post-impl-docs
Update repository documentation after code implementation. Maintains README, CHANGELOG, docs/ folder, and inline docstrings based on changes made. Triggered by lane-executor after task completion.
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Update repository documentation after code implementation. Maintains README, CHANGELOG, docs/ folder, and inline docstrings based on changes made. Triggered by lane-executor after task completion.
Perform comprehensive code reviews covering security, style, performance, and best practices. Use when reviewing code changes before commit or merge, auditing existing code, or checking for vulnerabilities.
Automated lint and test smoke check workflow for code quality verification. Triggers when user requests code quality checks, lint execution, test validation, or smoke testing. Use for pre-commit checks or quali...
Create a git commit with automatic AI code review (Codex/Gemini rotation). Triggers on /commit.
AI 코드 리뷰 결과 분석 및 개선 실행. pending 리뷰를 읽고, 개선 필요사항을 분석하여 실제 코드 수정까지 진행. 평가는 부산물.
Automated validation results analysis for post-commit workflow. Triggers when user requests validation analysis, code review summary, or checking background validation results. Analyzes Biome, TypeScript, and A...
This skill should be used when the user asks to "review code", "check for anti-patterns", "audit my code", "find issues in code", "review this file", "check this component", or mentions code review, linting, or...
This skill should be used when the user asks to "analyze architecture", "review code structure", "check SOLID principles", "evaluate layering", "assess separation of concerns", "review module organization", or...
Git and GitHub integration patterns including branching, conflict resolution, and GitHub Actions.
Code quality review patterns including quality gates, checklists, and language-specific checks.
Pack codebases into context-optimized formats for analysis and understanding.
GitHub operations for creating PRs, pushing files, and managing branches.
Semantic code research across GitHub repositories for finding implementations, patterns, and conducting PR/security reviews.
Automate large-scale codebase refactoring using AST transformations on React code.
This skill should be used when the user asks to "review code", "check code quality", "find improvements", "refactor code", "fix code issues", "perform code review", "check for bugs", "improve code", "analyze co...
AI-supervised development workflow. Use when running /line-work, /line-prep, /line-cook, /line-serve, /line-tidy commands, managing beads issues during sessions, or following prep→cook→serve→tidy cycle. Covers...
內容一致性檢查器 — 確保程式碼、文檔、多來源之間保持一致
Perform comprehensive dead code and clean-up analysis in Python projects using static analysis, coverage, dependency checks, and security scanning. Use when asked to clean up code, find unused code, analyze dep...
Access plain text versions of GitHub content (diffs, patches, raw files) using GitHub's URL transformations. Use when users share GitHub URLs for PRs, commits, files, or gists and you need to analyze the actual...
Delegate asynchronous coding tasks to Jules (Google's AI coding agent) to maximize efficiency. Use for code reviews, refactoring, adding tests, bug fixes, and documentation. Proactively suggest Jules delegation...
Source code management workflow - nothing is ever lost
Memory Refactoring (talloc) refactoring skill
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoid...
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoid...
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.