Audit technical specifications and produce a structured findings report.
npx skills add https://github.com/tomzx/agents --skill review-specifications
Please help me install this Agent Skill. Skill: review-specifications Source: https://github.com/tomzx/agents/tree/main/skills/review-specifications Command: npx skills add https://github.com/tomzx/agents --skill review-specifications
Audits a technical specification and reports findings across six categories: ambiguities, inconsistencies, incoherences, missing information, implementability, and reversibility.
Provide the target specification document and run the review to produce a findings report.
High-intent search queries and answers about installing and using this skill.
To audit technical specifications for ambiguities and missing information, provide the specification document to trigger a structured review that identifies unclear terms, inconsistent state transitions, and gaps in requirements or interfaces.
Reviewing an API contract for inconsistencies and implementability risks involves checking data models and progress flows for mismatches, then assessing practical constraints and dependencies to produce a prioritized findings report.
Checking a feature specification for reversibility evaluates the ability to rollback changes and data migrations, flagging potential issues where reversing a deployed feature or migrating data back is impractical.
Yes, you can use this to generate a prioritized list of questions for a formal SDLC requirements review by processing the specification document to output unresolved questions and a suggested plan for closure.
A technical specification audit detects incoherences by identifying conflicting architectural decisions and contradictory statements within the document, ensuring structural alignment across the described system behavior.
You do not need to provide requirements documents to get a findings report, as the specification document is sufficient, but supplying optional requirements enhances the audit by contextualizing the expected feature scope.
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