Coordinate parallel specialist sub-agents to review code and produce a gate-ready report.
npx skills add https://github.com/michael-menard/monorepo --skill review-michael-menard
Please help me install this Agent Skill. Skill: review Source: https://github.com/michael-menard/monorepo/tree/main/.claude/skills/review Command: npx skills add https://github.com/michael-menard/monorepo --skill review-michael-menard
This Skill automates the end-to-end code review process by coordinating parallel specialist sub-agents to assess requirements traceability, code quality, security, performance, accessibility, test coverage, and technical debt. It consolidates findings and provides a final gate decision.
Use the review skill to initiate a comprehensive review on a PR or story, and let it spawn specialists to produce a gate-ready report. The final output includes consolidated findings and a gate decision.
High-intent search queries and answers about installing and using this skill.
Automated code review deploys parallel specialist sub-agents to concurrently evaluate requirements traceability, code quality, security, performance, accessibility, test coverage, and technical debt. It aggregates these findings into a single consolidated report for your pull request.
Requirements traceability mapping links your acceptance criteria directly to their corresponding tests, highlighting any gaps in coverage. This ensures your code changes fully satisfy the specified story requirements before progressing.
Generating a gate decision involves running a comprehensive multi-dimensional review and aggregating the results into a formal /qa-gate-ready file. This gate file provides a clear pass or fail recommendation for your story or pull request.
Yes, comprehensive code review can target individual stories, pull requests, or specific directories of code. This enables targeted analysis across multiple quality dimensions for any scoped codebase changes.
Automated code review assesses both technical debt and accessibility alongside security, performance, and test coverage. Parallel specialists analyze each dimension concurrently to ensure a thorough quality evaluation.
Parallel agents improve code quality analysis by deploying dedicated specialists to evaluate distinct dimensions concurrently. This coordinated approach aggregates findings efficiently for a faster, comprehensive gate-ready report.
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ReinaMacCredyReview code changes against specifications, plans, and security guidelines.
