发现 documentation automation tools 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Comprehensive spec-driven development workflow combining artifact management with systematic implementation. Use when starting new features, creating specs/plans, implementing from specifications, or coordinati...
When reviewing coding test solutions. This Skill reviews coding test solutions and provides feedback. it adds an evaluation section to the README.md file in the problem-solving folder, including areas for impro...
Generate high-quality code in various programming languages following best practices. Use when the user asks to write, create, or generate code, functions, classes, or scripts.
Expert-level git workflow management, conventional commits, branching strategies, and merge operations. Use for git operations, branch management, and commit standardization.
Expert-level semantic versioning, package publishing, changelog generation, and release orchestration. Use for version management, PyPI/Docker releases, and deployment automation.
Expert-level semantic versioning, package publishing, changelog generation, and release orchestration. Use for version management, PyPI/Docker releases, and deployment automation.
Expert-level git workflow management, conventional commits, branching strategies, and merge operations. Use for git operations, branch management, and commit standardization.
Manage GitHub Actions workflows, containerization, deployment pipelines, and release automation. Use when working with CI/CD, Docker, or deployment.
Manage GitHub Actions workflows, containerization, deployment pipelines, and release automation. Use when working with CI/CD, Docker, or deployment.
Expert-level git workflow management, conventional commits, branching strategies, and merge operations. Use for git operations, branch management, and commit standardization.
Expert-level semantic versioning, package publishing, changelog generation, and release orchestration. Use for version management, PyPI/Docker releases, and deployment automation.
Create a template file for human reviewers to write free-form feedback before AI code review.
Create, update, and improve clear, accurate, and actionable documentation for developers and users.
Safely refactor code to reduce complexity, improve structure, and increase maintainability while preserving behavior.
Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit mes...
Expert TypeScript development with advanced type safety, full-stack patterns, and build optimization. Use when designing or refactoring TypeScript, auditing type safety, or improving TS tooling and compile perf...
Generate semantic commit messages in English. Use when the user asks for a commit message or semantic commit guidance. Prefer the user’s stated change intent and context, and keep the message consistent with th...
Code linting and formatting standards for consistent, maintainable codebases
Code refactoring patterns, techniques, and best practices for improving code structure without changing behavior
AI-assisted code generation workflows, prompting strategies, and best practices for working with Claude Code
Skill for standardizing and accelerating Convex backend development with boilerplate generation and pattern enforcement.
[52] EXECUTE. Three-stage refactoring workflow: (1) iterative research of refactor/modularization options, (2) plan + risk/edge-case analysis + Scope150 validation, then implement with tests after user confirma...
[61] VALIDATE. Comprehensive code quality check combining ESLint, TypeScript compilation, and unused code detection. Runs full lint suite with detailed error reporting and fix suggestions. Use before commits, a...
Research and understand React projects and features. Use when asked to explore a React codebase, check if a feature exists, understand component relationships, or map project structure. Specialized for React/Vi...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。