Discover data ai automation tools skills, compare source repositories and read the instructions for each workflow.
Review Python code changes in merge requests and pull requests. Use when asked to review Python code, MR/PR reviews, code quality checks, or when phrases like "review this code", "check this PR", "review my cha...
Bug and issue tracking system using markdown files. Record, track, and resolve bugs, errors, and issues encountered during development. Create detailed bug reports with reproduction steps, error messages, root...
Git version control management for code commits, push operations, branch management, and maintaining git history records. Use when managing git operations in software projects, including committing code changes...
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 or bootstrap GitHub repos: init git, set About/topics, style README headers/badges, and push.
Standardize git commit messages using a consistent convention and guide clean-history workflows. Use when a user asks for commit message suggestions, to enforce a commit style, or to keep history clean by amend...
Central CLAUDE.md file with project guidelines auto-injected into system prompt, achieving 10% accuracy lift in multi-hop reasoning through consistent context. Use for repo-wide context, coding standards enforc...
Two-phase workflow that generates explicit YAML plan before execution, with approval gates and checkpointing. Use for complex multi-file changes, refactoring, bug fixes with dependencies, or any task where mist...
AI outputs YAML descriptors instead of code, CLI executes deterministically for 100% auditable behavior with zero slop. Use when auditability is critical, generated code review needed, or deterministic executio...
Convert repeated tasks into versioned skills, track performance gaps, and iteratively polish through Git version control. Use for identifying repeated patterns, improving skill consistency, tracking skill evolu...
Provides PR description format and workflow requirements for GitHub pull requests. Use this skill when creating PRs or using 'gh pr create'.
Provides Git repository workflow guidelines including branch management, testing practices (TDD), Docker environment handling, and PR workflow. Use this skill when implementing features, fixing bugs, or making...
Automated git commit message generator from approved tasks
Common refactoring patterns and code transformations
Before/after verification for refactoring - ensures nothing breaks
Auto-generate documentation, comments, and API docs from code
Smart dependency management for npm/yarn/pnpm packages with safety checks and impact analysis
Code quality checks and auto-fixing
Clone GitHub repositories into Daytona sandbox environments and set up development environments. Use when Claude needs to: (1) Clone a repository into a sandbox, (2) Set up a development environment from a Git...
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...
Use when implementing any feature or bugfix, before writing implementation code
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...
Standard project layout and Spec-Kit usage patterns for AI-driven, spec-driven monorepos that host frontend, backend, and specs in a single repository.
Update and maintain core repository documentation files (README.md, CHANGELOG.md, LICENSE, CONTRIBUTING.md) before commits or releases. Use when users need to update documentation to reflect code changes, prepa...
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.