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19 Commits
1.25.0 ... main

Author SHA1 Message Date
svc-idee-bot
7baeb07b36 chore(release): 1.32.0 [skip ci] 2026-07-24 13:00:47 +00:00
GitHub Action
f9888508cd feat: Release 8 new + 7 updated skills (2026-07-24) @W-23528521@ 2026-07-24 13:00:21 +00:00
Jim Jagielski
8ac5836022
Remove GUSINFO details from CODEOWNERS 2026-07-23 06:27:04 -04:00
Hemant Singh Bisht
c2428c6ff0
chore(W-23538245): remove stale manifest.json and DOCS_ONLY.md (#312)
chore: remove stale manifest.json and DOCS_ONLY.md @W-23538245@

manifest.json was a hand-curated skill registry last updated Feb 2026
that nothing consumes. DOCS_ONLY.md incorrectly states the repo contains
no code.
2026-07-22 21:34:18 +05:30
svc-idee-bot
a0b7442d8f chore(release): 1.31.0 [skip ci] 2026-07-17 15:05:21 +00:00
GitHub Action
ae560c9719 feat: Release 4 new skills + 6 skill updates (weekly batch 2026-07-16) @W-23461225@ 2026-07-17 15:04:55 +00:00
svc-idee-bot
587641d564 chore(release): 1.30.0 [skip ci] 2026-07-10 17:19:47 +00:00
GitHub Action
ae792239f2 feat: Release 2 new skills: platform-models-api-configure, platform-policy-rule-generate @W-23396600@ 2026-07-10 17:19:21 +00:00
Hemant Singh Bisht
abe0d620a4
docs(W-23363336): add stability disclaimer to README (#307)
Add stability disclaimer to README

Skills are under active development and don't carry GA-level stability
guarantees. This note sets expectations for developers who fork or sync
the repo that skill names, structure, and availability may change without
notice.

Signed-off-by: Hemant Singh Bisht <hsinghbisht@salesforce.com>
2026-07-09 21:34:02 +05:30
svc-idee-bot
2df76c2af9 chore(release): 1.29.0 [skip ci] 2026-07-03 13:21:07 +00:00
GitHub Action
e07b6b37b3 feat: Release 2 new skills: platform-value-set-generate, dx-code-analyzer-custom-rule-create @W-23286064@ 2026-07-03 13:20:46 +00:00
svc-idee-bot
c15b091537 chore(release): 1.28.0 [skip ci] 2026-07-03 05:25:27 +00:00
GitHub Action
3a358c3b1c feat: Release: Standardize skill folder structure scripts/, references/, assets/ @W-23262449@ 2026-07-03 05:25:02 +00:00
Jim Jagielski
a9a77002cb
Update license from Creative Commons to Apache 2.0
Replaced Creative Commons license with Apache License 2.0, updating terms and conditions for use, reproduction, and distribution.
2026-06-29 09:00:27 -04:00
svc-idee-bot
e89d8d17a8 chore(release): 1.27.0 [skip ci] 2026-06-29 10:08:25 +00:00
GitHub Action
fae028fd99 feat: Update stale cross-references to renamed skills @W-23223262@ 2026-06-29 10:08:01 +00:00
Hemant Singh Bisht
48ef93f39d
fix: @W-22259678@ update stale skill name references (#301)
fix: update stale skill name references to match new naming convention

- README.md: update folder structure examples from old names
  (generating-apex, generating-custom-object, generating-flow) to new
  names (platform-apex-generate, platform-custom-object-generate,
  automation-flow-generate)
- samples/AGENT.md (b2e + b2x): update using-ui-bundle-salesforce-data
  to experience-ui-bundle-salesforce-data-access
2026-06-29 12:32:07 +05:30
svc-idee-bot
7f223b0d41 chore(release): 1.26.0 [skip ci] 2026-06-26 17:15:52 +00:00
GitHub Action
77e5e1476c feat: release 4 new dx-devops skills @W-23195013@ 2026-06-26 17:15:29 +00:00
1195 changed files with 34310 additions and 5690 deletions

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# [1.32.0](https://github.com/forcedotcom/sf-skills/compare/1.31.0...1.32.0) (2026-07-24)
### Features
* Release 8 new + 7 updated skills (2026-07-24) @W-23528521@ ([f988850](https://github.com/forcedotcom/sf-skills/commit/f9888508cdcbf5fc09d00f9d099cb8acdfcc63e0))
# [1.31.0](https://github.com/forcedotcom/sf-skills/compare/1.30.0...1.31.0) (2026-07-17)
### Features
* Release 4 new skills + 6 skill updates (weekly batch 2026-07-16) @W-23461225@ ([ae560c9](https://github.com/forcedotcom/sf-skills/commit/ae560c9719cd051d58b72b82b7965fd899df241b))
# [1.30.0](https://github.com/forcedotcom/sf-skills/compare/1.29.0...1.30.0) (2026-07-10)
### Features
* Release 2 new skills: platform-models-api-configure, platform-policy-rule-generate @W-23396600@ ([ae79223](https://github.com/forcedotcom/sf-skills/commit/ae792239f2e798654c77348e0ee4593d3d3110e8))
# [1.29.0](https://github.com/forcedotcom/sf-skills/compare/1.28.0...1.29.0) (2026-07-03)
### Features
* Release 2 new skills: platform-value-set-generate, dx-code-analyzer-custom-rule-create @W-23286064@ ([e07b6b3](https://github.com/forcedotcom/sf-skills/commit/e07b6b37b399107249f056213cf73f7e6d469653))
# [1.28.0](https://github.com/forcedotcom/sf-skills/compare/1.27.0...1.28.0) (2026-07-03)
### Features
* Release: Standardize skill folder structure scripts/, references/, assets/ @W-23262449@ ([3a358c3](https://github.com/forcedotcom/sf-skills/commit/3a358c3b1cce0e0df8c6ba09cc7cd48bb0295341))
# [1.27.0](https://github.com/forcedotcom/sf-skills/compare/1.26.0...1.27.0) (2026-06-29)
### Bug Fixes
* @W-22259678@ update stale skill name references ([#301](https://github.com/forcedotcom/sf-skills/issues/301)) ([48ef93f](https://github.com/forcedotcom/sf-skills/commit/48ef93f39d25792029ea3a4287c845d842706f6f))
### Features
* Update stale cross-references to renamed skills @W-23223262@ ([fae028f](https://github.com/forcedotcom/sf-skills/commit/fae028fd99a366de12a41d5e256020aee82ffe29))
# [1.26.0](https://github.com/forcedotcom/sf-skills/compare/1.25.0...1.26.0) (2026-06-26)
### Features
* release 4 new dx-devops skills @W-23195013@ ([77e5e14](https://github.com/forcedotcom/sf-skills/commit/77e5e1476c696c8c33910f21d43d3c555f755c9e))
# [1.25.0](https://github.com/forcedotcom/sf-skills/compare/1.24.0...1.25.0) (2026-06-26)

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# Comment line immediately above ownership line is reserved for related other information. Please be careful while editing.
#ECCN:Open Source
#GUSINFO:Open Source,Open Source Workflow,Docs Only
#GUSINFO:

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@ -1,4 +0,0 @@
## Docs Only
This repo contains docs only; No code is allowed and the content is not
licensed under any Open Source license.

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as a limitation upon, or waiver of, any privileges and immunities
that apply to the Licensor or You, including from the legal
processes of any jurisdiction or authority.

View File

@ -4,14 +4,16 @@ This repository provides a curated collection of Salesforce agent skills for bui
The skills are contributed by Salesforce and the broader community. Its optimized for Agentforce Vibes and can be used with any AI tool that supports skills.
> ⚠️ **Expect frequent changes.** The Salesforce skills library is evolving rapidly as we refine patterns and incorporate feedback. Skills may be renamed, restructured, or removed between releases — they do not follow the same stability guarantees as GA platform APIs. If youve forked or synced the repository, be prepared for upstream changes that may conflict with local modifications. This repository is always the source of truth.
## 🗂️ Structure
```
sf-skills/
├── skills/ # Directory-based executable workflows
│ ├── generating-apex/
│ ├── generating-custom-object/
│ ├── generating-flow/
│ ├── platform-apex-generate/
│ ├── platform-custom-object-generate/
│ ├── automation-flow-generate/
│ └── ...
├── samples/ # Synced sample apps (e.g. from npm)
│ └── ui-bundle-template-app-react-sample-b2e/

View File

@ -1,421 +0,0 @@
{
"version": 1,
"generatedAt": "2026-02-17T21:01:05.349Z",
"branch": "main",
"prompts": [
{
"name": "PricingService Invocable Scaffold",
"path": "prompts/apex-development/scaffold-invocable-apex.md",
"description": "Create a PricingService Apex class with an invocable getPricing method and typed inputs/outputs for Flow.",
"category": "apex-development",
"tags": [
"apex",
"invocable",
"flow",
"scaffold"
]
},
{
"name": "Travel Plan Object Scaffold",
"path": "prompts/apex-development/scaffold-object.md",
"description": "Provision a Travel Plan custom object with fields, layout, tab, and permission set ready for deployment.",
"category": "apex-development",
"tags": [
"salesforce",
"custom-object",
"scaffold",
"deployment"
]
},
{
"name": "Trigger Refactor Helper",
"path": "prompts/apex-development/trigger-refactoring.md",
"description": "Refactor the Opportunity trigger into a handler pattern with tests",
"category": "apex-development",
"tags": [
"apex",
"refactor",
"testing"
]
},
{
"name": "Account Test Data Generator",
"path": "prompts/data-operations/create-fake-data.md",
"description": "Create an Apex script that generates 10 realistic Account records with complete business data including name, account number, type, industry, annual revenue, ticker symbol, and number of employees. Includes documentation on how to execute the script anonymously.",
"category": "data-operations",
"tags": [
"salesforce",
"apex",
"data-generation",
"test-data",
"developer",
"admin"
]
},
{
"name": "Account Layout Field Enhancement",
"path": "prompts/getting-started/add-fields-pagelayout.md",
"description": "Add Type and Industry fields to the Account page layout for better data organization and reporting.",
"category": "getting-started",
"tags": [
"salesforce",
"account",
"page-layout",
"admin",
"data-management"
]
},
{
"name": "Lead Source Picklist Enhancement",
"path": "prompts/getting-started/add-picklist-value.md",
"description": "Add a new 'Referral' value to the Lead Source picklist on the Lead object for better lead tracking.",
"category": "getting-started",
"tags": [
"salesforce",
"lead",
"picklist",
"data-management",
"admin"
]
},
{
"name": "High Priority Case Assignment Rule",
"path": "prompts/getting-started/create-assignment-rules.md",
"description": "Create an assignment rule that automatically routes high priority Cases to a specific queue or user for immediate attention.",
"category": "getting-started",
"tags": [
"salesforce",
"case-management",
"assignment-rules",
"automation",
"admin"
]
},
{
"name": "Project Object Quickstart",
"path": "prompts/getting-started/create-basic-custom-object.md",
"description": "Scaffold a Project__c custom object with core fields and deployable metadata.",
"category": "getting-started",
"tags": [
"salesforce",
"custom-object",
"beginner"
]
},
{
"name": "Opportunity Days Open Formula",
"path": "prompts/getting-started/create-opp-formula.md",
"description": "Create a formula field on Opportunity that calculates the number of days since the record was created.",
"category": "getting-started",
"tags": [
"salesforce",
"opportunity",
"formula-field",
"automation",
"admin"
]
},
{
"name": "Account Editor Permission Set",
"path": "prompts/getting-started/create-permission-set.md",
"description": "Create a permission set that grants edit access to Account records and assign it to the current user.",
"category": "getting-started",
"tags": [
"salesforce",
"permission-set",
"security",
"admin",
"user-management"
]
},
{
"name": "Account Opportunity Count Roll-Up",
"path": "prompts/getting-started/create-rollup-summary.md",
"description": "Create a roll-up summary field on Account that counts related Opportunities for better relationship tracking.",
"category": "getting-started",
"tags": [
"salesforce",
"account",
"opportunity",
"rollup-summary",
"automation",
"admin"
]
},
{
"name": "Hello World LWC Starter",
"path": "prompts/getting-started/first-lightning-web-component.md",
"description": "Generate a greeting Lightning Web Component and explain its HTML, JS, and metadata files.",
"category": "getting-started",
"tags": [
"lwc",
"ui",
"beginner"
]
},
{
"name": "Opportunity Days Till Close Formula",
"path": "prompts/getting-started/formula-field-days-till-close.md",
"description": "Build an Opportunity formula that calculates days between CreatedDate and CloseDate.",
"category": "getting-started",
"tags": [
"formula",
"opportunity",
"admin"
]
},
{
"name": "Opportunity Close Date Validation",
"path": "prompts/getting-started/opp-validation-rule.md",
"description": "Create a validation rule on Opportunity that prevents saving when the Close Date is in the past.",
"category": "getting-started",
"tags": [
"salesforce",
"opportunity",
"validation-rule",
"data-quality",
"admin"
]
},
{
"name": "StringUtils Utility Scaffold",
"path": "prompts/getting-started/reusable-apex-string-utility-class.md",
"description": "Create a foundational StringUtils Apex helper with core string methods and unit tests.",
"category": "getting-started",
"tags": [
"apex",
"utility",
"testing"
]
},
{
"name": "DateUtils Utility Primer",
"path": "prompts/getting-started/simple-apex-utility-class.md",
"description": "Generate a documented DateUtils Apex class with daysBetween and addDays helpers.",
"category": "getting-started",
"tags": [
"apex",
"utility",
"beginner"
]
},
{
"name": "Opportunity Stage Score Formula",
"path": "prompts/getting-started/stage-based-opportunity-scoring-formula.md",
"description": "Craft a readable Opportunity formula that assigns numeric scores per stage.",
"category": "getting-started",
"tags": [
"formula",
"opportunity",
"admin"
]
},
{
"name": "Test Data Factory Kickoff",
"path": "prompts/getting-started/test-data-factory-basics.md",
"description": "Build an Apex factory for Accounts, Contacts, and Opportunities with usage examples.",
"category": "getting-started",
"tags": [
"apex",
"testing",
"test-data"
]
},
{
"name": "Account Trigger Starter",
"path": "prompts/getting-started/trigger-and-handler-example.md",
"description": "Create a simple Account trigger and handler that sets default values before insert.",
"category": "getting-started",
"tags": [
"apex",
"trigger",
"beginner"
]
},
{
"name": "Account Employee Validation Rule",
"path": "prompts/getting-started/validation-rule-on-account.md",
"description": "Draft a rule that blocks Account save when NumberOfEmployees is blank.",
"category": "getting-started",
"tags": [
"validation-rule",
"account",
"admin"
]
},
{
"name": "Opportunity Approval Investigation",
"path": "prompts/investigation-triage/fix-complex-approval-logic.md",
"description": "Diagnose inconsistent approval checkbox behavior on Opportunities and propose a remediation plan.",
"category": "investigation-triage",
"tags": [
"investigation",
"triage",
"opportunity",
"approval-process"
]
},
{
"name": "Asset Tracker Spec Build",
"path": "prompts/spec-driven-dev/asset-tracker.md",
"description": "Gather requirements and deliver a full Asset tracker app via a spec-driven workflow.",
"category": "spec-driven-dev",
"tags": [
"spec-driven",
"lwc",
"custom-object",
"app"
]
},
{
"name": "Apex Unit Test Generator",
"path": "prompts/testing-automation/create-unit-test.md",
"description": "Create a comprehensive test class for any Apex class with test data setup and result verification.",
"category": "testing-automation",
"tags": [
"salesforce",
"apex",
"testing",
"unit-test",
"automation",
"developer"
]
},
{
"name": "Run All Apex Tests",
"path": "prompts/testing-automation/run-all-test.md",
"description": "Execute all Apex tests in the org and display a comprehensive summary including total tests run, number passed, and overall code coverage percentage.",
"category": "testing-automation",
"tags": [
"salesforce",
"apex",
"testing",
"automation",
"test-coverage"
]
},
{
"name": "Compliment Mixer App",
"path": "prompts/vibe-coding/compliment-mixer.md",
"description": "Build a playful compliment generator with custom UI, persistence, and recent history.",
"category": "vibe-coding",
"tags": [
"vibe-coding",
"lwc",
"app",
"fun"
]
}
],
"rules": [
{
"name": "Apex Development Guardrails",
"path": "rules/apex-development/apex-requirements.md",
"description": "Enforce best practices for Apex architecture, performance, security, and testing.",
"category": "apex-development",
"tags": [
"apex",
"rules",
"guardrails",
"testing",
"security"
]
},
{
"name": "LWC Development Guardrails",
"path": "rules/lwc-development/lwc-requirements.md",
"description": "Standardize Lightning Web Component architecture, UX, and tooling practices.",
"category": "lwc-development",
"tags": [
"lwc",
"rules",
"ux",
"architecture"
]
},
{
"name": "Spec-Driven App Development Standards",
"path": "rules/spec-driven-dev/app-dev.md",
"description": "Apply architecture, integration, and governance requirements for specification-led Salesforce builds.",
"category": "spec-driven-dev",
"tags": [
"spec-driven",
"architecture",
"governance",
"rules"
]
}
],
"skills": [
{
"name": "apex-class",
"path": "skills/apex-development/apex-class/SKILL.md",
"folderPath": "skills/apex-development/apex-class",
"category": "apex-development",
"files": [
"SKILL.md",
"examples/AccountDeduplicationBatch.cls",
"examples/AccountSelector.cls",
"examples/AccountService.cls",
"templates/abstract.cls",
"templates/batch.cls",
"templates/domain.cls",
"templates/dto.cls",
"templates/exception.cls",
"templates/interface.cls",
"templates/queueable.cls",
"templates/schedulable.cls",
"templates/selector.cls",
"templates/service.cls",
"templates/utility.cls"
],
"description": "Generate production-ready Apex classes for Salesforce following enterprise best practices. Covers service classes, selectors, domain classes, batch/queueable/schedulable, DTOs, utilities, interfaces, abstract classes, and custom exceptions. Not for triggers or unit tests."
},
{
"name": "trigger-refactor-pipeline",
"path": "skills/apex-development/trigger-refactor-pipeline/SKILL.md",
"folderPath": "skills/apex-development/trigger-refactor-pipeline",
"category": "apex-development",
"files": [
"SKILL.md",
"assets/test_template.apex",
"references/handler_patterns.md",
"scripts/analyze_trigger.py"
],
"description": "Refactor Salesforce triggers into handler patterns with automated test generation and deployment. Use when modernizing legacy triggers with DML/SOQL in loops or inconsistent patterns.",
"license": "Apache-2.0",
"compatibility": "Requires Salesforce CLI, Python 3.9+",
"allowedTools": "Bash Read Write"
},
{
"name": "deployment-readiness-check",
"path": "skills/metadata-deployments/deployment-readiness-check/SKILL.md",
"folderPath": "skills/metadata-deployments/deployment-readiness-check",
"category": "metadata-deployments",
"files": [
"SKILL.md",
"assets/deployment_checklist.md",
"references/rollback_procedures.md",
"scripts/check_metadata.sh"
],
"description": "Comprehensive pre-deployment validation checklist for Salesforce releases. Use before deploying to production to catch metadata issues, test coverage gaps, and configuration errors.",
"license": "Apache-2.0",
"compatibility": "Requires Salesforce CLI, jq, bash",
"allowedTools": "Bash Read"
},
{
"name": "apex-test-class",
"path": "skills/testing-automation/apex-test-class/SKILL.md",
"folderPath": "skills/testing-automation/apex-test-class",
"category": "testing-automation",
"files": [
"SKILL.md",
"references/assertion-patterns.md",
"references/async-testing.md",
"references/mocking-patterns.md",
"references/test-data-factory.md"
],
"description": "Apex test class generation with TestDataFactory patterns, bulk testing (200+ records), mocking strategies for callouts and async operations, and assertion best practices. Use when creating new Apex test classes, improving test coverage, refactoring existing tests, or implementing proper testing patterns for triggers, services, controllers, batch jobs, queueables, and integrations."
}
]
}

View File

@ -1,6 +1,6 @@
{
"name": "@salesforce/afv-skills",
"version": "1.25.0",
"version": "1.32.0",
"description": "Salesforce skills for Agentforce Vibes",
"license": "CC-BY-NC-4.0",
"files": [

View File

@ -146,7 +146,7 @@ Do not consider a task complete until all three steps have been run successfully
### Data access (Salesforce)
**Before writing any code that connects to Salesforce, you MUST invoke the `using-ui-bundle-salesforce-data` skill. Do not write any data access code without consulting it first.**
**Before writing any code that connects to Salesforce, you MUST invoke the `experience-ui-bundle-salesforce-data-access` skill. Do not write any data access code without consulting it first.**
This applies to: GraphQL queries/mutations, REST calls, SDK initialization, custom hooks that fetch data, or any code that imports from `@salesforce/platform-sdk`.

View File

@ -146,7 +146,7 @@ Do not consider a task complete until all three steps have been run successfully
### Data access (Salesforce)
**Before writing any code that connects to Salesforce, you MUST invoke the `using-ui-bundle-salesforce-data` skill. Do not write any data access code without consulting it first.**
**Before writing any code that connects to Salesforce, you MUST invoke the `experience-ui-bundle-salesforce-data-access` skill. Do not write any data access code without consulting it first.**
This applies to: GraphQL queries/mutations, REST calls, SDK initialization, custom hooks that fetch data, or any code that imports from `@salesforce/platform-sdk`.

View File

@ -44,7 +44,7 @@ See `SKILL.md` for the full flag table and sample prompts.
## Directory layout
```
```text
agentforce-architecture-analyze/
├── SKILL.md Skill contract (inputs, outputs, pipeline, invariants)
├── README.md This file
@ -73,12 +73,11 @@ agentforce-architecture-analyze/
│ ├── finalize.py Merge waves → metadata_tree.json
│ ├── render_architecture.py architecture.md + Mermaid graph
│ ├── resolve_invocation_target.py ID-prefix router for NGA InvocationTargets
│ ├── emit_env.py Env-var emit helper (Phase 0.5)
│ ├── emit_result.py Final RESULT block renderer
│ ├── sanitize.py Stdin → safe-string filter
│ ├── write_emit_ctx.py Per-phase ctx writer
│ └── tests/ Unit + integration tests (unittest)
└── tools/
├── emit_env.py Env-var emit helper (Phase 0.5)
├── emit_result.py Final RESULT block renderer
├── sanitize.py Stdin → safe-string filter
└── write_emit_ctx.py Per-phase ctx writer
```
---
@ -87,7 +86,7 @@ agentforce-architecture-analyze/
### Channel strategy — SOQL-first
```
```text
Seed query: planner_definition_by_agent_chain (chain-LIKE lookup → planner id)
6 parallel Tooling SOQL channels (keyed on the resolved planner id):
@ -148,9 +147,3 @@ Per-branch ancestor-path cycle detection is the primary termination primitive: t
| `INVALID_FIELD` from a SOQL asset | Salesforce renamed / removed the field in a quarterly release. Run with `--reprobe` to refresh the 7-day channel cache and pick up the new schema |
| `STATUS=PROBE_FAILED` on first run | Channel probe saw a mandatory field missing. Check `channels.json` under the probe cache dir for which sObject / field — may require org-side feature enablement |
| Tree for classic ReAct agent shows `_unresolved` entries for NGA plugins | Expected — the NGA external-plugin retrieve is skipped when the planner shape is classic. Those entries can be ignored |
---
## Author
Raghul Jayagopal (RJ), Salesforce ANZ FDE.

