Analyzes PRD.md files for quality issues and injects inline [TODO] annotations.
npx skills add https://github.com/rashidee/co2-skills --skill util-usanalyzer
Please help me install this Agent Skill. Skill: util-usanalyzer Source: https://github.com/rashidee/co2-skills/tree/main/skills/util-usanalyzer Command: npx skills add https://github.com/rashidee/co2-skills --skill util-usanalyzer
PRD.md quality assurance is time-consuming and error-prone; this Skill analyzes PRD.md files for issues like incomplete sentences, missing or broken references, cross-module inconsistencies, contradictory requirements, and misaligned architectural guidance, and automatically injects actionable [TODO] annotations to guide remediation.
Run the util-usanalyzer on the target application (e.g., /util-usanalyzer mainapp) to scan PRD.md files and inject inline [TODO] annotations.
High-intent search queries and answers about installing and using this skill.
To audit PRD.md quality, you need to validate user stories, NFRs, and cross-module references against architecture principles. This process surfaces incomplete requirements and broken references, returning line-accurate inline [TODO] annotations to guide remediation.
The best way to inject actionable TODOs is to run an automated analysis that identifies incomplete user stories and missing acceptance criteria. It inserts line-accurate inline [TODO] annotations directly into the PRD.md file to guide editors.
Yes, you can check architecture principles and design-system rules in a multi-module PRD. The analysis validates alignment between user stories, NFRs, and constraints while scanning cross-module references to surface architectural gaps.
PRD analysis handles contradictory requirements by validating alignment between user stories, non-functional requirements, and constraints. It flags contradictions and cross-module inconsistencies, returning inline [TODO] annotations for precise remediation.
Limitations when scanning PRD.md files for broken references include dependencies on the file's structural clarity for accurate line-accurate annotations. Multi-module cross-reference checks require complete architecture principle documentation to effectively surface gaps without missing constraints.
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