Discover data ai automation tools skills, compare source repositories and read the instructions for each workflow.
Expert Debian package builder specializing in git-buildpackage, debhelper, and Debian Policy compliance. Use for .deb packaging, debian/ directory work, dpkg operations, and package maintenance. Triggers on "De...
Execute Kent Beck's Tidy First approach by making structural changes to code without changing behavior. Prepares code for easier behavioral changes by improving structure first.
Framework evaluation criteria and deployment patterns for static site generators with GitHub Pages. Use when choosing SSG frameworks, configuring builds, or setting up GitHub Pages deployment.
Apply the same operation to all files matching a glob pattern. Use this skill whenever you need to process multiple files systematically, such as fixing guideline violations, unifying code style, or fixing type...
Create, checkout, rebase, and manage git branches following Carbon ACX naming conventions and workflows.
Analyzes a codebase to generate comprehensive architectural documentation including technologies used, data flows, functional components, APIs, external dependencies, commit history analysis, and complexity hot...
GitHub code review operations - approve PRs, request changes, comment on code, and manage review workflows using gh CLI
Skill for creating and editing PHP tests following Prowi conventions. Use when creating tests, updating test files, or refactoring tests. Applies proper structure, naming, factory usage, and Laravel/PHPUnit bes...
Backup dotfiles before changes and restore if needed
Intelligence-first code analysis for bugs, architecture, performance, and security. Use proactively when investigating code issues, tracing dependencies, or understanding system behavior. MUST query project-int...
Generate PROJECT-MAP.auto.scm by extracting structure from codebases. Invoke when user requests project mapping, structure extraction, or needs to create/update .phi maps.
Use when reviewing code for AI-generated quality issues, detecting patterns of low-quality AI output, or auditing codebases with significant AI-assisted development. Provides systematic detection, prevention, a...
Use when creating new skills, editing existing skills, or improving skill documentation. Applies Test-Driven Development to process documentation - run baseline tests without the skill first, then write minimal...
Safe code refactoring combining Sherpa's refactor workflow, Julie's reference checking and safe renaming, and Goldfish's before/after checkpointing. Activates for code improvement with systematic testing, refac...
Code tagging system using @FEAT, @COMP, @TYPE tags for easy discovery and navigation. Use when adding documentation tags or searching for related code across the codebase.
Execute the REFACTOR phase of TDD by improving code structure while keeping all tests green. Removes duplication, improves naming, and enhances code quality without changing behavior.
Generates production-ready code with proper error handling, type safety, SOLID principles, and comprehensive documentation
Submit complex code questions to OpenAI GPT-5 Pro for deep analysis when you have 20 minutes. Use when the user asks for architectural analysis, comprehensive code review, debugging complex issues, or requests...
Validates and registers command manifest files (YAML) to integrate new slash commands into Betty.
Spec-driven source translation & modernization workflow for codebases. Use when asked to migrate/translate a project (e.g., framework/SDK/language upgrade), or when the user wants a structured, externally-valid...
Best practices for branching, committing and creating pull requests in Git.
Use this skill when the user needs help formatting git commit messages according to Conventional Commits specification. Provides guidance on commit types, scope, and message structure.
View and analyze commits in GitHub repositories - commit history, diffs, and commit details using gh CLI
GitHub Actions workflow patterns for deployment. Use when creating CI/CD workflows.
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.