kris/afv-library
1
0
Fork 0
mirror of https://github.com/forcedotcom/afv-library.git synced 2026-07-30 11:43:26 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

fix: update getting-datacloud-schema skill path references

Browse Source 
Replace relative ./scripts/ paths with <skill_dir>/scripts/ to correctly resolve script location regardless of working directory. Remove metadata version field from frontmatter.
This commit is contained in:
Chandresh Patel 2026-05-06 15:53:59 -07:00
parent 5d33d63d48
commit 0246f32a50
No known key found for this signature in database
1 changed files with 9 additions and 13 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

22
skills/getting-datacloud-schema/SKILL.md
View File

@ -1,8 +1,6 @@
---
name: getting-datacloud-schema
description: "Retrieve Data Lake Object (DLO) and Data Model Object (DMO) schema information from Salesforce Data Cloud using REST APIs. Use this skill when you need to inspect DLO or DMO field definitions, data types, or metadata. Takes org alias and optional DLO/DMO name as parameters."
metadata:
version: "1.0"
---
# getting-datacloud-schema Skill
@ -67,30 +65,28 @@ sf org login web --alias <org_alias>
### Step 3a: Execute DLO Schema Script
Use the Python script to retrieve DLO information:
The Python scripts are bundled with this skill. They live in the `scripts/` subdirectory of the same directory that contains this SKILL.md file. Use the absolute path to that directory — do NOT use `./scripts/` as that resolves relative to the current working directory, not the skill directory.
**To list all DLOs:**
```bash
python3 ./scripts/get_dlo_schema.py <org_alias>
python3 <skill_dir>/scripts/get_dlo_schema.py <org_alias>
```
**To get specific DLO schema:**
```bash
python3 ./scripts/get_dlo_schema.py <org_alias> <dlo_name>
python3 <skill_dir>/scripts/get_dlo_schema.py <org_alias> <dlo_name>
```
### Step 3b: Execute DMO Schema Script
Use the Python script to retrieve DMO information:
**To list all DMOs:**
```bash
python3 ./scripts/get_dmo_schema.py <org_alias>
python3 <skill_dir>/scripts/get_dmo_schema.py <org_alias>
```
**To get specific DMO schema:**
```bash
python3 ./scripts/get_dmo_schema.py <org_alias> <dmo_name>
python3 <skill_dir>/scripts/get_dmo_schema.py <org_alias> <dmo_name>
```
### Step 4: Present Results
@ -227,7 +223,7 @@ User: "Show me all DLOs in afvibe org"
Response:
1. Run sf org list to discover connected org alias
2. Authenticate to afvibe
3. Run: python3 ./scripts/get_dlo_schema.py afvibe
3. Run: python3 <skill_dir>/scripts/get_dlo_schema.py afvibe
4. Display formatted list of DLOs
```
@ -238,7 +234,7 @@ User: "Get the schema for Employee__dll in afvibe"
Response:
1. Run sf org list to discover connected org alias
2. Authenticate to afvibe
3. Run: python3 ./scripts/get_dlo_schema.py afvibe Employee__dll
3. Run: python3 <skill_dir>/scripts/get_dlo_schema.py afvibe Employee__dll
4. Display field schema with types and metadata
```
@ -261,7 +257,7 @@ User: "Show me all DMOs in afvibe org"
Response:
1. Run sf org list to discover connected org alias
2. Authenticate to afvibe
3. Run: python3 ./scripts/get_dmo_schema.py afvibe
3. Run: python3 <skill_dir>/scripts/get_dmo_schema.py afvibe
4. Display formatted list of DMOs
```
@ -272,7 +268,7 @@ User: "Get the schema for Individual__dlm in afvibe"
Response:
1. Run sf org list to discover connected org alias
2. Authenticate to afvibe
3. Run: python3 ./scripts/get_dmo_schema.py afvibe Individual__dlm
3. Run: python3 <skill_dir>/scripts/get_dmo_schema.py afvibe Individual__dlm
4. Display field schema with types and metadata
```