Validate Use Cases CSV files for format compliance and JTBD quality.
npx skills add https://github.com/Wizarck/iguanatrader --skill qa-use-cases
Please help me install this Agent Skill. Skill: qa-use-cases Source: https://github.com/Wizarck/iguanatrader/tree/main/skills/qa-use-cases Command: npx skills add https://github.com/Wizarck/iguanatrader --skill qa-use-cases
Validates Use Cases CSV files for format compliance, JTBD quality, content completeness, and cross-document consistency across related context files (OFFERING_STRUCTURE.md, templates, and market data).
Analyze a newly prepared Use Cases CSV with this skill to receive a detailed validation report.
High-intent search queries and answers about installing and using this skill.
Validating a Use Cases CSV requires checking 17-column format compliance, JTBD quality, and cross-document consistency. This skill automatically derives offering context from related files like OFFERING_STRUCTURE.md and input templates to deliver a structured verdict with per-row findings.
Cross-document consistency validation checks Use Cases CSV rows against related context files like OFFERING_STRUCTURE.md, input templates, GAP IDs, segment targets, and market data. It ensures JTBD entries align with the broader offering context and flags mismatches for governance audits.
Yes, you can check Use Cases CSV data quality against OFFERING_STRUCTURE.md and market data. The validation process automatically reads these related context files to verify GAP IDs, segment targets, and overall cross-document consistency without requiring manual context setup.
Auditing JTBD data quality in a Use Cases CSV involves validating each row against JTBD guidelines and format rules. This skill generates a structured verdict with detailed per-row findings, making it suitable for governance reviews and data quality audits.
The best way to enforce a 17-column format in a Use Cases CSV is to use an automated validation tool that checks structural compliance alongside JTBD quality. This skill enforces the 17-column format while simultaneously validating content completeness and cross-document consistency.
No, you do not need to manually provide offering context to validate Use Cases CSV files. The validation process automatically derives context from related files such as OFFERING_STRUCTURE.md, input templates, GAP IDs, segment targets, and market data to execute comprehensive checks.
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