Discover data ai automation tools skills, compare source repositories and read the instructions for each workflow.
Performs systematic code review checking for correctness, maintainability, security, and best practices. Activates when user requests review, before creating PRs, or when significant code changes are ready. Ens...
Performs systematic code review checking for correctness, maintainability, security, and best practices. Activates when user requests review, before creating PRs, or when significant code changes are ready. Ens...
Development workflow for features, bugs, refactoring. Auto-activates for multi-file implementations.
Automated dependency conflict detection and resolution. Detects local vs CI environment mismatches, compares versions, and generates pinning recommendations. Run as pre-push check to catch issues early.
Development workflow for features, bugs, refactoring. Auto-activates for multi-file implementations.
Automates project setup with best practices including pre-commit hooks, linting, formatting, and boilerplate. Activates when creating new projects, missing configuration files, or setting up development environ...
Automates project setup with best practices including pre-commit hooks, linting, formatting, and boilerplate. Activates when creating new projects, missing configuration files, or setting up development environ...
Reviews code for best practices and potential issues.
Reference for the Woodpecker CI command-line tool. Use when working with Woodpecker CI pipelines, managing repositories, secrets, registries, organizations, or users via the CLI. Covers pipeline operations (sta...
Fast code/plan review for quality, security, and tests. Use for quick reviews before deeper analysis.
When reading or writing pyproject.toml or .toml config files in Python. When editing TOML while preserving comments and formatting. When designing configuration file format for a Python tool. When code uses tom...
The model must use this skill when : 1. working within any python project. 2. Python CLI applications with Typer and Rich are mentioned by the user. 2. tasked with Python script writing or editing. 3. building...
The model must invoke this skill when any trigger occurs - (1) user mentions "clang-format" or ".clang-format", (2) user requests analyzing code style/formatting patterns/conventions, (3) user requests creating...
When setting up automated code quality checks on git commit. When project has .pre-commit-config.yaml. When implementing git hooks for formatting, linting, or validation. When creating prepare-commit-msg hooks...
This skill should be used when the model needs to ensure code quality through comprehensive linting and formatting. It provides automatic linting workflows for orchestrators (format → lint → resolve via concurr...
Complete reference for Claude Code hooks system (January 2026). Use when creating hooks, understanding hook events, matchers, exit codes, JSON output control, environment variables, plugin hooks, or implementin...
The model must apply when tasks involve .gitlab-ci.yml configuration, GitLab Flavored Markdown (GLFM) syntax, gitlab-ci-local testing, CI/CD pipeline optimization, GitLab CI Steps composition, Docker-in-Docker...
Create distinctive, production-grade frontend interfaces. Use when building web components, pages, dashboards, React components, HTML/CSS layouts, or styling any web UI. Generates creative, polished code that a...
Maintain and improve code quality using PHPInsights without decreasing quality thresholds. Use when PHPInsights fails, cyclomatic complexity is too high, code quality drops, or when refactoring for better maint...
Create comprehensive project documentation from scratch. Use when setting up INITIAL documentation for a new project or building a complete documentation suite. NOT for updating existing docs (use documentation...
Diagnose and fix Deptrac architectural violations automatically. Use when Deptrac reports dependency violations, layers are incorrectly coupled, or when refactoring code to respect hexagonal architecture bounda...
Generate or update an AGENTS.md file by analyzing a repository's structure, commands, tests, and conventions. Use when asked to create or improve `AGENTS.md`.
Use when user asks to "analyze codebase", "scan project", "detect tech stack", or mentions "codebase analysis", "existing code", "collision risk", "brownfield", or "project context".
Write constitutions for existing codebases using Essential Floor + Emergent Ceiling approach. Use when creating constitutions for brownfield projects, codifying existing patterns, or when you see "brownfield",...
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.