Total 54,890 skills, Code Quality has 2463 skills
Showing 12 of 2463 skills
Corrective cleanup of AI-generated code — removes LLM-specific patterns while preserving behavior. Use when the user says "clean up", "deslop", "slop", "clean AI code", or when you spot LLM-generated code smells after any generation session.
Use this skill when a user asks to review a pull request for bugs, wants AI code review focused on correctness issues, or runs /bug-review. Trigger on PR review, bug finding, code review, "review this PR", "check for bugs", "find issues in this PR". This is a multi-pass review workflow with 5 parallel passes, majority voting, independent Opus validation, and resolution rate tracking. Also trigger on /bug-review:resolve to classify whether findings were fixed at merge time, and /bug-review:report for resolution rate stats. Even if the user just says "review this" while on a PR branch, trigger this skill.
Reviewer-only pass for /plan --review and cleanup artifact review
Discover and understand project rules, coding standards, and architectural guidelines before starting a task. Use when you need to know the constraints, patterns, or compliance requirements for a feature, file, or technology.
Execution-aware preflight analysis (control-flow, timing/energy) on existing callees using compiled artifacts, to catch problems while the design is still cheap to change.
Stack-aware review for local diffs, pull requests, and repository-wide audits. Routes review across shared policy plus language packs for TypeScript frontend, TypeScript backend/Bun, Go, Rust, and Python. Use after implementation, before merge, or when auditing an existing codebase.
Validates and scores Claude Code skill packages for quality, completeness, and best practices compliance. Tests Python scripts, checks YAML frontmatter, and generates quality reports. Use when creating new skills, validating skill packages, or auditing skill quality.
Run the standard post-change validation flow after a fix, refactor, or new feature. Use when implementation work is done and you should validate the latest changes by invoking the repo's review skills, starting with review-changes and then repo-doc-maintainer, before giving the final close-out.
**Mandatory** before any commit or push. Run Definition-of-Done checks from change scope and report exact pass/fail per command.
Inspect or run the manual maintenance workflow. Uses explicitly configured repository checks, applies safe auto-fixes, and archives successful maintenance changes.
Use anime-style multi-role continuous conversational code review to output review opinions with natural technical anchors through strong character interaction
Post-implementation quality check via fresh-eyes review. Chain: Implement → Review (independent agent) → Resolve (if issues). Max 2 rounds. Auto-triggers for security-sensitive and data-mutation code. Not for code refactoring (use code-cleanup). Not for decision analysis (use agent-room). For post-deploy verification, see deploy-verify. For shipping and PRs, see ship.