View File

@ -135,7 +135,7 @@ set -e
# Final RESULT block is emit_result.py's stdout — MUST be the last thing
# stdout sees. emit_result exits 0 on render success; the bash harness
# propagates main.py's rc for the agent's exit status.
WORK_DIR="$WORK_DIR" python3 "$SKILL_ROOT/tools/emit_result.py"
WORK_DIR="$WORK_DIR" python3 "$SKILL_ROOT/scripts/emit_result.py"
exit "$_rc"
```
@ -157,14 +157,14 @@ exit "$_rc"
All artifacts under `~/.vibe/data/agentforce-architecture-analyze/<org_id15>/<agent_api_name>__<agent_version>/` (default; override with `--data-dir <path>`):
```
```xml
<agent>_<ver>_metadata_tree.json primary artifact — normalized planner/topic/action/flow/apex/prompt/plugin tree
<agent>_<ver>_architecture.md human-readable section-by-section rendering (H1 + 7 numbered sections, plus a conditional Dependency graph appendix). Mermaid diagrams are embedded inside the relevant sections (Action tree, Data flow, and Dependency graph)
```
## Pipeline — inline, no subagent
```
```text
resolve_bot.py → BotDefinition + BotVersion + planner name lookup
retrieve_planner.py → Metadata API zip retrieve for GenAiPlannerBundle (+ NGA plugins if present)
parallel_retrieve.py → 6 parallel Tooling SOQL channels fan out from the planner id

View File

@ -1,5 +1,5 @@
{
"_doc": "retired-name references replaced with plugin-scoped layout. Machine-readable I/O contract for investigating-agentforce-architecture. Orchestrator code reads this file (not SKILL.md prose) to discover the input schema, output keys, STATUS enum, and error-contract rules. The architecture skill runs inline (no subagent).",
"_doc": "retired-name references replaced with plugin-scoped layout. Machine-readable I/O contract for agentforce-architecture-analyze. Orchestrator code reads this file (not SKILL.md prose) to discover the input schema, output keys, STATUS enum, and error-contract rules. The architecture skill runs inline (no subagent).",
"_schema_version": "3.1",
"_schema_notes": "3.1 (2026-05-05) canonicalizes `invocation_type` on STANDARD_ACTION / UNKNOWN nodes in the metadata tree. Prior versions split this across `raw_invocation_type` (bundle-sourced nodes) and `raw_action_type` (flow-actionCall-sourced nodes). Both legacy keys are still tolerated by readers for one release.",
"input": {
@ -35,15 +35,15 @@
},
"work_dir": {
"type": "absolute_path",
"description": "Ephemeral scratch. Default: /tmp/investigating-agentforce-architecture-<epoch>-<rand>."
"description": "Ephemeral scratch. Default: /tmp/agentforce-architecture-analyze-<epoch>-<rand>."
},
"cache_root": {
"type": "absolute_path",
"description": "Internal rebuildable cache root. Default: ~/.vibe/cache/investigating-agentforce-architecture. Override with --cache-dir <path>."
"description": "Internal rebuildable cache root. Default: ~/.vibe/cache/agentforce-architecture-analyze. Override with --cache-dir <path>."
},
"data_root": {
"type": "absolute_path",
"description": "Durable user-facing output root. Default: ~/.vibe/data/investigating-agentforce-architecture. Override with --data-dir <path>."
"description": "Durable user-facing output root. Default: ~/.vibe/data/agentforce-architecture-analyze. Override with --data-dir <path>."
},
"force_refresh": {
"type": "boolean",

View File

@ -64,7 +64,7 @@ Every edge is strictly **forward** from the entry query
(`GenAiPlannerDefinition WHERE DeveloperName = :planner_name`). No
backward lookups.
```
```text
BotDefinition (Data API, PK Id, matched by DeveloperName)
└── BotVersion (Data API, FK BotDefinitionId)
│ [resolved to planner name via Bot metadata retrieve]

View File

@ -10,7 +10,7 @@ or malformed input could inject fake KEY=VALUE pairs that downstream consumers
would treat as authoritative.
Usage:
_safe=$(python3 "$SKILL/tools/sanitize.py" "$raw_value")
_safe=$(python3 "$SKILL/scripts/sanitize.py" "$raw_value")
Arguments:
argv[1] raw string (may be empty)

View File

@ -6,7 +6,7 @@ does `from config import ...`. Tests mirror that by inserting scripts/
onto sys.path.
fs_guard is now sourced via ``from config import fs_guard`` (config.py
re-exports it from the plugin _shared/ package). No tools/ entry on
re-exports it from the plugin _shared/ package). No separate entry on
sys.path is required config.py's dev-fallback walks up to the repo's
``plugins/investigating-agentforce-architecture/shared/`` when ``scripts/_shared/``
hasn't yet been mirrored by install.sh / the build script.

View File

@ -44,10 +44,10 @@ from tests.fixtures import genai_payloads as fx # type: ignore
_REPO_SOQL_DIR = Path(__file__).resolve().parent.parent.parent / "assets" / "soql"
soql_loader.SOQL_DIR = _REPO_SOQL_DIR
# emit_result.py lives under tools/; tests invoke it via subprocess so the
# emit_result.py lives under scripts/; tests invoke it via subprocess so the
# tool's RESULT-formatting logic is exercised under the same contract the
# SKILL.md Bash wrapper uses.
_TOOLS_DIR = Path(__file__).resolve().parent.parent.parent / "tools"
_TOOLS_DIR = Path(__file__).resolve().parent.parent
# ---------------------------------------------------------------------------

View File

@ -32,9 +32,9 @@ from . import _bootstrap # noqa: F401
def _tools_dir() -> pathlib.Path:
"""Absolute path to the skill's tools/ dir — where the scripts live."""
"""Absolute path to the skill's scripts/ dir — where the emit helpers live."""
here = pathlib.Path(__file__).resolve()
return here.parent.parent.parent / "tools"
return here.parent.parent
def _run_script(script_name: str, env: dict) -> subprocess.CompletedProcess:
@ -439,7 +439,7 @@ class EmitResultPositionalSafetyTests(unittest.TestCase):
def test_build_block_happy_path_auto_promotes_without_asserting(self):
"""Sanity: the assertion does NOT fire under normal operation."""
# Force import of emit_result from the tools/ dir.
# Force import of emit_result from the scripts/ dir.
import importlib.util
spec = importlib.util.spec_from_file_location(
"emit_result_mod", _tools_dir() / "emit_result.py",

View File

@ -83,7 +83,7 @@ import sys
# local, dependency-free token scrub mirroring the patterns in
# `scripts/rest_client.redact_text`. Keeping the redactor inline preserves
# the tools/ <-> scripts/ decoupling (tools/ is stdlib-only by policy) and
# the scripts/ emit helpers (stdlib-only by policy) and
# avoids adding a sys.path hop on every write_emit_ctx invocation. The two
# implementations must stay in sync; the shared regex shapes are:
# * Authorization: Bearer <token>

