code-review-checklist
Apply when reviewing pull requests, conducting code reviews, or self-reviewing code before submission.
Discover databases automation tools skills, compare source repositories and read the instructions for each workflow.
Apply when reviewing pull requests, conducting code reviews, or self-reviewing code before submission.
Best practices for refactoring across multiple files. Use when restructuring logic across 5+ files.
Generate changelog for recent merged PRs
Remove AI-generated code slop from the current branch
Address PR review comments from Copilot, bots, or humans
Create distinctive, production-grade terminal user interfaces with high design quality. Use this skill when the user asks to build CLI tools, TUI applications, or terminal-based interfaces. Generates creative,...
Review code changes for quality, bugs, security, and performance issues. Use when the user asks to review code, check a PR, do a code quality check, security review, find bugs, or requests code inspection.
Write and revise Markdown in a clean, consistent style. Draft and edit Markdown documents. Improve formatting for headings, lists, code blocks, tables, or links.
Generate comprehensive, maintainable test suites through code analysis. Use when the user asks to write tests, create unit tests, add test cases, test a function, or improve test coverage.
Defines the standard output format and template for creating development plans. Use this skill to ensure consistent, well-structured development plan formatting across any project type and technology stack.
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...
Builds and manages open source Python library communities including CONTRIBUTING.md, CODE_OF_CONDUCT.md, issue/PR templates, contributor recognition, and GitHub automation. Use when setting up community infrast...
Manages Python library releases including semantic versioning, changelog maintenance (Keep a Changelog format), release automation with GitHub Actions, and deprecation workflows. Use when planning releases, wri...
Sets up professional Python library projects with modern tooling (pyproject.toml, uv, ruff, pytest, pre-commit, GitHub Actions). Use when creating new Python libraries, modernizing existing projects to pyprojec...
Improves Python library code quality through ruff linting, mypy type checking, Pythonic idioms, and refactoring. Use when reviewing code for quality issues, adding type hints, configuring static analysis tools,...
Build, test, and lint TypeScript/React projects
Create git commit messages based on current staged changes. Has support for git emoji messages.
Comprehensive plugin auditing for compliance with marketplace best practices. MUST Use when validating, refactoring, or improving plugin quality. Do not use for creating new plugins, scaffolding components, or...
Comprehensive guide for creating, configuring, and using Claude Code hooks. MUST Use when creating hooks, implementing PreToolUse/PostToolUse/Stop hooks, or configuring event-driven automation. Do not use for g...
General-purpose guidance for Claude Code (terminal) and Claude Dev (platform). Covers stable principles (progressive disclosure, hooks, security) and volatile details with lookup workflows.
Manages Python environments, dependencies, and tools using uv and ruff. PROACTIVELY Use when setting up Python projects, adding dependencies, managing virtual environments, or enforcing code quality standards....
Follows project conventions, extracts examples from documentation, converts them to tests, and ensures documentation accuracy through automated testing. PROACTIVELY Use when generating comprehensive Vitest test...
Scans for secrets and performs comprehensive security audits. MUST Use when verifying security of code changes or auditing file safety.
Transforms repositories into structured plain-text digests optimized for LLM consumption. Use when analyzing GitHub repositories, digesting codebases, or ingesting git repos for AI analysis.
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.