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Found 759 Skills
Review changes for test gaps, simplification, naming consistency, reuse opportunities, and TODO quality
Generate manual test plans for PR changes with verified commands and pass/fail criteria
Build high-signal PR context for review with diff analysis, risk assessment, and discussion questions
Review git diffs, staged changes, and GitHub PRs. Change-focused analysis across seven pillars (Security, Performance, Architecture, Error Handling, Testing, Maintainability, Paranoia) with numeric scoring 1-10. Supports GitHub PR review, staged changes, and arbitrary diffs. Use when: reviewing a PR, reviewing staged changes, reviewing a diff, pre-commit review. Triggers: review PR, review my changes, review the diff, review staged, review-pr, check my changes.
Review an implemented user story or task (via GitHub Pull Request) for completeness, test coverage, and code quality. Use this when asked to QA, review a PR, verify implementation, or as a follow-up to the user-story-implementer skill.
Sub-agent powered code reviews spanning correctness, tests, consistency, and fit
Fix findings from the active review session — reads reviewer findings files, applies fixes by priority, and updates the resolution log. Use after pasting reviewer output into findings files.
When the user asks to fix, address, or work on PR review comments — fetch review comments from a GitHub pull request and apply fixes to the local codebase. Requires gh CLI.
Bootstrap a local AI review pipeline and generate a paste-ready review prompt for any provider (Codex, Gemini, GPT, Claude, etc.). Use after creating a handoff or when ready to get an AI code review.
Generate a handoff document after implementation work is complete — summarizes changes, risks, and review focus areas for the review pipeline. Use when done coding and ready to hand off for review.
Use this skill when the user asks to review a PR, do a code review, check a pull request, "review this PR", "review-pr", or "look at this pull request". Requires Gitee MCP Server to be configured.
Comprehensive security and privacy evaluation system for MCP (Model Context Protocol) servers. Use when users provide GitHub URLs to MCP servers and request security assessment, privacy evaluation, or ask "is this MCP safe to use." Evaluates security vulnerabilities, privacy risks, code quality, community feedback, and provides actionable recommendations with risk scoring.