View File

@ -0,0 +1,217 @@
---
name: agentforce-bot-upgrade
description: "Use this skill to Upgrade Einstein Bots into Agentforce agents end-to-end in a single pass, orchestrating per-bot Agent Spec generation, planner reconciliation across bots, agentforce-generate authoring, and post-conversion .agent enhancements. TRIGGER when: user asks to migrate, upgrade, or convert one or more Einstein Bots to Agentforce; runs a multi-bot bot-to-agent upgrade; needs Einstein Bot metadata turned into Agent Spec handoffs and generated .agent agents; convert bots to agents; upgrade my service bots; move bots to Agentforce. DO NOT TRIGGER when: user already has an approved Agent Spec and only wants direct .agent authoring, deploy, test, or observe flows; the request is unrelated to Einstein Bot migration."
argument-hint: "[--mode <online|offline>] [--org-alias <org-alias> --bots <bot1:v1,bot2:v2,...> | --offline-dir <offline-dir> [--bots <bot1,bot2,...>]] [--interactive <true|false>]"
metadata:
version: "1.0"
minApiVersion: "63.0"
relatedSkills:
- "agentforce-generate"
- "agentforce-test"
- "agentforce-observe"
cliTools:
- tool: ["sf"]
semver: ">=2.0.0"
---
# Einstein Bot Upgrade Orchestrator
## Purpose
Run a multi-bot upgrade-and-handoff cycle:
1. Parse and validate bot/version pairs from `--bots`
2. Follow [Generate Agent Spec Reference](references/generate-agent-spec.md) per bot-version pair (parallelizable)
3. Aggregation step that requires all generated Agent Specs
4. `/agentforce-generate` per Agent Spec (parallelizable)
5. Post-conversion enhancement pass per generated Agent Script (parallelizable)
## Inputs
Inputs:
- `--mode <online|offline>` is optional; default is `online` when omitted.
- If `mode=online`, required:
- `--org-alias <org-alias>`
- `--bots <bot1:v1,bot2:v2,...>`
- If `mode=offline`, required:
- `--offline-dir <offline-dir>`
- `--interactive <true|false>` is optional; default is `true` when omitted.
If required inputs are missing, handle per the Missing Input Handling and Interactive Mode rules below.
## Interactive Mode
`--interactive` controls whether the skill pauses for user input during execution:
- `--interactive true` (default): resolve ambiguities, open questions, and approval gates by asking the user, as described in this skill and its references.
- `--interactive false`: run autonomously. Do NOT prompt the user at any decision point. For every open question, ambiguity, or approval gate, apply the documented recommended default/solution and record the auto-applied decision in the run artifacts (Agent Spec, open questions, extraction summary). The only hard stops permitted without prompting are inputs that are missing or contradictory with no safe recommended default — a missing mandatory launch input (`--org-alias`/`--bots` for online, `--offline-dir` for offline), no bots discovered, or the same bot given multiple versions. In those cases, report the issue and halt without prompting.
Propagate the effective `--interactive` value to the per-bot Generate Agent Spec workflow (Step 2), the planner workflow (Step 3), and the post-conversion enhancement pass (Step 5).
## Missing Input Handling
Resolve missing required launch inputs before Step 1:
1. **Online mode — `--org-alias` not provided.** Resolve this before attempting to list bots (listing requires a target org).
- Interactive: list the available aliases of logged-in orgs and ask the user to select the target org. Use the SF CLI patterns in [SF CLI Bot Reference](references/sf-cli-bot-reference.md).
- Non-interactive: halt with an explicit error naming the missing `--org-alias` input (do not prompt or list).
2. **Online mode — bot name and version (`--bots`) not available.**
- Interactive: using `--org-alias` as the target org, list every bot and its versions in the org, then ask the user to select the bot/version entries they want to convert to agents. Use the `BotDefinition` and `BotVersion` query patterns in [SF CLI Bot Reference](references/sf-cli-bot-reference.md) — omit the name/version filters to enumerate all bots and versions — present the results, and build the `--bots` workload from the user's selection.
- Non-interactive: halt with an explicit error naming the missing `--bots` input (do not prompt or list).
3. **Offline mode — `--offline-dir` not available.**
- Interactive: ask the user to provide the `--offline-dir` path, then continue.
- Non-interactive: fail with an explicit error naming the missing `--offline-dir` input (do not prompt).
## References
Use these reference files during execution:
1. [SF CLI Bot Reference](references/sf-cli-bot-reference.md)
2. [Generate Agent Spec Reference](references/generate-agent-spec.md)
3. [Planner Workflow Reference](references/planner-workflow-reference.md)
4. [Post-Conversion Enhancements Reference](references/post-conversion-enhancements-reference.md)
5. [Extraction Blueprint](references/extraction-blueprint.md)
6. [Input Contract](references/input-contract.md)
7. [Mapping Rules](references/mapping-rules.md)
8. [Handoff Output Format](references/handoff-output-format.md)
9. [Quality Checklist](references/quality-checklist.md)
## Execution Contract
### Step 1: Parse and Validate `--bots`
Execute Step 1 in this order:
1. Resolve mode:
- If `--mode` omitted, use `online`.
2. Start fresh for this invocation:
- do not discover, inspect, or reuse outputs from previously existing runs
- treat this invocation as a clean execution context
- only use artifacts produced during the current invocation flow
3. Build initial workload list:
- `mode=online`: read `--bots` and split by comma.
- `mode=offline`: scan `<offline-dir>` and collect immediate sub-directories as bot workload roots.
4. Validate input shape:
- `mode=online`: each `--bots` token must match `<bot-name>:<version>`.
- `mode=offline`: ensure at least one bot sub-directory exists; otherwise STOP (in interactive mode ask the user to clarify; in non-interactive mode halt with an explicit error per the Interactive Mode rule).
5. Normalize workload entries:
- `mode=online`: build `{bot_name, bot_version}` entries.
- `mode=offline`: build `{offline_bot_dir}` entries (Annotate inferred bot name and version when derivable from the sub-directory structure; if not derivable, leave the entry unnamed and continue).
6. Enforce one-version-per-bot rule (online mode):
- If the same `bot_name` appears with multiple versions, STOP (in interactive mode ask the user to clarify; in non-interactive mode halt with an explicit error per the Interactive Mode rule).
7. Apply offline bot filter:
- If `mode=offline` and `--bots` is provided, use `--bots` only as a filter over discovered sub-directories; do not treat it as required offline input.
8. Persist Step 1 output:
- Save and carry forward a validated workload list for Step 2 parallel execution.
### Step 2: Run Einstein Bot Upgrade (Per Bot-Version)
Execute the agent spec generation workflow from [Generate Agent Spec Reference](references/generate-agent-spec.md) per bot-version combination:
- `--mode <online|offline>` (default `online` if omitted)
- mode-specific required inputs:
- online -> `--org-alias`, `--bot`, `--bot-version`
- offline -> `--offline-dir`
- `--interactive <true|false>` (pass through the effective orchestrator value; default `true`)
Parallelization rule:
- In `mode=online`, execute invocations in parallel because each bot-version pair is independent.
- In `mode=offline`, execute the [Generate Agent Spec Reference](references/generate-agent-spec.md) workflow in parallel over every bot sub-directory discovered in Step 1.
- Pass `--mode offline` and `--offline-dir <bot-subdirectory-path>` per invocation.
Ensure each invocation (online/offline) uses isolated working directories to avoid cross-run file collisions.
Hard rules:
- Do not skip this step.
### Step 3: Aggregation + Planner Step (Conditional)
After all upgrade invocations complete:
1. Always build a consolidated list of `{bot_name, bot_version, run_project_dir, agent_spec_path}`.
2. Always build list of failed/incomplete upgrade runs (if any).
3. Always build an initial ready-for-authoring list containing only valid Agent Spec entries.
- Each entry must include: `{bot_name, bot_version, run_project_dir, agent_spec_path, handoff_json_path, open_questions_path}`.
4. If total bot workload count is greater than 1:
- Execute planner workflow from [Planner Workflow Reference](references/planner-workflow-reference.md) using:
- all ready-for-authoring `agent_spec_path` values as `spec_paths`
- orchestrator working directory as `working_dir`
- the associated per-spec artifacts from each ready-for-authoring entry: `handoff_json_path` (handoff JSON) and `open_questions_path` (open questions)
- Require output file at `<orchestrator working directory>/bot-upgrade-planner-output.json`.
- Read `bot-upgrade-planner-output.json` and apply:
- if `specs_changed=true`: replace ready-for-authoring entries using planner fields (`updated_spec_path`, `run_project_dir`, `handoff_json_path`, `open_questions_path`)
- if `specs_changed=false`: keep original ready-for-authoring list unchanged
5. If total bot workload count is 1:
- Skip planner workflow entirely.
- Keep original ready-for-authoring list unchanged.
Planner output expectations:
1. boolean `specs_changed`
2. `updated_specs` array with entries:
- `original_spec_path`
- `updated_spec_path`
- `run_project_dir`
- `handoff_json_path`
- `open_questions_path`
3. `updated_specs` must be empty when `specs_changed=false`
### Step 4: Invoke Agentforce-Generate (Per Agent Spec)
For each entry in final ready-for-authoring list (post Step 3 planner reconciliation):
0. Add this recommendation to the generated invocation context before calling `/agentforce-generate`:
- Do **not activate** Agent Script versions in this orchestrated run.
- Draft iteration is required: generating `.agent`, validating, deploying, and preview testing are allowed.
- Activate should be deferred unless the user explicitly asks for release.
1. Resolve effective `run_project_dir` from the final ready-for-authoring entry.
2. Read `<run_project_dir>/agentforce-generate-invocation-prompt.md` fully.
3. If Step 3 produced planner-updated spec paths/artifacts, apply path substitutions in the invocation context so spec/handoff/open-questions references point to updated files.
- If planner also changed `run_project_dir`, use that updated `run_project_dir` for resolving prompt/output-contract paths.
4. Keep all non-path instructions unchanged from the original generated prompt.
5. Invoke `/agentforce-generate` with this resolved invocation context.
6. Read `<run_project_dir>/agentforce-generate-output-contract.md` and capture outputs exactly as specified.
Parallelization rule:
- Invoke `/agentforce-generate` in parallel across Agent Specs because each run is independent.
Output-contract capture rules:
1. Treat the output contract as authoritative for required fields/artifacts.
2. If any contract field is missing, mark status as partial and list missing fields explicitly.
3. Return captured outputs with deterministic keys matching the contract names.
4. Preserve output file paths and status of each required artifact.
5. If expected prompt/contract files are missing for an entry, mark that entry `partial`, record missing paths, and continue processing other entries.
### Step 5: Post-Conversion Agent Script Enhancements (Per Generated Agent Script)
After Step 4 completes, for each generated `.agent` artifact:
1. Resolve the generated `.agent` file path from captured `/agentforce-generate` outputs.
2. Execute post-conversion enhancement workflow from [Post-Conversion Enhancements Reference](references/post-conversion-enhancements-reference.md) with:
- `agentscript_file=<generated-agent-file-path>`
- `mode=<online|offline>` (the effective orchestrator run mode resolved in Step 1)
- online mode only: `org_alias=<org-alias>` (required so the enhanced Agent Script can be redeployed)
3. Require in-place enhancement:
- optimized/enhanced output must be written to the same `.agent` file location.
4. Capture per-file enhancement status and any partial failures.
Parallelization rule:
- Execute post-conversion enhancement workflow in parallel across generated `.agent` files because each file enhancement is independent.
### Step 6: Consolidate Run Report and Conclude
After Step 5 completes for every bot in the workload:
1. Write a single consolidated, human-readable run report as a non-empty Markdown file in the orchestrator working directory. Per bot, the report must state: the effective run mode, whether the planner ran (`executed` or `skipped`), the generated Agent Spec path and generated `.agent` path, the action inventory (including any `NEEDS_STUB` items), and — when `--interactive=false` — the auto-applied decisions.
2. Treat the run report as the FINAL artifact: write it only after all other artifacts (Agent Spec(s), handoff JSON, open questions, any planner output, and generated `.agent` file(s)) are already written.
## Deliverable
Return:
1. parsed bot/version list
2. per-bot upgrade execution status
3. aggregation output (full Agent Spec list + final ready-for-authoring subset)
4. planner workflow status (`executed` or `skipped`) and `bot-upgrade-planner-output.json` path when executed
5. per-spec `/agentforce-generate` execution status
6. generated handoff artifact paths per bot/spec (including planner-updated artifacts when applicable)
7. captured `/agentforce-generate` outputs per output contract
8. per-agent post-conversion enhancement status (including enhanced `.agent` file paths)
9. path to the consolidated run report written in Step 6

