review-pr
Code Review
Structured pull request review. Focuses on issues introduced by this change, not pre-existing ones. Produces a prioritized report — nothing is posted to GitHub without your approval.
When to Use
- Reviewing a PR before merge
- Reviewing your own code before opening a PR
- Security or correctness audit of a specific diff
- Reviewing code after implementing a feature (incremental review)
What NOT to Do
- Do not flag pre-existing issues the author didn't touch
- Do not block on style/formatting — that's what linters are for
- Do not rewrite code to a personal preference
- Do not list speculative risks without evidence
- Do not post anything to GitHub without explicit user approval
More from supatest-ai/supa-skills
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Investigate, reproduce, and fix a bug using a structured workflow. Captures a complete bug report, reproduces the issue reliably, finds the true root cause, writes a failing test before fixing, verifies the fix, and optionally files a well-formed GitHub issue.
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Investigate a production incident or live bug. Follows mitigation-first protocol — stops the bleeding before investigating, then uses the observability funnel (metrics → traces → logs) to find root cause. Produces a structured findings report and optional postmortem.
1agent-readiness
Evaluate how ready a codebase is for autonomous AI agent work. Produces a scored report across 11 dimensions with a maturity level and prioritized action plan.
1work-summary
Generate a summary of work done based on git commit history across one or more repositories. Use for standups, timesheets, retrospectives, or any time you need a structured overview of what was accomplished in a time period.
1test-feature
Interactively test a completed feature using browser automation. Navigates the live app, exercises all key flows, captures a GIF video of the happy path, and produces a visual verification report. Use after implementing a new feature or making code changes that need testing verification.
1signoz-health-check
Check broad metrics and health status of SigNoz observability platform. Shows service health, error rates, latency, recent errors, and alerts. Use when you need to monitor system health or investigate issues.
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