Discover Content & media skills, compare source repositories and read the instructions for each workflow.
This skill should be used when managing the file-based todo tracking system in the .claude/todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and in...
This skill should be used when analyzing errors, stack traces, and logs to identify root causes and implement fixes.
This skill provides patterns for safe, systematic refactoring including extract, rename, move, and simplification operations with proper testing and rollback strategies.
Use when the user asks for Kubernetes cluster inspection and troubleshooting (kubectl + kustomize; non-destructive by default).
Create or update Roo skill definitions and save them to the correct global (~/.roo/skills) or local (/.roo/skills) location
Git workflow patterns including stacked PRs and common operations
Strict TypeScript patterns - no any, no assertions, type-safe code
Nix and Home Manager idioms for dotfiles configuration
Git commit message conventions and workflow patterns
Code review checklist and patterns for thorough PR reviews
Generate a single PRD JSON entry from a plain-English feature idea and append it to ralph/prd.json. Use when asked to convert feature ideas into this project's PRD schema, produce a JSON object with id/title/pr...
Manages a structured knowledge base of patterns, troubleshooting guides, best practices, and workflows. Activates when discovering reusable insights, solving technical problems, or establishing new standards. R...
Assists with code review by analyzing code changes for quality, best practices, security, and potential issues. Activates after implementing code features, bug fixes, or refactorings. Provides structured feedba...
Assists with careful Git commits in any repository. Activates when committing changes, checking .gitignore, or generating commit messages. Ensures proper file exclusion (credentials, MCP configs, personal setti...
Executes tests, analyzes test results, checks test coverage, and provides comprehensive testing status overview. Primarily for Go projects. Activates after implementing/modifying code to verify correctness, or...
Assists with code refactoring by detecting code smells, suggesting improvements, and providing refactoring patterns. Activates when writing/editing code, explicitly requested refactoring, or when code quality i...
Maintains high-quality, concise, project-aligned documentation. Creates, updates, and validates README.md, CLAUDE.md, code comments, and other documentation. Activates after implementing features, when document...
Executes Exa AI search queries via unified Python CLI. Use when searching the web for current information, finding code examples, researching APIs, SDKs, or retrieving programming context for any library or fra...
Queries Nx workspace metadata, project configurations, affected detection, generator schemas, and dependency graphs via unified Python CLI. Use when analyzing monorepo structure, inspecting project.json configu...
Extracts work units from plan artifacts and creates sequenced GitHub issues. Use when (1) decomposing plan.md into actionable issues, (2) creating issues with validation checklists, (3) linking issue dependenci...
Executes SonarCloud API queries via unified Python CLI. Use when checking quality gate status, searching issues (bugs, vulnerabilities, code smells), retrieving metrics (coverage, complexity), or viewing analys...
Orchestrates two-round parallel agent research for comprehensive topic exploration. Use when conducting research, exploring complex topics, gathering multi-faceted information, or synthesizing findings from par...
Synthesizes research findings into design decisions via codebase investigation. Use when (1) translating research into implementation approaches, (2) selecting between design alternatives, (3) executing after /...
Executes Tavily AI web operations via unified Python CLI. Use when searching the web, extracting content from URLs, crawling websites, or mapping site structure.
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.