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# Extraction Blueprint
## Goal
Extract only migration-relevant behavior from Einstein Bot and discard transport noise.
## Required Extractions
### 1) Dialog Graph
**Input files:**
Paths below are shown relative to the bots root directory. For org-backed retrieval this root is the SFDX default metadata directory `force-app/main/default/` (so the full path is `force-app/main/default/bots/<BotName>/…`, as retrieved in [SF CLI Bot Reference](sf-cli-bot-reference.md) section 3). For offline input this root is the provided `--offline-dir` (e.g. `bots/`).
- `bots/<BotName>/<BotName>.bot-meta.xml` (bot-level metadata)
- `bots/<BotName>/<version>.botVersion-meta.xml` (dialog + step graph source of truth)
**Build the graph with this process:**
1. Parse every `<botDialogs>` block in `<version>.botVersion-meta.xml` as one node.
2. For each node, capture:
- `developerName` (node id)
- `label`
- `mlIntent` (if present)
- `dialogGroup` / grouping metadata if present
3. Treat each `<botSteps>` entry inside a dialog as a step in execution order.
4. While scanning each step, also detect action invocations and variable mappings from bot steps:
- invocation/action step types (for example `Invocation`)
- action identifier/name and invocation type (`apex`, `flow`, `standardInvocableAction`, etc.)
- variables read by the action (bot variables passed as invocation inputs)
- variables updated by the action (bot variables set from invocation outputs)
- escalation actions from system messages:
- if a dialog contains `conversationSystemMessage` of type `Transfer`, add an action entry with `action_type: "escalate"`
- determine escalation target type (`queue`, `flow`, `bot`, or `skill`) by reading `systemMessageMappings` under that `conversationSystemMessage` and resolving referenced variables against declarations in `<conversationVariables>`
- store both the resolved `target_type` and mapped target identifier/value on the action record
- persist this as `invoked_actions` on the dialog node and as action-level records in `action_inventory`
5. While scanning each step, detect transition-producing step types:
- `Navigation` with `<botNavigationLinks>`
- `Group` containing nested `Navigation`
- `Wait` type steps, which define intent-driven routing points (intent redirect behavior)
6. For every discovered transition, add one directed edge:
- `source_dialog` -> `targetBotDialog`
- `type` (`redirect`, `call`, `intent_redirect`)
7. Capture conditions from enclosing step/group when present:
- `leftOperandName`
- `operatorType`
- `rightOperandValue`
- store as a normalized condition expression on the edge
8. Mark graph role hints:
- probable entry dialogs (for example `Welcome`, `Main_Menu`, or system entry mapping)
- terminal dialogs (for example paths ending in `SystemMessage` + `EndChat`, with no outbound navigation)
**Required output for dialog graph extraction:**
```json
{
"nodes": [
{
"dialog": "Main_Menu",
"label": "Main Menu",
"intent": "Main_Menu",
"invoked_actions": [
{
"action_name": "Airline_Get_User_Details",
"action_type": "flow",
"variables_read": ["user_email"],
"variables_written": ["airline_user", "is_success"]
}
]
}
],
"edges": [
{
"source": "Main_Menu",
"target": "Bookings_Menu",
"type": "redirect",
"condition": null
}
]
}
```
**Quality checks:**
- Every `targetBotDialog` in edges must resolve to an existing dialog node.
- Keep `Call` and `Redirect` distinct (do not merge semantics).
- Preserve multiple outgoing edges from the same step when configured.
### 2) Intent Layer
- Intent name/developer name
- Intent description
- Linked dialogs
- Intent examples/utterances (if available)
**Intent summarization workflow:**
1. For each dialog node in the dialog graph, read its `mlIntent` value (if present).
2. Treat that `mlIntent` as the lookup key for intent metadata in `MlDomain` with the same name.
3. From the matched intent metadata, extract:
- `developerName`
- `label` / `description` (if present)
- `mlIntentUtterances` (training utterances)
4. Generate a concise intent summary (2-3 sentences) per unique intent:
- sentence 1: user goal the intent represents
- sentence 2: typical phrasing style inferred from `mlIntentUtterances`
- sentence 3 (optional): routing nuance or disambiguation hint if overlapping with other intents
5. If an `mlIntent` is referenced by a dialog but no matching `MlDomain` intent is found:
- flag the intent as unresolved
- add it to `open_questions`
- still generate a provisional summary from dialog label/description with `confidence: low`
### 3) Variable and Entity Layer
**Input files:**
- `bots/<BotName>/<BotName>.bot-meta.xml` (context variables, slot/entity metadata)
- `bots/<BotName>/<version>.botVersion-meta.xml` (conversation variable usage through steps)
**Variable extraction and typing rules:**
1. Extract context variables from `bot-meta.xml` (`<contextVariables>` entries).
2. Mark every context variable as:
- `variable_type: linked`
- `data_type`: map from bot metadata `dataType`
- `source`: derive from context mappings (`SObjectType` + `fieldName`) when present
3. Extract conversation variables directly from `botVersion-meta.xml` `<conversationVariables>` entries (authoritative source for declared conversation variables).
4. Mark every conversation variable as:
- `variable_type: mutable`
- `data_type`: read directly from the variable's declared data type in `<conversationVariables>`
**Required output shape (variables):**
```json
{
"variables": [
{
"name": "ContactId",
"data_type": "Id",
"variable_type": "linked",
"source": "MessagingEndUser.ContactId"
},
{
"name": "Complaint_Id",
"data_type": "Text",
"variable_type": "mutable"
}
]
}
```
### 4) Action/Invocation Layer
- Action name and invocation type (`apex`, `flow`, etc.)
- Inputs, outputs, and variable mappings
- Also extract knowledge-backed action signals from `botVersion-meta.xml`:
1. If `knowledgeActionEnabled` is `true`:
- add an action entry with `action_type: "knowledge"`
- include `knowledgeActionEnabled: true`
2. If `knowledgeFallbackEnabled` is `true`:
- add an action entry with `action_type: "knowledge"`
- include `knowledgeFallbackEnabled: true`
- When both fields are `true`, capture both flags (either on one combined knowledge action record or two explicit knowledge action records), but ensure both booleans are present in extracted output.
**Offline mode signature generation (required):**
When input mode is offline (`.bot-meta.xml` + `.botVersion-meta.xml` provided, no org fetch):
1. Generate action signatures from bot metadata mappings only (do not block on missing Apex/Flow source code).
2. For each invocation mapping:
- extract action parameter names from invocation input/output mapping keys
- resolve mapped bot variable names from mapping values
- infer parameter types from mapped variable declarations in `<conversationVariables>` / `<contextVariables>` when available
3. If type cannot be inferred, use a conservative placeholder type (`Text` or `Object`) and flag in notes/open questions.
4. Keep unresolved/partial signatures as non-blocking and continue extraction.
**Signature construction rules:**
1. Do not copy bot variable names as action parameter names unless metadata explicitly uses the same name.
2. Preserve both layers in output:
- contract layer: `input_name` / `output_name`, `type`
- mapping layer: `mapped_variable`, `variable_type` (`mutable` or `linked`)
3. For each signature entry, capture direction explicitly:
- `direction: input` for values read by the action
- `direction: output` for values written by the action
4. If one action is invoked multiple times with different mappings, keep one action signature and record per-call mapping context separately (for example `call_context`).
### 5) Dialog Clusters and Categorization
After extracting actions and dialog/action mappings, categorize bot functionality into dialog clusters.
1. Classify actions into groups using these priority criteria (highest priority first):
- actions working on the same underlying entity SHOULD be grouped together
- actions writing/updating the same variable SHOULD be grouped together
- actions reading the same input variable CAN be grouped together
- actions invoked by dialogs in the same dialog group CAN be grouped together
- actions with similar intent CAN be grouped together
2. Keep group size between:
- minimum: 1 action
- maximum: 4 actions
If a group exceeds 4 actions, split it while preserving higher-priority criteria.
3. An action may belong to multiple groups when criteria requires an overlap.
4. Assign dialogs to groups based on associated actions:
- for each grouped action, trace back dialogs that invoke it
- include those dialogs in the corresponding dialog cluster
- maintain an `action_dialog_mapping` for each group (`action -> [dialogs]`)
5. Generate a short functional description (2-3 sentences) per group using grouped actions and associated dialogs.
## Extraction Output Shape
Build an intermediate extraction summary used by mapping:
```json
{
"run_identity": {},
"dialog_graph": {
"nodes": [],
"edges": []
},
"intent_catalog": {},
"variables": {},
"action_inventory": {},
"dialog_clusters": {},
"unmapped_items": {}
}
```
## Persist Extraction Output
Write the extraction summary to a JSON file before starting mapping.
- Output filename: `extraction-summary.json`
- Output location: same working/output directory used for the current bot/version handoff artifacts
- The file content must preserve the extraction output shape defined above
- If extraction is rerun, overwrite this file with the latest extraction snapshot
`action_inventory` should include any extracted knowledge action entries with explicit `knowledgeActionEnabled` and/or `knowledgeFallbackEnabled` boolean flags when present in bot version metadata.
## Extraction Principles
- Favor explicit configured behavior over assumptions.
- Preserve branch conditions where available.

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# Generate Agent Spec
## What This Skill Is For
This skill implements **only Phase 1 of migration**:
- **In scope**: Einstein Bot -> normalized migration model -> Agent Spec handoff package
- **Out of scope**: `.agent` generation, validation, publish, activate, or deployment
The generated handoff is explicitly designed so `/agentforce-generate` can consume it as the starting spec input for Agent Script authoring.
## How to Use This Skill
Treat this file as the execution router. Always read the referenced files before executing each step.
Follow this fixed sequence:
1. Intake and normalize source bot artifacts
2. Build migration mapping model (dialogs/intents/entities/actions/transitions)
3. Generate Agent Spec handoff artifacts for `/agentforce-generate`
4. Resolve open questions with the user one-by-one (or auto-apply recommended defaults when `--interactive=false`) and persist decisions
5. Generate handoff invocation prompt for `/agentforce-generate` when ambiguity is cleared
## Rules That Always Apply
1. **Do not generate `.agent` in this skill.** Stop at Agent Spec + handoff artifacts.
2. **No implementation invention.** If action target details are unknown, use `NEEDS_STUB`.
3. **Preserve behavioral intent, not XML shape.** Convert deterministic bot flow into subagent-oriented behavioral design.
4. **Track uncertainty explicitly.** Every ambiguous mapping must be captured in `open_questions`.
5. **Mandatory resolution loop.** After artifact generation, process open questions and persist every resolved decision. In interactive mode, resolve them one-by-one with the user; when `--interactive=false`, auto-apply the recommended default for each open question without prompting and record the decision.
6. **Prompt handoff after clarity.** Once all open questions are resolved without ambiguity, generate a complete invocation prompt package for `/agentforce-generate` (do not invoke the skill from this skill).
7. **Use deterministic guardrails for risky flows.** Identity checks, escalation, sensitive operations, and regulated advice must be explicit in the spec.
8. **Input gate is a hard block.** Do not read any workspace files, bot metadata, Apex classes, SFDX project contents, or existing spec files until input mode is explicitly selected and all required inputs for that mode are confirmed. Speculative reading of artifacts found in the workspace is prohibited.
## Task Domains
### Build Agent Spec from Einstein Bot
Use this when user provides Einstein Bot artifacts and asks to migrate/upgrade into Agentforce.
#### Required Steps
0. **Collect mode and required inputs (HARD GATE)** — Parse inputs using this contract:
- `--mode <online|offline>` (optional; default to `online` when omitted)
- If `mode=online`, required inputs:
- `--org-alias <org-alias>`
- `--bot <bot-name>`
- `--bot-version <bot-version>`
- If `mode=offline`, required input:
- `--offline-dir <offline-dir>` (directory containing/associated with bot metadata inputs)
- `--interactive <true|false>` (optional; default `true`). When `false`, run autonomously: do not prompt at any decision point, apply the recommended default for every open question/ambiguity, and record each auto-applied decision.
If required mode-specific inputs are missing, stop and ask in interactive mode; in non-interactive mode halt with an explicit error (do not prompt). Do not read files/metadata/workspace contents until mode and required inputs are confirmed.
Note: if `--mode` is omitted, treat mode as `online` immediately (do not ask user to choose mode in that case).
1. **Ingest source artifacts** — Read [Input Contract](input-contract.md) and normalize user-provided bot inputs into one canonical migration model.
- For `mode=online`, run required SF CLI bot/version/dependency retrieval using [SF CLI Bot Reference](sf-cli-bot-reference.md). Use ONLY the query patterns documented there — do NOT invent or modify field names.
- For `mode=offline`, skip org retrieval and process **all relevant local metadata** from `--offline-dir`:
- bot and botVersion XML metadata (required)
- Flow metadata under `flows/` (when present)
- Apex classes under `classes/` (when present)
- any other local files referenced by bot artifacts that are needed for extraction/mapping fidelity
- In offline mode, do not limit ingestion to only two XML files if additional referenced artifacts are available locally.
2. **Extract migration structure** — Read [Extraction Blueprint](extraction-blueprint.md) and derive:
- bot capabilities
- dialog graph
- intent map
- variable/entity usage
- invocation/action inventory
- fallback/escalation behavior
3. **Map Einstein Bot -> Agent Spec components** — Read [Mapping Rules](mapping-rules.md) and produce topic/subagent, action, routing, and state mappings.
4. **Generate handoff artifacts** — Read [Handoff Output Format](handoff-output-format.md) and write:
- `<run_project_dir>/<AgentName>-AgentSpec.md`
- `<run_project_dir>/<AgentName>-einstein-bot-handoff.json`
- `<run_project_dir>/<AgentName>-open-questions.md`
Use the same run-specific SFDX project directory created in the SF CLI setup step; do not write handoff artifacts to repository root.
The Agent Spec markdown MUST use the same section names/order as
`skills/agentforce-generate/assets/agent-spec-template.md`, then append the
`## Migration Notes (Einstein Bot -> Agentforce)` appendix defined in [Handoff Output Format](handoff-output-format.md).
5. **Validate handoff quality** — Read [Quality Checklist](quality-checklist.md) and verify all required sections and mapping completeness before presenting output.
6. **Resolve open questions loop (required)** — After generating artifacts, resolve all entries in `<run_project_dir>/<AgentName>-open-questions.md`. In interactive mode, guide the user through them one-by-one; when `--interactive=false`, auto-apply the recommended default for each entry without prompting. For each resolved item, immediately update:
- `<run_project_dir>/<AgentName>-AgentSpec.md`
- `<run_project_dir>/extraction-summary.json`
and remove/mark-resolved the corresponding open question.
7. **Generate `/agentforce-generate` invocation package (no direct invoke here)** — When all open questions are resolved without ambiguity, generate and persist:
- `<run_project_dir>/agentforce-generate-invocation-prompt.md` (the exact prompt to pass to `/agentforce-generate`)
- `<run_project_dir>/agentforce-generate-output-contract.md` (expected outputs that orchestrator must capture)
The prompt must include:
- `current_working_directory` (run folder path) for all reads/writes
- `<run_project_dir>/<AgentName>-AgentSpec.md` as source-of-truth spec
- `<run_project_dir>/extraction-summary.json` as supporting context
- `<run_project_dir>/<AgentName>-einstein-bot-handoff.json` and `<run_project_dir>/<AgentName>-open-questions.md`
- `input_mode` (`online` or `offline`) explicit context
For `input_mode=offline`, include these strict instructions in the prompt:
- syntax/structural validation is still mandatory
- skip only org-dependent CLI operations
- use local artifacts only
- keep unresolved implementations as structurally complete `NEEDS_STUB` action definitions
- do not deploy/publish/activate
Do not invoke `/agentforce-generate` from this skill.
#### Reference Files
1. [Input Contract](input-contract.md) — accepted source types and normalization schema
2. [Extraction Blueprint](extraction-blueprint.md) — what to extract from Einstein Bot metadata and why
3. [Mapping Rules](mapping-rules.md) — canonical mapping from bot constructs to Agent Spec constructs
4. [Handoff Output Format](handoff-output-format.md) — required output files and exact structure
5. [Quality Checklist](quality-checklist.md) — validation criteria before handoff to `/agentforce-generate`
6. [SF CLI Bot Reference](sf-cli-bot-reference.md) — required `sf` command sequence to validate bot/version and retrieve dependencies
## Deliverables
At completion, always return:
1. Agent Spec handoff file path
2. Handoff JSON path
3. Open questions path
4. `/agentforce-generate` invocation package status:
- `generated` with prompt/output-contract paths when all open questions are resolved
- `blocked` when unresolved ambiguity remains (include unresolved question IDs)
5. Generated `/agentforce-generate` invocation prompt path (when status is `generated`)
6. Generated `/agentforce-generate` output contract path (when status is `generated`)
7. Short migration-risk summary (top unresolved items)
## Important Constraints
- Do not invoke deployment/publish/activate flows in this skill.
- Do not claim parity with Einstein Bot unless all dialogs/intents/actions are mapped or explicitly deferred.
- Do not collapse critical decision branches into vague LLM-only behavior; represent gates and transitions explicitly in the Agent Spec.

