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Found 1,194 Skills
Perform a refactor pass focused on simplicity after recent changes. Use when the user asks for a refactor/cleanup pass, simplification, or dead-code removal and expects build/tests to verify behavior.
Use this skill when posting the final summary comment after all inline comments are posted. Apply as the LAST step of code review after all findings are classified and inline comments are complete. Detects context (GitHub sticky comment, new comment, or local file) and routes output accordingly.
Perform systematic self-review of code changes before commits using structured checklist. Validates architecture boundaries, code quality, test coverage, documentation, and project-specific anti-patterns. Use before committing, creating PRs, or when user says "review my changes", "self-review", "check my code". Adapts to Python, JavaScript, TypeScript, Go, Rust projects.
Enforces the discipline of thinking about tests, features, and maintainability BEFORE writing implementation code. Use when starting new classes/methods, refactoring existing code, or when asked to "think about tests first", "design for testability", "what tests do I need", "test-first approach", or "TDD thinking". Promotes simple, maintainable designs by considering testability upfront. Works with any codebase requiring test coverage and quality standards.
Detects orphaned code (files/functions that exist but are never imported or called in production), preventing "created but not integrated" failures. Use before marking features complete, before moving ADRs to completed, during code reviews, or as part of quality gates. Triggers on "detect orphaned code", "find dead code", "check for unused modules", "verify integration", or proactively before completion. Works with Python modules, functions, classes, and LangGraph nodes. Catches the ADR-013 failure pattern where code exists and tests pass but is never integrated.
Code quality gatekeeper and auditor. Enforces strict quality gates, resolves the AI verification gap, and evaluates codebases across 12 critical dimensions with evidence-based scoring. Use when auditing code quality, reviewing AI-generated code, scoring codebases against industry standards, or enforcing pre-commit quality gates. Use for quality audit, code review, codebase evaluation, security assessment, technical debt analysis.
Use this to verify whether the work meets requirements when completing tasks, implementing main features, or before merging.
Runs Sweepi and resolves lint violations using Sweepit rule docs. Trigger when asked to run Sweepi, when linting (or asked to lint), and before proposing commits.
Audit claude-skills repository documentation with systematic 9-phase review: standards compliance, official docs verification via Context7/WebFetch, code examples accuracy, cross-file consistency, and version drift detection. Auto-fixes unambiguous issues with severity classification. Use when: investigating skill issues, major package updates detected (e.g., v1.x → v2.x), skill not verified >90 days, before marketplace submission, or troubleshooting outdated API patterns, contradictory examples, broken links, version drift.
Refactor, simplify, or clean up code for improved maintainability without changing business logic
Audit React components for unnecessary useEffect patterns. Detects 9 anti-patterns from "You Might Not Need an Effect" and proposes fixes with severity levels.
Code comment guidelines. Remove redundant comments, add strategic ones explaining WHY not WHAT. Applied automatically when modifying code.