masterdata-generator

Master data CSV generation automates creating validated CSV files from requirements by inspecting schema, generating data, and performing validation checks. The Skill interprets requirements, applies schema constraints including correct datetime formats and unique IDs, and outputs complete CSVs with 3-line template headers and validation reports.

Yes, schema validation for master data CSVs is built into the generation workflow. The Skill performs validation checks via masterdata-validator, ensuring complete data coverage, correct __NULL__ usage, datetime and release_key formats, and alignment with CSV rules before outputting results.

Bulk generation of master data CSVs from a single requirement is the core workflow. The Skill inspects schema, duplicates templates, generates all required CSV data, applies validation constraints, and produces a REPORT.md summarizing completion status and any formatting issues across all outputs.

No, schema inspection is automated via masterdata-schema-inspector integration. The Skill retrieves schema structure automatically, then generates templates and CSVs without manual schema review, reducing setup time for requirement-based generation workflows.

Validation failures are caught and reported in the generated REPORT.md. The Skill applies masterdata-validator checks to identify issues like missing data, incorrect formats, or ID conflicts, and documents constraints violated so you can refine requirements and regenerate.