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# Handoff Output Format
## Required Files
1. `<AgentName>-AgentSpec.md`
2. `<AgentName>-einstein-bot-handoff.json`
3. `<AgentName>-open-questions.md`
The extraction step also persists `extraction-summary.json` in the same directory (see [Extraction Blueprint](extraction-blueprint.md)); it is carried forward as supporting context in the handoff.
Write all required files in the run-specific SFDX project directory for the selected input mode:
- Mode A: org-backed run project directory created during SF CLI setup
- Mode B: offline run project directory containing/associated with provided XML inputs
Do not write handoff artifacts in the repository root.
## 1) Agent Spec Markdown
Create `<run_project_dir>/<AgentName>-AgentSpec.md` by copying:
`skills/agentforce-generate/assets/agent-spec-template.md`
The handoff Agent Spec MUST:
1. retain the same section names and ordering as the template
2. fill every section with migration-specific content derived from extraction outputs
Required section order:
1. `## Purpose & Scope`
2. `## Behavioral Intent`
3. `## Subagent Posture`
4. `## Subagent Map`
5. `## Variables`
6. `## Actions`
7. `## Action Invocation Strategy`
8. `## Deterministic Controls (When Needed)`
9. `## Architecture Pattern`
10. `## Agent Configuration`
### Section-by-section generation guidance (from `extraction-summary.json`)
#### `## Purpose & Scope`
1. Derive a meaningful purpose statement from bot description/identity and extracted intent summaries.
2. Describe the agent's business scope using the intents the bot actually handles.
3. Restrict scope to capabilities backed by configured actions:
- do not claim unsupported capabilities
- call out out-of-scope requests when no action support exists
#### `## Behavioral Intent`
1. Start traversal from `Welcome` (or extracted entry dialog when `Welcome` is absent).
2. Build each workflow using:
- `dialog_functionality_summary`
- ordered `step_functionality`
3. Handle navigations by following target dialogs recursively, while preserving navigation semantics:
- **`Call` navigation**: transfer control to the target dialog, then return control back to the source dialog after target execution completes. Continue source-dialog remaining steps after return.
- **`Redirect` navigation**: transfer control permanently to the target dialog and halt source-dialog execution immediately (no return to source flow).
4. While reconstructing flows, track `Call` vs `Redirect` semantics internally so downstream agent design preserves return/non-return behavior.
5. For `Call` flows, capture both:
- the delegated target workflow behavior, and
- the resumed source workflow behavior after return.
6. For `Redirect` flows, do not append post-redirect source steps to the same path unless there is an explicit later re-entry edge.
7. Reconstruct meaningful user conversation flows across traversed dialogs.
8. Identify hard checkpoints by capturing strict ordering constraints, mandatory preconditions, and enforced branches/escalations.
9. Final behavioral intent must include:
- ordered events for one or more workflows
- action invocation scope and sequencing
- variable usage scope (reads/writes and gating variables)
- escalation/routing behavior
- normalized transition behavior (return-after-delegation vs one-way transfer) expressed in agent-native terms only
- other critical bot-specific constraints that affect conversation behavior
10. Do NOT emit raw bot navigation constructs (`Call`, `Redirect`) in the final Agent Spec text. Convert them into agent-native behavioral descriptions only.
#### `## Subagent Posture`
1. Derive baseline subagents from dialog clusters (`1 cluster -> 1 subagent`).
2. Ensure each subagent has coherent responsibility boundaries based on associated dialog behavior and actions.
3. Add additional subagents when dialogs are not assigned to any cluster but represent distinct bot functionality.
4. Ensure all dialog functionality is covered by at least one subagent.
5. Record any uncertain assignments in open questions instead of forcing low-confidence grouping.
### Bot-specific artifact translation rules (required)
When generating the Agent Spec, do not retain raw bot-only entities. Translate them into agent-native behavior.
1. Do not carry forward bot-only references directly, including:
- intent names derived from dialog naming
- intent utterance lists as bot-training artifacts
- dialog identifiers/names
- menu redirection constructs
2. Replace each with equivalent capability-level descriptions:
- user goal summaries
- behavioral routing intent
- reasoning instructions for when/how to route or invoke actions
3. Menu redirections must be translated by:
- capturing the user intent behind each menu option
- converting each option into an equivalent reasoning-based LLM instruction
- preserving functional outcomes without reproducing rigid bot menu mechanics
4. Evaluate every bot return message/response shown to users:
- if a message contains no actionable information and is only small talk, ignore it
- otherwise, preserve equivalent user-facing messaging in the relevant subagent behavior
- do not miss messages containing information about next steps, required actions, documentation, policy, or handoff guidance
5. For each subagent, evaluate whether menu translation is necessary at all:
- prefer direct intent/reasoning behavior when menus are unnecessary
- retain a lightweight guided-choice pattern only when it materially improves clarity or control
6. If menu translation approach is ambiguous, ask the user and record the decision in open questions before finalizing. When `--interactive=false`, do not ask — apply the recommended translation, record it in open questions as an auto-applied decision, and continue.
Then add this migration-specific appendix section at the end:
11. `## Migration Notes (Einstein Bot -> Agentforce)`
- Source bot identity and version
- Mapping confidence summary
- Unmapped constructs
- Open decisions requiring user approval
### Action Invocation Optimization Rules
Use this step to optimize conversation efficiency by reducing unnecessary action invocations while preserving behavior and data contracts.
#### Allowed optimization operations
1. **Add action** — only when required to preserve an existing conversational outcome after removing/replacing bot-only behavior.
2. **Update action** — only for invocation optimization (for example, replacing multi-hop equivalent invocations with one semantically equivalent action).
3. **Delete action** — only when action is bot-only or redundant in the agent architecture.
#### Hard constraints
1. Do not merge or modify unrelated actions just to reduce invocation count.
2. Do not change action inputs/outputs in a way that causes data loss.
3. Preserve all variable assignments needed by downstream steps/subagents.
4. Preserve required action side effects that are part of business behavior.
#### Bot-only action handling
If an action is applicable only to Einstein Bot runtime (for example, internal bot-state bookkeeping actions):
1. Mark the action as `candidate_for_removal`.
2. Show the user why it is bot-only and why it is not needed in Agentforce.
3. Do not remove it automatically.
4. Remove only after explicit user confirmation. When `--interactive=false`, do not remove it — keep the action in place as the safe recommended default and record it as a deferred `candidate_for_removal` decision in open questions.
#### User review gate (required)
When `--interactive=false`, skip the interactive review: apply only non-destructive recommended optimizations (adds/updates), never auto-delete actions, record every applied and deferred change in open questions, then treat those recommended changes as final without prompting.
Before finalizing optimized actions, present a complete change summary to the user:
1. Added actions
2. Updated actions
3. Candidate removals
4. For each affected action, include:
- action description/purpose
- full input contract
- full output contract
- variable assignments (reads/writes)
- rationale for optimization
Apply changes only after user approval.
#### Persistence requirement
After user confirms, update the Agent Spec file to reflect all finalized action changes (adds/updates/deletes), including:
- action descriptions
- input/output contracts
- variable read/write assignments
- action invocation strategy updates required by the optimization
Do not treat non-confirmed changes as final.
## 2) Open Questions Markdown
Include:
- Blocking decisions (must resolve before `/agentforce-generate` handoff)
- Non-blocking clarifications (resolve when they materially affect generated spec/actions)
- Recommended defaults for each question
Write this file as:
- `<run_project_dir>/<AgentName>-open-questions.md`
## 3) Einstein Bot Handoff JSON
Create `<run_project_dir>/<AgentName>-einstein-bot-handoff.json` as a machine-readable companion to the Agent Spec markdown, derived from `extraction-summary.json` and the mapping produced per [Mapping Rules](mapping-rules.md).
The handoff JSON MUST:
1. Capture the structured mapping used to build the spec:
- subagent/topic mapping
- action inventory with input/output contracts and `EXISTS`/`NEEDS_STUB`/`NEEDS_CREATION`/`CANDIDATE_FOR_REMOVAL` status
- variable mappings (`mutable`/`linked`)
- routing/transition mapping
- unmapped items
2. Stay aligned with the finalized Agent Spec markdown — after the open-questions loop completes, regenerate it so it reflects the resolved spec before handoff (no contradictory mappings).
## Open Question Resolution Loop (Required)
After generating initial artifacts, resolve open questions one-by-one with the user. When `--interactive=false`, do not prompt — auto-apply the recommended default recorded for each question and mark it resolved.
For each resolved question:
1. Update `<run_project_dir>/<AgentName>-AgentSpec.md` with the resolved decision.
2. Update `<run_project_dir>/extraction-summary.json` with the same resolved finding and any downstream mapping updates.
3. Mark the question as resolved (or remove it) in `<run_project_dir>/<AgentName>-open-questions.md`.
Do not leave ambiguous or contradictory outcomes in any artifact.

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# Input Contract
## Mode Selection
Input mode is selected from `--mode <online|offline>`:
1. **Online (Mode A: org-backed retrieval)** — Use org alias + bot identity, then fetch metadata/dependencies via SF CLI.
2. **Offline (Mode B: local metadata input)** — Use provided local metadata/artifacts directly without org fetch.
If `--mode` is omitted, default to **online**.
Only ask the user to clarify mode when provided inputs are insufficient or contradictory for the inferred/default mode. When `--interactive=false`, do not ask — proceed with the inferred/default mode and record the assumption; halt only if the inputs cannot support any mode.
## Supported Input Modes
### Mode A: Org-backed retrieval
Required inputs:
1. `--org-alias <org-alias>` — Salesforce org alias used as source context (for discovery, validation, and traceability).
2. `--bot <bot-name>` — Einstein Bot developer name/identifier to migrate.
3. `--bot-version <bot-version>` — specific version to migrate (for example: `v3`).
### Mode B: Offline metadata input (new)
Required inputs:
1. `--offline-dir <offline-dir>` — directory containing/associated with local bot metadata inputs.
Within `--offline-dir`, `.bot-meta.xml` and `.botVersion-meta.xml` inputs are treated as authoritative bot metadata sources for extraction/mapping.
## Offline Directory Processing Scope (Required)
When `--mode offline` is selected, process **all relevant local artifacts** in `--offline-dir` (recursively), not just bot XML:
1. Bot metadata:
- `*.bot-meta.xml`
- `*.botVersion-meta.xml`
2. Flow artifacts:
- files under `flows/` (for example `*.flow-meta.xml`)
3. Apex artifacts:
- files under `classes/` (for example `*.cls`, `*.cls-meta.xml`)
4. Misc referenced artifacts:
- any other files referenced by bot/flow/action mappings that improve extraction/mapping fidelity
Processing rules:
1. If `flows/` exists, parse flow signatures and mappings to improve action inventory contracts.
2. If `classes/` exists, parse invocable Apex signatures (`@InvocableMethod`, `@InvocableVariable`) to improve action I/O contracts.
3. If both bot mapping and local implementation artifacts exist, prefer concrete local implementation signatures over inferred placeholders.
4. If referenced artifacts are missing locally, continue with inferred signatures and mark unresolved details in `open_questions`.
5. Never require org retrieval in offline mode.
If required inputs for the selected mode are missing, stop and ask for them before processing artifacts.
## Identity Resolution Rules
- For Mode A, use `org-alias + bot + bot-version` as the run identity key.
- For Mode B, use `bot + bot-version` derived from provided XML metadata (or confirmed from user when not derivable).
- Do not merge artifacts from different versions in the same run.
- If source files contain a mismatched bot identity, pause and ask the user which identity is authoritative. When `--interactive=false`, do not pause — treat the identity declared in the authoritative bot metadata as the recommended default and record the assumption in `open_questions`.
## Missing/Partial Input Handling
- If action signatures are missing: keep action in inventory with `target: NEEDS_STUB`.
- If intent training data is missing: infer intent purpose from dialog labels/descriptions and mark confidence.
- If transitions are unclear: preserve as unresolved branch in `open_questions`.
## Post-Input Finalization Workflow (Required)
### Mode A: Org-backed retrieval
After `--org-alias + --bot + --bot-version` are finalized, execute the SF CLI sequence in:
- [SF CLI Bot Reference](sf-cli-bot-reference.md)
This is the canonical command list for:
1. Enforcing SF CLI and org access prerequisites
2. Validating bot and bot version
3. Retrieving bot metadata
4. Retrieving required Apex/Flow/ML domain dependencies
Any unresolved dependency must be recorded in `open_questions` and mapped as `NEEDS_STUB` where applicable.
### Mode B: Offline metadata input
When both XML files are provided (`.bot-meta.xml` + `.botVersion-meta.xml`):
1. Create a run folder in repo root named `<bot-name>-<bot-version>-agent`.
2. Copy the provided bot metadata files into that run folder:
- `<BotName>.bot-meta.xml`
- `<version>.botVersion-meta.xml`
3. Use that run folder as the working directory for this offline run.
4. Skip all SF CLI org validation/retrieval commands.
5. Do not fetch bot/dependency metadata from org.
6. Continue directly with extraction and mapping using all available local artifacts in `--offline-dir` as source inputs.
7. If `flows/` and/or `classes/` are present, include them in extraction before finalizing action contracts.
8. If referenced dependencies (Apex/Flow/MLDomain/etc.) are not available locally, record them as unresolved in `open_questions` and map as `NEEDS_STUB` where applicable.
9. If action signatures (Apex/Flow/etc.) cannot be fully resolved in offline mode, continue execution with best-effort signature expansion and mark unresolved fields.
All generated outputs for that run (for example `extraction-summary.json`, Agent Spec handoff, and open questions) must be written inside the same run-specific SFDX project directory for the selected mode.

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# Mapping Rules
## Objective
Convert extracted Einstein Bot behavior into a high-quality Agent Spec that `/agentforce-generate` can execute.
## Canonical Mappings
- **Dialog clusters** -> **Subagents/Topics**
- **Intent catalog** -> **Router instructions + transition actions**
- **Entity/slot collection** -> **Variables + eligibility/guard conditions**
- **Action inventory** -> **Action inventory in spec** (`NEEDS_STUB` when implementation unknown)
- **Fallback dialogs** -> **Boundary handling and recovery behavior**
- **Transfer/system handoff** -> **Built-in `@utils.escalate`** (escalation policy; never a new/standalone action)
## Escalation Mapping Rule
Escalation/transfer behavior (Einstein Bot `SystemMessage` `Transfer`, or any "hand off to a live agent/human" handoff) MUST be mapped implicitly to the built-in `@utils.escalate` utility. Do NOT:
- create a new action for it in the action inventory (no `Transfer_To_Agent`-style action, no `NEEDS_STUB`/`NEEDS_CREATION` entry for the transfer),
- model it as a flow/apex/standard-invocable action, or
- represent it as generic "hand off to a human" prose without the explicit `@utils.escalate` control.
Instead:
- Express the escalation as an explicit `@utils.escalate` invocation in the relevant subagent's instructions (typically a terminal step of an escalation subagent).
- Exclude the transfer from the action inventory entirely (it is not an authored action).
## Dialog Functionality Extraction Rules
Capture the functional behavior of each bot dialog before action optimization.
### Processing steps
1. Process each bot dialog independently.
2. Parse the dialog's bot steps strictly in configured order.
3. For each bot step, generate one or more meaningful functional sentences that describe what the bot does at that step.
4. Build an ordered list per dialog (`step_functionality`) that preserves original step sequence.
### What each step description must capture
For each step, include applicable details:
- step intent/purpose (message, collect, invoke, transition, system behavior)
- conditions/guards (for example variable comparisons and branching criteria)
- action invocations (action name and type, when invoked)
- variable updates (set/unset/collect, including affected variable names)
- transition behavior (target dialog and transition type when present)
### Exhaustive bot-step handling
When generating `step_functionality`, handle all supported Einstein Bot step families using the rules below.
1. **Message**
- Describe user-facing message intent and any branch context.
2. **VariableOperation**
- **Set**: capture source -> target variable assignment.
- **Unset**: capture variable clear/reset behavior.
- **Collect**: capture which variable is collected, requiredness, and option source (static/dynamic).
- **SetConversationLanguage**: capture locale/language state update.
- **CollectAttachment**: capture file-collection requirement and resulting variable update.
3. **Invocation**
- Capture invocation target, invocation type (`apex`, `flow`, `standardInvocableAction`, `externalService`, `quickAction`, `api`), input mappings, output mappings, and resulting variable writes.
4. **Navigation**
- Capture transition type (`Redirect` / `Call`), target dialog, and trigger condition.
5. **Wait**
- Capture as intent-routing pause point where control waits for user input and may route to intent-enabled dialogs.
6. **Group**
- Process nested steps recursively in order, preserving parent conditions and emitting child step sentences in sequence.
7. **SystemMessage**
- **Transfer**: capture escalation behavior and resolved target type/value, and map it implicitly to the built-in `@utils.escalate` (see Escalation Mapping Rule) — do not emit it as a new action.
- **EndChat**: capture terminal behavior and conversation close.
8. **RecordLookup**
- Capture queried object/entity, filter criteria, and output variable/list assignment.
9. **RichMessage**
- Capture rich interaction type (for example forms/payments/selectors/links) and expected follow-up behavior.
10. **GoalStep**
- Mark as bot-specific/non-agentic telemetry unless it drives business behavior; include only if behaviorally relevant.
### Step rendering rules
1. Preserve original step order exactly.
2. Emit one or more concise functional sentences per step.
3. Include conditional prefix when step is gated (for example `If <condition> ...`).
4. Preserve variable names and action names verbatim in step descriptions.
5. Do not skip nested steps inside `Group`.
### Output requirement
For every dialog, produce:
1. `dialog_functionality_summary` (short high-level summary)
2. `step_functionality` (ordered list of functional sentences derived step-by-step)
This output is the baseline for downstream subagent grouping and mapping decisions.
## Risk and Safety Rules
- Explicitly capture:
- identity verification points
- sensitive action boundaries
- escalation to human support
- refusal boundaries for unsupported asks
## Persistence Requirement
At the end of mapping, update `extraction-summary.json` with bot dialog functionality details for every dialog, including `dialog_functionality_summary` and ordered `step_functionality`.
When updating `extraction-summary.json` during mapping:
1. Preserve the canonical schema defined in [Extraction Blueprint](extraction-blueprint.md) (do not add/remove/rename top-level keys).
2. Update existing sections in place (`dialog_graph`, `intent_catalog`, `variables`, `action_inventory`, `dialog_clusters`, `unmapped_items`) instead of reshaping them.
3. Keep enum/status normalization stable (`redirect/call/intent_redirect`; `EXISTS/NEEDS_STUB/NEEDS_CREATION/CANDIDATE_FOR_REMOVAL`).

