afv-library/skills/data-cloud-bdt-expert/tests/fixtures/minimal.json
Gaurav Bajpai 0f94d02786
refactor: rename skill to data-cloud-bdt-expert @W-22196528@
Rename skill directory and frontmatter name from
`explaining-batch-data-transform` to `data-cloud-bdt-expert`
per internal PR reviewer feedback. A noun-form name (identifies
the skill by what it's about) is clearer than a gerund-form name
(describes what it does) for user-facing plugin/skill identity.

- skills/explaining-batch-data-transform/ -> skills/data-cloud-bdt-expert/
- SKILL.md frontmatter `name:` updated
- tests docstring path updated

No behavior change. All 92 tests pass.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 11:41:17 +05:30

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JSON

{
"version": "66.0",
"nodes": {
"LOAD_DATASET0": {
"action": "load",
"sources": [],
"parameters": {
"dataset": {"name": "ssot__Account__dlm", "type": "dataModelObject"},
"fields": ["ssot__Id__c", "ssot__Name__c"],
"sampleDetails": {"type": "TopN", "sortBy": []}
}
},
"FORMULA0": {
"action": "formula",
"sources": ["LOAD_DATASET0"],
"parameters": {
"expressionType": "SQL",
"fields": [
{
"name": "AccountNameUpper__c",
"label": "Account Name Upper",
"formulaExpression": "upper(ssot__Name__c)",
"type": "TEXT",
"businessType": "Text",
"precision": 255,
"defaultValue": ""
}
]
}
},
"OUTPUT0": {
"action": "outputD360",
"sources": ["FORMULA0"],
"parameters": {
"name": "Account_Upper__dlm",
"type": "dataModelObject",
"writeMode": "OVERWRITE",
"fieldsMappings": [
{"sourceField": "ssot__Id__c", "targetField": "ssot__Id__c"},
{"sourceField": "AccountNameUpper__c", "targetField": "Name_Upper__c"}
]
}
}
},
"ui": {
"nodes": {
"LOAD_DATASET0": {"label": "Account", "type": "LOAD_DATASET", "top": 100, "left": 100},
"FORMULA0": {"label": "Uppercase Name", "type": "FORMULA", "top": 100, "left": 240},
"OUTPUT0": {"label": "Account Upper", "type": "OUTPUT", "top": 100, "left": 380}
},
"connectors": [
{"source": "LOAD_DATASET0", "target": "FORMULA0"},
{"source": "FORMULA0", "target": "OUTPUT0"}
],
"hiddenColumns": []
}
}