GitHub
frontend-code-review
Trigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews.
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tools code quality AI Skills
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GitHub
python-verification
Replaces the task of serving as a quality gate to guarantee Python code quality through static analysis and testing. Typical use cases: (1) Confirming type safety (Mypy) and style checks (Ruff) during new featu...
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GitHub
code-testing-planning
Analyzes existing code and specs to identify missing test coverage and formulate a robust Testing Plan. Used for adding regression tests, increasing coverage, and verifying legacy code behavior.
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GitHub
tdd-python-refactoring
Replaces the refactoring work of improving quality and maintainability of passed Python code without changing behavior. Typical use cases: (1) Enhancing type safety by eliminating Any types and tightening type...
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GitHub
code-refactoring-planning
Analyzes code smells and architectural violations to formulate a concrete Refactoring Plan. Used for (1) identifying technical debt, (2) defining As-Is vs To-Be states, and (3) planning safe, atomic refactoring...
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GitHub
pr-review
Expert pull request reviewer. Use when asked to review a PR, examine code changes, validate modifications, or provide feedback on proposed changes. Applies best practices for code review including security, qua...
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GitHub
documentation-sync
Maintain documentation freshness and code-doc alignment. Use when detecting stale documentation, suggesting doc updates during implementation, validating doc accuracy, or generating missing documentation. Handl...
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GitHub
code-review
Automatic code review for pull requests and commits
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GitHub
auto-fix-build
Automatically detect and fix build errors
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GitHub
security-checker
Performs security audit on code changes checking for OWASP Top 10 vulnerabilities
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GitHub
lint-typecheck
ESLint 및 TypeScript 정적 분석 스킬
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GitHub
check-envs
Check and validate all required environment variables in .env file. Use when verifying environment setup or troubleshooting configuration issues.
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GitHub
check-envs
Check and validate all required environment variables in .env file. Use when verifying environment setup or troubleshooting configuration issues.
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GitHub
refactor
This skill should be used when the user asks to "refactor", "extract function", "rename", "improve code quality", "reduce duplication", or "remove code smell". Supports Lean 4 and general refactoring patterns.
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GitHub
commit
Create well-formatted commits with conventional commit messages. Use when: creating commits, staging changes, running git commit, or when asked to commit code. Triggers automatically for any git commit workflow...
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GitHub
autofix-flag-cleaner
Removes unsupported or unknown compiler flags from build configurations.
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GitHub
autofix-blueprint-syntax
Fixes syntax errors in Android.bp files.
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GitHub
autofix-router
Analyzes build errors and routes to the appropriate AutoFix skill. Use this as the entry point when encountering a build failure.
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GitHub
fix-plan
Create a remediation/fix plan from code review findings in REVIEW.md (especially outputs from the code-review skill).
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GitHub
code-review
Reviews code changes for bugs, style issues, security, and best practices. Use when reviewing PRs or checking code quality.
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GitHub
codeledger
Track AI code contributions for auditing and attribution. Use this skill BEFORE writing, editing, creating, or modifying any code files. Enables automatic detection of AI-authored vs human-authored code changes...
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GitHub
code-review
用于代码审查的 Skill，支持通用准则以及 Python 和 Go 的专项审查。
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GitHub
review-guidelines
Review guidelines. Always use when Claude needs to review the code changes
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GitHub
typecheck-preservationist
Run typecheck/tests for the Aralia codebase and resolve TypeScript errors without trimming features. Use when asked for "Typecheck Errorstate-0", "preservationist test run", or "Fix all typecheck issues" and wh...
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.