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# Planner Workflow Reference
Use this reference during orchestrator Step 3 when processing multiple bots in a single invocation.
## When To Apply
- Apply only when there are more than 1 ready-for-authoring Agent Specs.
- If there is 1 or fewer specs, skip planner workflow and keep specs unchanged.
## Inputs
Required inputs to this workflow:
1. `spec_paths`: all ready-for-authoring Agent Spec paths
2. `working_dir`: orchestrator working directory where planner output must be written
3. associated artifacts for each spec when present:
- handoff JSON
- open questions
## Required Workflow
1. Read all specs and associated artifacts.
2. Build a final candidate set of specs that will each map to one actual downstream agent.
3. Identify existing subagent grouping/context in each spec.
4. Attempt regrouping based on:
- intent
- underlying object/entity
- broad category
5. Allowed structural operations across specs:
- merge
- split
- move
- delete
6. Apply operations only when they improve:
- modularity
- context-awareness
- interactive user experience
7. Never perform changes for superficial consistency only.
8. Preserve full functional coverage:
- no input functionality may be lost
- if any functionality loss risk is detected, abandon changes and mark unchanged
## Required Output File
Write:
- `<working_dir>/bot-upgrade-planner-output.json`
Schema:
```json
{
"specs_changed": true,
"updated_specs": [
{
"original_spec_path": "/path/original/spec-a.md",
"updated_spec_path": "/path/updated/spec-a.md",
"run_project_dir": "/path/updated/run-project-dir",
"handoff_json_path": "/path/updated/spec-a-einstein-bot-handoff.json",
"open_questions_path": "/path/updated/spec-a-open-questions.md"
}
]
}
```
Rules:
1. `specs_changed` is boolean.
2. If `specs_changed=false`, then `updated_specs=[]`.
3. If `specs_changed=true`, `updated_specs` must include entries for all changed specs.
4. Every changed entry must include:
- `original_spec_path`
- `updated_spec_path`
- `run_project_dir`
- `handoff_json_path`
- `open_questions_path`
5. If any functionality-loss risk exists, force:
- `specs_changed=false`
- `updated_specs=[]`

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# Post-Conversion Enhancements Reference
Use this reference during orchestrator Step 5 after `/agentforce-generate` completes.
## Scope
Apply per generated Agent Script artifact (`.agent`) independently.
## Inputs
Required:
1. `agentscript_file`: path to one generated `.agent` file
2. `mode` (`online|offline`): the effective orchestrator run mode
Conditionally required:
3. `org_alias`: target org alias used to redeploy in Step 9. Required when `mode=online`; omit when `mode=offline`.
## Required Workflow
1. Read the full `.agent` file.
2. Enforce `start_agent` router behavior:
- ensure the subagent marked `start_agent` contains explicit instructions that
- it is only a router and should route immediately to the correct downstream agent
- it never responds directly to the user
- if this instruction is missing, add it
3. Improve transition quality with meaningful `available when` conditions:
- add or refine conditions between subagents wherever possible
- conditions should be meaningful and correct for transition intent
- conditions should reduce routing noise and improve next-step navigation in the final agent
4. Validate action data flow integrity:
- ensure action inputs/outputs are correctly mapped through conversation variables or LLM inputs
- where needed, persist required LLM-derived values via `setVariables`
- ensure downstream actions can consume required values deterministically
5. Enforce numeric action I/O typing:
- when an action input/output is numeric and flows between actions (e.g. rewards points
feeding a merchandise action), use the publish-safe form: an object field with
`complex_data_type_name: lightning__numberType`, not a bare `number`, so numeric typing
survives publish across all orgs.
6. Validate escalation mapping:
- ensure any escalation/transfer behavior (Einstein Bot `SystemMessage` `Transfer`, or any "hand off to a live agent/human") is implemented via the built-in `@utils.escalate` utility.
- confirm escalation is NOT modeled as a standalone/new action: there must be no `Transfer_To_Agent`-style action and no action-inventory entry (including `NEEDS_STUB`/`NEEDS_CREATION`) representing the transfer.
- if the escalation is present in bot and missing in spec, or was authored as an action instead of `@utils.escalate`, fix it: remove the erroneous action and invoke `@utils.escalate` in the appropriate escalation subagent (keeping any resolved transfer target as a variable/context, not an action signature).
7. Preserve intended functionality and behavioral coverage.
8. Write the optimized/enhanced content back to the same file path (in-place update).
9. Validate the resulting file:
- remains readable and structurally coherent
- is a valid Agent Script
10. If enhancements modified the Agent Script:
- when `mode=online`, deploy/publish the updated Agent Script to the org again using the provided `org_alias`
- do not activate as part of this step
- when `mode=offline`, skip deploy and keep the updated local file only
## Output
- Enhanced Agent Script at the same input file location.
## Capture Requirements
For each processed file, capture:
1. `agentscript_file`
2. status (`success` or `partial`)
3. short enhancement summary
4. `agentscript_modified` (`true|false`)
5. redeploy status (online mode only): `deployed`, `skipped`, or `failed`

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# Quality Checklist
Run this checklist before handing off to `/agentforce-generate`.
## Completeness
- Input mode is explicitly recorded for the run (Mode A org-backed or Mode B offline).
- Agent Spec uses the exact section names/order from `assets/agent-spec-template.md` in `agentforce-generate`.
- Every major bot capability is represented in the Agent Spec.
- Every critical dialog/intent/action is either mapped or listed in `unmapped_items`.
- Fallback and escalation behavior is explicit.
## Fidelity
- Action purpose and I/O are preserved from source metadata where available.
- For Mode B (offline), action signatures are inferred from bot metadata mappings and unresolved signature details are tracked in `open_questions` (non-blocking).
- Dialog-to-subagent and intent-to-subagent mappings are consistent.
- High-risk flows contain clear deterministic guidance.
## Handoff Readiness
- Agent Spec markdown is coherent and structured for implementation.
- Handoff JSON is machine-readable and aligned with markdown.
- Open questions are specific, non-duplicative, and decision-ready.
- Open questions are resolved — one-by-one with the user in interactive mode, or auto-applied from recommended defaults when `--interactive=false` — and each resolution is reflected in both Agent Spec and `extraction-summary.json`.
- Migration appendix is present and includes confidence, gaps, and approval gates.
## Failure Conditions (must fix before handoff)
- Missing action inventory for flows that clearly invoke actions
- Claimed parity while unresolved items are not documented
- Ambiguous routing with no fallback
- Unresolved or ambiguous open questions remain before automatic handoff to `/agentforce-generate`

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# SF CLI Bot Reference
Essential SF CLI command sequence for Mode A (org-backed retrieval) after inputs are finalized (`--org-alias`, `--bot`, `--bot-version`).
Do not use this reference in Mode B (offline metadata input). In offline mode, skip SF CLI retrieval and continue with extraction/mapping from local XML metadata files.
## 1) Prerequisite checks
```bash
sf --version
sf org display --json --target-org <org-alias>
```
If no orgs are available (no authenticated orgs are found), branch on the effective `--interactive` value:
- **`--interactive=true`**: ask the customer to log in to an org using:
```bash
sf org login web --instance-url <LOGIN_URL> --alias <ALIAS>
```
When asking, inform the customer about the default values so they can accept them or override:
- `--instance-url` defaults to `https://login.salesforce.com` when omitted. Tell the customer to use the default for production and Developer Edition orgs, `https://test.salesforce.com` for sandboxes.
- **`--interactive=false`**: do NOT prompt. Halt with an explicit error: `No authenticated org found for the provided --org-alias; run sf org login web and retry.`
## 2) Validate bot and version
`BotVersion.VersionNumber` is a numeric field, but `<bot-version>` is supplied in the `v1`/`v2`/`v3` format. Derive `<version-number>` by stripping the leading `v` from `<bot-version>` (e.g. `v1` -> `1`, `v12` -> `12`) and use that numeric value in the SOQL filter. Keep the original `<bot-version>` (`vN`) form for the metadata retrieval in section 3.
Listing bots:
```bash
sf data query --json --target-org <org-alias> \
--query "SELECT BotDefinition.MasterLabel FROM BotDefinition WHERE Type = 'Bot'"
```
Listing bot versions:
```bash
sf data query --json --target-org <org-alias> \
--query "SELECT Id, VersionNumber, Status FROM BotVersion WHERE BotDefinition.Type = 'Bot'"
```
## 3) Retrieve bot metadata
Before retrieval, ensure an SF project directory exists:
1. If no project exists for this migration run (`sfdx-project.json` doesn't exist), create one:
`sf project generate --name <bot-name>-<bot-version>-agent --template "empty" --output-dir "."`
2. Change into that project directory.
3. Run all remaining sf cli commands from that same project directory.
```bash
sf project retrieve start --target-org <org-alias> \
--metadata "Bot:<bot-name>" "BotVersion:<bot-name>.<bot-version>"
```
## 4) Retrieve related ML domains (only if referenced)
After bot metadata retrieval, discover referenced ML domains from the retrieved bot XML metadata using the same pattern as the migration script (`relatedMlIntent` entries in `<Domain.Intent>` format), then retrieve each domain.
Bot XML exists at: `force-app/main/default/bots/<bot-name>/<bot-name>.bot-meta.xml` (relative to the generated SFDX project directory from section 3).
Use this sequence:
1. Read the bot metadata XML file.
2. Find all `relatedMlIntent` values.
3. For each value, split on `.` and keep only the domain name prefix.
4. De-duplicate the discovered domain names.
5. For each discovered domain, run:
`sf project retrieve start --target-org <org-alias> --metadata "MlDomain:<domain_name>"`
If no `relatedMlIntent` entries are found, skip MLDomain retrieval.
## 5) Retrieve invocation dependencies (Apex/Flow)
The pipeline extracts invocation names from bot metadata, then retrieves only those exact classes/flows.
### Apex classes
```bash
sf project retrieve start --target-org <org-alias> --manifest <apex-package.xml>
```
`<apex-package.xml>` should contain only required classes:
```xml
<?xml version="1.0" encoding="UTF-8"?>
<Package xmlns="http://soap.sforce.com/2006/04/metadata">
<types>
<members>ClassA</members>
<members>ClassB</members>
<name>ApexClass</name>
</types>
<version>67.0</version>
</Package>
```
### Flows
```bash
sf project retrieve start --target-org <org-alias> --manifest <flow-package.xml>
```
`<flow-package.xml>` should contain only required flows:
```xml
<?xml version="1.0" encoding="UTF-8"?>
<Package xmlns="http://soap.sforce.com/2006/04/metadata">
<types>
<members>FlowA</members>
<members>FlowB</members>
<name>Flow</name>
</types>
<version>67.0</version>
</Package>
```

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@ -24,9 +24,9 @@ Methods:
mkdir -p <project-root>/force-app/main/default/classes
# Copy from the skill's apex directory
cp ../apex/AgentforceOptimizeService.cls \
cp ../assets/apex/AgentforceOptimizeService.cls \
<project-root>/force-app/main/default/classes/
cp ../apex/AgentforceOptimizeService.cls-meta.xml \
cp ../assets/apex/AgentforceOptimizeService.cls-meta.xml \
<project-root>/force-app/main/default/classes/
```

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@ -1,159 +0,0 @@
---
name: analyzing-test-failures
description: "Parses a DevOps Center test-failure or Code Analyzer violation payload and explains it in plain language — failure category, offending file/class/method/line, rule violated, and fix direction — then gives prioritized test-improvement suggestions (distinguishing test-code from production-code fixes). Pure reasoning: no system calls or code authoring. TRIGGER when: a test run failed and the user wants root cause; a quality gate failure needs explaining; Code Analyzer violations need translating to plain language; the user shares a failure payload and asks how to address it; tests keep failing and the user wants suggestions; or the user wants to close coverage gaps, strengthen assertions, or fix flaky/weak tests. DO NOT TRIGGER when: the user wants fix code written (use platform-apex-generate) or new test classes authored (use platform-apex-test-generate)."
metadata:
version: "1.0"
minApiVersion: "67.0"
---
# analyzing-test-failures
**Type:** Pure reasoning — no system calls, no code authoring.
**What it does:** Parses a test failure or Code Analyzer violation payload and produces a plain-language explanation, then follows up with concrete, prioritized improvement suggestions per failed test — including whether each fix belongs in the test or in production code. Never exposes raw JSON, stack traces, or API error bodies to the user.
---
## Prerequisites
If you need to fetch the failure payload yourself rather than receiving it, load `checking-devops-prerequisites` first, then use `polling-test-results` to obtain the execution result. If the payload is already in context, no prerequisites are needed — this is pure reasoning.
---
## Inputs
- JSON failure payload provided by the `polling-test-results` skill, or pasted directly into context from a test run or Code Analyzer execution. Specifically required per failed test:
- Test method name
- Failure message (the assertion error or exception text)
- Failure category (assertion failure, unhandled exception, timeout, compile error)
---
## Empty-org / no-data case
If the payload contains no failures or violations, report that clearly (e.g. "No failures found in the provided execution results.") and stop. Do NOT fabricate failures, violations, or improvement suggestions when none are present.
---
## Reasoning steps
1. Determine the failure category:
| Category | Description |
|---|---|
| **Assertion failure** | A test assertion failed (expected vs actual mismatch) |
| **Exception** | An unhandled exception was thrown |
| **Code Analyzer violation** | A static analysis rule was violated (e.g. `ApexCRUDViolation`, `ApexSharingViolations`) |
| **Timeout** | Test exceeded execution time limit |
| **Compile error** | Class failed to compile |
2. For each failure, extract and translate to plain language:
- Offending file and class name
- Method name
- Line number
- What rule or assertion was violated, in plain language
- Suggested fix direction (without writing code)
3. Group failures by category if more than one.
---
## Output format
```text
Test failure summary:
<N> failure(s) found:
1. [<Category>] `<ClassName>.cls``<methodName>()` at line <N>
What happened: <plain-language description>
Rule violated: <ruleName or assertion description>
Fix direction: <plain-language suggestion>
2. [<Category>] `<ClassName2>.cls``<methodName2>()` at line <N>
...
```
---
## Code Analyzer violations
For violations, always include:
- The rule name translated to plain English (e.g. "ApexCRUDViolation" → "A SOQL query was made without checking object-level permissions first")
- The exact line number
- The fix direction (e.g. "Add a `Schema.sObjectType.Account.isAccessible()` check before the query")
---
## Plain-language rule
Never paste raw stack traces, JSON payloads, or internal Salesforce error codes into the output. Always translate to file name, method, line, and plain description.
---
## Suggesting improvements
Invoke this section **after test execution completes with failures**, not on static source code. The failure message is the primary signal — it describes what the test expected vs. what actually happened, which directly informs what the test needs to handle better.
### 1 — Read each failure message
For each failed test in the execution result, extract:
- Test method name
- Failure message (the assertion error or exception message)
- Failure category (assertion failure, unhandled exception, timeout, compile error)
### 2 — Infer what the test is not handling
Reason over the failure message to identify the root cause pattern:
| Failure pattern | Improvement suggestion |
|---|---|
| `NullPointerException` | The test is not handling null input — add a null check or a test setup that ensures the data exists |
| `Assertion failed: expected X but was Y` | The expected value in the assertion is wrong or the test data setup does not produce the right state |
| `List has no rows for assignment` | The test is querying for data that doesn't exist — test setup is incomplete |
| `System.LimitException: Too many SOQL queries` | The test is hitting governor limits — the code under test or test setup is making too many queries |
| `Insufficient access rights on cross-reference id` | The test user lacks the required permissions — the test needs to run as a user with appropriate profile/permission set |
| `DML currently not allowed` | The test is performing DML inside a method called from a context that doesn't allow it |
| Code Analyzer violation message | The production code violates a specific rule — the test exposed it but the fix is in the production code, not the test |
### 3 — Produce actionable suggestions
For each failure, describe in plain language:
- What the failure reveals about what the test is not handling
- What specifically should be added or changed to make the test robust
- Whether the fix is in the **test** (assertion, setup, permissions) or in the **production code** (the test is correct but the code under test is broken)
Do not rewrite the test. Only describe what needs to change and why.
### Output format for improvements
```text
Test improvement suggestions based on execution results:
`<testMethodName>()` — [Assertion Failure / Exception / etc.]
Failure: "<failure message>"
What this reveals: <plain-language explanation>
Suggestion: <specific, actionable recommendation>
Fix location: Test | Production code
`<testMethodName2>()` — [NullPointerException]
Failure: "Attempt to de-reference a null object"
What this reveals: The test is calling the method without setting up the required input data
Suggestion: Add test data setup for <object/field> before calling the method
Fix location: Test
Overall: <N> improvement(s) across <M> failed test(s).
```
### Test fix vs. production-code fix
Suggestions flagged as **Fix location: Production code** indicate a code defect exposed by the test — the test logic itself is sound. These should not block suite promotion on the grounds of test quality; they should be tracked separately as production defects.
Suggestions flagged as **Fix location: Test** indicate the test needs to be hardened — missing setup, wrong assertions, inadequate coverage of edge cases (null inputs, bulk record volumes, mixed permission contexts, governor-limit boundaries).
---
## Related skills
- **`polling-test-results`** — obtains the failure payload that feeds into this skill.
- **`creating-fix-work-item`** — use to create a tracked fix item from the analysis output or to track an approved improvement suggestion as a work item once the user decides to act on it.

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@ -189,7 +189,7 @@ When no custom objects needed:
- `referenceTo`: (Lookup only) The target object API name
- Include only objects and fields that are relevant to the flow being generated
## 🎯 Mandatory Enhancement Rules
## Mandatory Enhancement Rules
- **userPrompt**: REQUIRED.
- If the user requests a **single flow**: use the user's prompt as-is.
- If the user requests **multiple flows**: you MUST **split** the request and write a **separate, focused `userPrompt` for each individual flow**. Each `userPrompt` must describe only ONE flow. Do NOT pass the entire multi-flow request as a single `userPrompt`. See the multiple flows section below for examples.

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@ -1,120 +0,0 @@
---
name: configuring-quality-gate
description: "Creates a DevOps Center quality gate with associated rules (PASS_PERCENTAGE, SEVERITY, ESSENTIAL) and links it to a pipeline-stage suite assignment, after showing a mandatory impact preview and obtaining explicit confirmation. Use this skill when a user wants to set or configure a quality gate, change a coverage threshold, or establish testing benchmarks on a pipeline stage. TRIGGER when: the user wants to set/configure a quality gate, change a coverage threshold, or set testing benchmarks on a stage. DO NOT TRIGGER when: only re-running an existing gate (use running-devops-test-suite in retrigger mode)."
metadata:
version: "1.0"
minApiVersion: "67.0"
---
## Prerequisites
Load `checking-devops-prerequisites` first — Prerequisites 14 AND Prerequisite 5 (stage). You need `doce-org-alias`, `pipelineId`, `stageId`, and the target `DevopsTestSuiteStage` record Id.
## Inputs required
| Input | Source |
|---|---|
| `name` | User-provided name for the quality gate |
| `rules` | List of `{type, threshold?}` — see rule types below |
| `doce-org-alias` | Established in Prereq 1 |
| `testSuiteStageId` | Target `DevopsTestSuiteStage` record Id (Prereq 5) |
## Rule types
| Type | Description | Threshold |
|---|---|---|
| `PASS_PERCENTAGE` | Minimum % of tests that must pass | Required (0100) |
| `SEVERITY` | Maximum allowed severity level of failures | Required (numeric, e.g. 15) |
| `ESSENTIAL` | All essential tests must pass | Not required |
---
## MANDATORY IMPACT PREVIEW
**Before executing any commands**, show the user this preview and wait for explicit confirmation:
> "Here's what this quality gate will enforce on `<stageName>`:
> - Rule: `<type>``<description>`
> - Threshold: `<value>`
> - Affected pipelines: `<list>`
>
> Confirm to apply?"
**Never proceed past this point without showing the impact preview first and receiving explicit confirmation.**
---
## Confirmation gate
Only proceed with the steps below after the user has explicitly confirmed (e.g., "yes", "confirm", "go ahead"). If the user declines or does not confirm, stop and do not execute any commands.
---
## Step 1 — Create the gate record
```bash
sf api request rest \
"/services/data/v67.0/connect/devopstesting/qualityGate" \
--method POST \
--body '{"name": "<gateName>"}' \
--target-org <doce-org-alias>
```
Extract `qualityGateId` from the response.
## Step 2 — Create each rule as a sObject record
Rules are not accepted in the Connect API payload — create them as `DevopsQualityGateRule` records directly. Only create rules the user has requested. `ESSENTIAL` has no threshold.
```bash
sf data create record \
--sobject DevopsQualityGateRule \
--values "DevopsQualityGateId='<qualityGateId>' Rule='PASS_PERCENTAGE' Threshold=<value>" \
--target-org <doce-org-alias> --json
sf data create record \
--sobject DevopsQualityGateRule \
--values "DevopsQualityGateId='<qualityGateId>' Rule='ESSENTIAL'" \
--target-org <doce-org-alias> --json
sf data create record \
--sobject DevopsQualityGateRule \
--values "DevopsQualityGateId='<qualityGateId>' Rule='SEVERITY' Threshold=<value>" \
--target-org <doce-org-alias> --json
```
## Step 3 — Link the gate to the suite stage
Update the `DevopsTestSuiteStage` record to link the new gate:
```bash
sf data update record \
--sobject DevopsTestSuiteStage \
--record-id <testSuiteStageId> \
--values "IsQualityGateEnabled=true DevopsQualityGateId='<qualityGateId>'" \
--target-org <doce-org-alias> --json
```
---
## On success
Confirm to the user:
> "Quality gate `<gateName>` created with `<N>` rule(s) and assigned to `<suiteName>` on `<stageName>`."
## Error handling
Never expose raw API errors. Use the following responses:
| Status | Response |
|---|---|
| 400 | "The quality gate configuration is invalid. Check that all rule types and thresholds are correct." |
| 403 | "You don't have permission to configure quality gates on this org." |
| 500 | "A server error occurred. Try again in a few minutes." |
---
## Related skills
- To re-run a gate after meeting threshold, use `running-devops-test-suite` (retrigger mode).
- To assign or map suites to stages, use `managing-suite-assignments`.

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@ -1,113 +0,0 @@
---
name: configuring-test-provider
description: "Configures an available test provider (e.g. Apex Unit Tests, Code Analyzer, Flow Tests, Provar) on a DevOps Center pipeline via the Connect API, after explicit user confirmation, so the provider's test suites become available for assignment to pipeline stages. Takes a pipelineId and a testProviderId. Use this skill when a provider is available on the pipeline but not yet configured and the user wants to enable it. TRIGGER when: the user wants to configure, enable, set up, or add a test provider on a pipeline, or wants a not-yet-configured provider's suites to become available. DO NOT TRIGGER when: re-syncing an already-configured provider to pick up new suites (use syncing-test-providers), or assigning existing suites to a stage (use managing-suite-assignments)."
metadata:
version: "1.0"
minApiVersion: "67.0"
---
# Configuring a Test Provider
Configures an available test provider on a DevOps Center pipeline, making its test suites available for assignment to pipeline stages.
**Confirmation required:** Yes — explicit confirmation before the provider is configured.
## Prerequisites
Load `checking-devops-prerequisites` first — Prerequisites 14 (org login, Agentforce DX plugin, DevOps Center org auth, pipeline identified). Prerequisite 5 (stage) is **not** required: providers are configured at the pipeline level, not the stage level.
| Variable | Source |
|---|---|
| `doce-org-alias` | Established in Prerequisite 1 |
| `pipelineId` | Identified in Prerequisite 4 (pipeline selection) |
| `testProviderId` | Resolved by fetching the pipeline's test providers (below) |
---
## Step 1 — Fetch test providers to resolve the provider ID
Get all test providers for the pipeline so you can resolve the `testProviderId` and confirm which providers are still available to configure:
```bash
sf api request rest \
"/services/data/v67.0/connect/devopstesting/pipeline/<pipelineId>/testProviders?status=all" \
--target-org <doce-org-alias>
```
Each provider entry includes `testProviderId`, `testProviderName`, and a status (Configured vs. Available). Present a short summary grouped by status:
```text
Test providers for <pipelineName>:
✓ Configured:
- Code Analyzer (63 suites)
- Apex Unit Tests (5 suites)
Available (not yet configured):
- Flow Tests
```
- **Only an Available provider can be configured.** If the pipeline has no available providers, report that and stop — do NOT fabricate a provider or ID.
### If the named provider is already Configured
Do **not** present the confirmation gate and do **not** POST to the configure endpoint (Steps 23) — that would create a duplicate `DevopsPipelineTestProvider`. Instead:
1. State plainly that the provider is already configured, including its synced suite count and last-sync time if returned (e.g. *"Flow Tests is already configured on `<pipelineName>` with 3 suites synced (last sync 2026-06-23)."*).
2. Diagnose the user's actual goal and redirect **by name**:
- If the user says the provider's **suites don't appear when assigning tests to a stage**, this is a **stage-assignment gap, not a provider-configuration gap** — the suites already exist at the pipeline level; they just need to be linked to the stage. Redirect to **`managing-suite-assignments`**.
- If the user expects **newly created suites** that aren't yet synced, redirect to **`syncing-test-providers`** (re-sync via `POST /connect/devops/sync`) to pull them in.
3. Do not loop back to configuring — finish cleanly after the explanation and redirect.
## Step 2 — Confirmation gate
**Required — do not call the API before the user confirms.**
> "I'll configure `<testProviderName>` on the `<pipelineName>` pipeline. This will make its suites available for assignment to stages. Confirm?"
Do not proceed until the user gives an affirmative response.
## Step 3 — Configure the provider
On confirmation, call the configure endpoint with the provider ID:
```bash
sf api request rest \
"/services/data/v67.0/connect/devops/pipeline/<pipelineId>/testProvider" \
--method POST \
--body '{"testProviderId": "<testProviderId>"}' \
--target-org <doce-org-alias>
```
## On success
> "Provider `<testProviderName>` is now configured on the `<pipelineName>` pipeline. Its suites are available for assignment to stages."
Newly configured suites can then be assigned to stages with `managing-suite-assignments`.
---
## Critical gotcha
This `POST .../pipeline/<pipelineId>/testProvider` endpoint **creates a new provider configuration record** (`DevopsPipelineTestProvider`). Use it ONLY to configure a provider for the first time. To re-sync an already-configured provider for new suites, use `syncing-test-providers` (`POST /connect/devops/sync`) — calling this configure endpoint on an already-configured provider produces **duplicate** `DevopsPipelineTestProvider` records.
## Error Handling
Never expose raw API error messages, stack traces, or JSON payloads to the user. Map response status codes to plain-language messages:
| Status | User-facing message |
|---|---|
| 400 | "The request was invalid. Check that the provider ID and pipeline ID are correct." |
| 403 | "You don't have permission to configure test providers on this pipeline." |
| 404 | "The pipeline or test provider was not found." |
| 409 | "That provider appears to already be configured on this pipeline. To pick up new suites, re-sync it instead." |
| 500 | "A server error occurred. Try again in a few minutes." |
---
## Related skills
- **`checking-devops-prerequisites`** — loaded first to establish org and pipeline context.
- **`syncing-test-providers`** — once a provider is configured, use this to re-sync it later and pull in newly added suites.
- **`managing-suite-assignments`** — after configuring a provider, use this to assign or map its suites to a pipeline stage.
- **`recommending-devops-tests`** — to recommend which of the newly available suites to run.

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@ -1,5 +0,0 @@
# Credits & Acknowledgments
This skill is part of the `*-datacloud` family. Shared attribution, upstream source mapping, and maintenance notes live in:
- [../data360-orchestrate/CREDITS.md](../data360-orchestrate/CREDITS.md)
- [../data360-orchestrate/UPSTREAM.md](../data360-orchestrate/UPSTREAM.md)

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@ -36,4 +36,3 @@ sf data360 data-action-target list -o myorg 2>/dev/null
- [../data360-orchestrate/assets/definitions/data-action-target.template.json](../data360-orchestrate/assets/definitions/data-action-target.template.json)
- [../data360-orchestrate/assets/definitions/data-action.template.json](../data360-orchestrate/assets/definitions/data-action.template.json)
- [../data360-orchestrate/references/plugin-setup.md](../data360-orchestrate/references/plugin-setup.md)
- [CREDITS.md](CREDITS.md)

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@ -107,11 +107,9 @@ Next step: <destination validation or downstream testing>
## References
- [README.md](README.md)
- [../data360-orchestrate/assets/definitions/activation-target.template.json](../data360-orchestrate/assets/definitions/activation-target.template.json)
- [../data360-orchestrate/assets/definitions/activation.template.json](../data360-orchestrate/assets/definitions/activation.template.json)
- [../data360-orchestrate/assets/definitions/data-action-target.template.json](../data360-orchestrate/assets/definitions/data-action-target.template.json)
- [../data360-orchestrate/assets/definitions/data-action.template.json](../data360-orchestrate/assets/definitions/data-action.template.json)
- [../data360-orchestrate/UPSTREAM.md](../data360-orchestrate/UPSTREAM.md)
- [../data360-orchestrate/references/plugin-setup.md](../data360-orchestrate/references/plugin-setup.md)
- [../data360-orchestrate/references/feature-readiness.md](../data360-orchestrate/references/feature-readiness.md)

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@ -3,6 +3,19 @@ name: data360-code-extension-generate
description: "Develop and deploy Data Cloud Code Extensions using SF CLI plugin. Use this skill when creating custom Python transformations for Data Cloud, deploying code extensions, or testing data transformations. Supports init, run, scan, and deploy operations."
metadata:
version: "1.0"
relatedSkills:
- "data360-schema-get"
cliTools:
- tool: ["sf"]
semver: ">=2.0.0"
- tool: ["pip"]
semver: ">=21.0.0"
- tool: ["python3"]
semver: ">=3.11.0"
- tool: ["docker"]
semver: ">=20.0.0"
- tool: ["git"]
semver: ">=2.0.0"
---
# data360-code-extension-generate Skill
@ -30,7 +43,7 @@ Before executing any code extension commands, verify prerequisites:
```
If not installed:
```bash
sf plugins install @salesforce/plugin-data-codeextension
sf plugins install @salesforce/plugin-data-code-extension
```
2. **Python 3.11**
@ -254,7 +267,7 @@ sf data-code-extension script deploy --target-org <org_alias> --name <name> --pa
| Error | Solution |
|-------|----------|
| `command data-code-extension not found` | `sf plugins install @salesforce/plugin-data-codeextension` |
| `command data-code-extension not found` | `sf plugins install @salesforce/plugin-data-code-extension` |
| `datacustomcode CLI not found` | `pip install salesforce-data-customcode` |
| `Python version mismatch` | Use pyenv: `pyenv install 3.11.0 && pyenv local 3.11.0` |
| `Cannot connect to Docker daemon` | Start Docker Desktop |

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@ -1,5 +0,0 @@
# Credits & Acknowledgments
This skill is part of the `*-datacloud` family of skills covering the full Data Cloud workflow lifecycle. Shared upstream source mapping and maintenance notes live in:
- [../data360-orchestrate/CREDITS.md](../data360-orchestrate/CREDITS.md)
- [../data360-orchestrate/UPSTREAM.md](../data360-orchestrate/UPSTREAM.md)

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@ -55,5 +55,3 @@ sf data360 connection schema-upsert -o myorg --name <connector-id> -f examples/c
- [SKILL.md](SKILL.md)
- [../data360-orchestrate/references/plugin-setup.md](../data360-orchestrate/references/plugin-setup.md)
- [../data360-orchestrate/UPSTREAM.md](../data360-orchestrate/UPSTREAM.md)
- [CREDITS.md](CREDITS.md)

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@ -142,7 +142,6 @@ Next step: <prepare phase or connector follow-up>
## References
- [README.md](README.md)
- [examples/connections/heroku-postgres.json](examples/connections/heroku-postgres.json)
- [examples/connections/redshift.json](examples/connections/redshift.json)
- [examples/connections/sharepoint-unstructured.json](examples/connections/sharepoint-unstructured.json)
@ -151,4 +150,3 @@ Next step: <prepare phase or connector follow-up>
- [examples/connections/ingest-api-schema.json](examples/connections/ingest-api-schema.json)
- [../data360-orchestrate/references/plugin-setup.md](../data360-orchestrate/references/plugin-setup.md)
- [../data360-orchestrate/references/feature-readiness.md](../data360-orchestrate/references/feature-readiness.md)
- [../data360-orchestrate/UPSTREAM.md](../data360-orchestrate/UPSTREAM.md)

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@ -1,3 +0,0 @@
# Credits & Acknowledgments
This skill is part of the `*-datacloud` family of skills covering the Data Cloud lifecycle: ingestion, harmonization, segmentation, and retrieval.

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@ -107,7 +107,6 @@ Next step: <segment / retrieve / follow-up>
## References
- [README.md](README.md)
- [../data360-orchestrate/assets/definitions/dmo.template.json](../data360-orchestrate/assets/definitions/dmo.template.json)
- [../data360-orchestrate/assets/definitions/mapping.template.json](../data360-orchestrate/assets/definitions/mapping.template.json)
- [../data360-orchestrate/assets/definitions/relationship.template.json](../data360-orchestrate/assets/definitions/relationship.template.json)

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@ -1,15 +0,0 @@
# Credits & Acknowledgments
This skill family distills publicly shared Data Cloud implementation knowledge into sf-skills house style. Attribution is intentionally explicit because contributor credit is a core sf-skills principle.
---
This family intentionally:
- keeps sf-skills naming consistency (`*-datacloud`)
- keeps the external CLI plugin outside this repo
- favors deterministic helper scripts and reusable JSON templates
- rewrites examples into generic sf-skills-style guidance rather than copying workshop-specific payloads
See [UPSTREAM.md](UPSTREAM.md) for the maintenance contract.
---

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@ -47,7 +47,6 @@ See [references/plugin-setup.md](references/plugin-setup.md).
| [scripts/diagnose-org.mjs](scripts/diagnose-org.mjs) | Classify org readiness by phase before mutating Data Cloud assets |
| [references/feature-readiness.md](references/feature-readiness.md) | Map high-signal errors and feature gates to concrete next steps |
| [assets/definitions/](assets/definitions/) | Generic JSON templates for repeatable Data Cloud definition files |
| [UPSTREAM.md](UPSTREAM.md) | Upstream mapping for future distillation and maintenance |
## Generic templates
@ -119,9 +118,3 @@ sf data360 activation platforms -o myorg 2>/dev/null
- [SKILL.md](SKILL.md) - Orchestrator guidance
- [references/plugin-setup.md](references/plugin-setup.md) - Plugin install and verification
- [references/feature-readiness.md](references/feature-readiness.md) - Readiness classification and setup guidance
- [UPSTREAM.md](UPSTREAM.md) - Upstream tracking and distillation policy
- [CREDITS.md](CREDITS.md) - Contributor and source attribution
## Primary contributor
**Gnanasekaran Thoppae** — primary contributor for the data360-orchestrate family.

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@ -215,10 +215,8 @@ Next step: <next phase, setup guidance, or cross-skill handoff>
## Reference Map
### Start here
- [README.md](README.md)
- [references/plugin-setup.md](references/plugin-setup.md)
- [references/feature-readiness.md](references/feature-readiness.md)
- [UPSTREAM.md](UPSTREAM.md)
### Phase skills
- [data360-connect](../data360-connect/SKILL.md)

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@ -1,45 +0,0 @@
# Upstream Distillation Map for data360-orchestrate
This file exists to make downstream maintenance easy without sacrificing sf-skills consistency.
## Maintenance contract
When upstream changes, do **not** copy blindly.
Instead:
1. review new upstream commits
2. identify changed command behaviors, install patterns, or gotchas
3. update sf-skills prompts and templates in a distilled form
4. keep naming, attribution, and cross-skill boundaries consistent with sf-skills
5. update this file with the new reviewed commit SHAs
## High-priority upstream areas to re-check
- installation / linking workflow for the community plugin
- command counts and topic coverage
- API-version guidance
- known issues and bug-fix notes
- live-tested command set
- any new commands affecting Connect / Prepare / Harmonize / Segment / Act / Retrieve boundaries
- connector-specific payload examples worth distilling into generic repo-safe examples
- search-index / hybrid-search guidance and any command-surface changes around hybrid scoring or prefilter behavior
- Ingestion API schema-upload flow, send-data examples, and problem-record guidance
- unstructured-source setup differences between connection-level reruns, stream refreshes, and initial UI seeding
- UI-only gaps where upstream introduces browser automation; validate before importing
## Cross-skill boundary reminders
Keep Data Cloud product work in `*-datacloud`, but do not blur into:
- `agentforce-observe` for STDM/session tracing/parquet workflows
- `platform-soql-query` for CRM SOQL-only tasks
- `platform-data-manage` for CRM record seeding/cleanup
- `platform-*-generate` skills for CRM schema creation (custom objects, fields, validation rules, etc.)
## Local helper files in this family
- `references/plugin-setup.md`
- `scripts/bootstrap-plugin.sh`
- `scripts/verify-plugin.sh`
- `assets/definitions/`
These are sf-skills-owned conveniences and should evolve independently from upstream when that improves user experience.

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@ -1,7 +0,0 @@
# Credits & Acknowledgments
Primary contributor: **Gnanasekaran Thoppae**
This skill is part of the `*-datacloud` family. Shared attribution, upstream source mapping, and maintenance notes live in:
- [../data360-orchestrate/CREDITS.md](../data360-orchestrate/CREDITS.md)
- [../data360-orchestrate/UPSTREAM.md](../data360-orchestrate/UPSTREAM.md)

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@ -48,4 +48,3 @@ sf data360 connection run-existing -o myorg --name <connection-id> 2>/dev/null
- [SKILL.md](SKILL.md)
- [examples/ingestion-api/README.md](examples/ingestion-api/README.md)
- [../data360-orchestrate/assets/definitions/data-stream.template.json](../data360-orchestrate/assets/definitions/data-stream.template.json)
- [CREDITS.md](CREDITS.md)

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@ -183,7 +183,6 @@ Next step: <harmonize or retrieve>
## References
- [README.md](README.md)
- [examples/ingestion-api/README.md](examples/ingestion-api/README.md)
- [../data360-orchestrate/assets/definitions/data-stream.template.json](../data360-orchestrate/assets/definitions/data-stream.template.json)
- [../data360-orchestrate/references/plugin-setup.md](../data360-orchestrate/references/plugin-setup.md)

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@ -1,7 +0,0 @@
# Credits & Acknowledgments
Primary contributor: **Gnanasekaran Thoppae**
This skill is part of the `*-datacloud` family. Shared attribution, upstream source mapping, and maintenance notes live in:
- [../data360-orchestrate/CREDITS.md](../data360-orchestrate/CREDITS.md)
- [../data360-orchestrate/UPSTREAM.md](../data360-orchestrate/UPSTREAM.md)

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@ -41,4 +41,3 @@ sf data360 query hybrid -o myorg --index Knowledge_Index --query "reset password
- [SKILL.md](SKILL.md)
- [../data360-orchestrate/assets/definitions/search-index.template.json](../data360-orchestrate/assets/definitions/search-index.template.json)
- [CREDITS.md](CREDITS.md)

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@ -111,7 +111,6 @@ Next step: <segment / harmonize / follow-up>
## References
- [README.md](README.md)
- [examples/search-indexes/vector-knowledge.json](examples/search-indexes/vector-knowledge.json)
- [examples/search-indexes/hybrid-structured.json](examples/search-indexes/hybrid-structured.json)
- [../data360-orchestrate/assets/definitions/search-index.template.json](../data360-orchestrate/assets/definitions/search-index.template.json)

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@ -1,3 +0,0 @@
# Credits & Acknowledgments
This skill is part of the `*-datacloud` family of skills covering the Salesforce Data Cloud workflow phases. Shared definitions, templates, and readiness scripts for this family live in the `data360-orchestrate` skill directory.

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@ -33,4 +33,3 @@ sf data360 calculated-insight list -o myorg 2>/dev/null
- [SKILL.md](SKILL.md)
- [../data360-orchestrate/assets/definitions/calculated-insight.template.json](../data360-orchestrate/assets/definitions/calculated-insight.template.json)
- [../data360-orchestrate/assets/definitions/segment.template.json](../data360-orchestrate/assets/definitions/segment.template.json)
- [CREDITS.md](CREDITS.md)

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@ -107,8 +107,6 @@ Next step: <act / retrieve / follow-up>
## References
- [README.md](README.md)
- [../data360-orchestrate/assets/definitions/calculated-insight.template.json](../data360-orchestrate/assets/definitions/calculated-insight.template.json)
- [../data360-orchestrate/assets/definitions/segment.template.json](../data360-orchestrate/assets/definitions/segment.template.json)
- [../data360-orchestrate/references/feature-readiness.md](../data360-orchestrate/references/feature-readiness.md)
- [../data360-orchestrate/UPSTREAM.md](../data360-orchestrate/UPSTREAM.md)

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@ -85,7 +85,7 @@ If no LBC exists (or not using LWC), select an SLDS Blueprint. See [references/c
## Hook Naming Traps
SLDS hook families do NOT all follow the same naming pattern. Agents frequently invent hooks that don't exist by assuming `{prefix}-{number}` works universally. **Always verify a hook exists** via the bundled `search-hooks.cjs` script or `metadata/hooks-index.json` before using it.
SLDS hook families do NOT all follow the same naming pattern. Agents frequently invent hooks that don't exist by assuming `{prefix}-{number}` works universally. **Always verify a hook exists** via the bundled `search-hooks.cjs` script or `assets/hooks-index.json` before using it.
### Trap 1: Font size hooks are NOT numbered
@ -130,10 +130,10 @@ Run the appropriate search command **before** emitting any SLDS artifact:
| Artifact | Verification command | Source of truth |
|----------|---------------------|-----------------|
| Styling hook (`--slds-g-*`) | `node scripts/search-hooks.cjs --prefix "<hook-name>"` | `metadata/hooks-index.json` |
| Utility class (`slds-*`) | `node scripts/search-utilities.cjs --search "<class-name>"` | `metadata/utilities-index.json` |
| Blueprint / CSS class | `node scripts/search-blueprints.cjs --search "<pattern>"` then read the YAML | `metadata/blueprints/components/*.yaml` |
| Icon | `node scripts/search-icons.cjs --query "<description>"` | `metadata/icon-metadata.json` |
| Styling hook (`--slds-g-*`) | `node scripts/search-hooks.cjs --prefix "<hook-name>"` | `assets/hooks-index.json` |
| Utility class (`slds-*`) | `node scripts/search-utilities.cjs --search "<class-name>"` | `assets/utilities-index.json` |
| Blueprint / CSS class | `node scripts/search-blueprints.cjs --search "<pattern>"` then read the YAML | `assets/blueprints/components/*.yaml` |
| Icon | `node scripts/search-icons.cjs --query "<description>"` | `assets/icon-metadata.json` |
If the search returns no match: **do not use the artifact.** Find an alternative from the search results or build custom with verified hooks.
@ -187,10 +187,10 @@ This skill bundles comprehensive SLDS knowledge. Read files as needed -- don't r
| Folder | Content | Index |
|--------|---------|-------|
| `guidance/overviews/` | Foundational concepts (color, spacing, typography, etc.) | [guidance/README.md](guidance/README.md) |
| `guidance/styling-hooks/` | Hook categories with detailed usage | [guidance/README.md](guidance/README.md) |
| `guidance/utilities/` | 27 utility class categories | [guidance/README.md](guidance/README.md) |
| `guidance/slds-development-guide.md` | Full SLDS development guide | -- |
| `references/overviews/` | Foundational concepts (color, spacing, typography, etc.) | [references/README.md](references/README.md) |
| `references/styling-hooks/` | Hook categories with detailed usage | [references/README.md](references/README.md) |
| `references/utilities/` | 27 utility class categories | [references/README.md](references/README.md) |
| `references/slds-development-guide.md` | Full SLDS development guide | -- |
### Raw Metadata (structured data for lookup)
@ -198,10 +198,10 @@ This skill bundles comprehensive SLDS knowledge. Read files as needed -- don't r
| File | Content | Lines |
|------|---------|-------|
| `metadata/blueprints/components/*.yaml` | 85 blueprint specs (classes, variants, a11y, HTML) | ~50-200 each |
| `metadata/hooks-index.json` | 523 hooks with values and CSS properties | ~6,300 |
| `metadata/icon-metadata.json` | 1,732 icons with synonyms for search | ~38,500 |
| `metadata/utilities-index.json` | 1,147 utility classes with CSS rules | ~6,900 |
| `assets/blueprints/components/*.yaml` | 85 blueprint specs (classes, variants, a11y, HTML) | ~50-200 each |
| `assets/hooks-index.json` | 523 hooks with values and CSS properties | ~6,300 |
| `assets/icon-metadata.json` | 1,732 icons with synonyms for search | ~38,500 |
| `assets/utilities-index.json` | 1,147 utility classes with CSS rules | ~6,900 |
---
@ -219,7 +219,7 @@ Identify:
1. **If LWC**: Check the [Lightning Component Library](https://developer.salesforce.com/docs/component-library/overview/components) for an LBC
2. **Search blueprints**: `node scripts/search-blueprints.cjs --search "<pattern>"`
3. **Read the blueprint YAML**: `metadata/blueprints/components/<name>.yaml` for exact classes, modifiers, states, and accessibility requirements
3. **Read the blueprint YAML**: `assets/blueprints/components/<name>.yaml` for exact classes, modifiers, states, and accessibility requirements
4. **No match?** Build custom with hooks (see Phase 3)
Details: [references/component-selection.md](references/component-selection.md)
@ -249,7 +249,7 @@ npx @salesforce-ux/slds-linter@latest lint <component-path>
The linter catches hardcoded values, class overrides, and deprecated tokens. **Fix all violations before proceeding.** Do not rationalize violations as acceptable.
**Step 2: Verify no invented hooks.** Confirm every `--slds-g-*` hook in the output exists in `metadata/hooks-index.json`. Cross-reference against the T051 check in [checklists.md](checklists.md).
**Step 2: Verify no invented hooks.** Confirm every `--slds-g-*` hook in the output exists in `assets/hooks-index.json`. Cross-reference against the T051 check in [checklists.md](checklists.md).
**Step 3: Run through [checklists.md](checklists.md)** for the checks the linter cannot automate:
- All `var(--slds-g-*)` have fallback values (T002)

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