tldr
Token-efficient codebase analysis skill for call graphs, semantic search, impact analysis, and data flow. Saves ~95% tokens vs. raw reads.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
187 skills found
Token-efficient codebase analysis skill for call graphs, semantic search, impact analysis, and data flow. Saves ~95% tokens vs. raw reads.
Standardizes the process of creating and maintaining reusable Claude Code skills for packaging developer workflows and domain expertise.
Generate triage reports and analyze feature area health for the Windows App SDK repository. Identify high-priority issues, triage backlogs, and team focus areas.
Pragmatic AI-assisted coding standards focused on clean code, simplicity, and maintainability. Enforces best practices like SRP, DRY, and KISS to prevent over-engineering.
Explains code using visual diagrams, relatable analogies, step-by-step walkthroughs, and common pitfalls.
Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.
Structured task planning framework for AI agents to break down complex features, refactors, and bugs into actionable, verifiable steps.
Guidance and operational tips for identifying, reviewing, and managing pull requests created by the GitHub Copilot coding agent within your repository.
An AI-powered skill that automatically retrieves relevant project context from your RAG knowledge base for complex coding tasks.
Systematic technical conversation logging for developers and engineers. Captures decisions, implementation details, and session outcomes with factual precision.
Resets workflow artifacts in the .otto/ directory. Safely removes tasks, specs, and browser sessions for a clean start.
Enforces Sentry-style conventional commits, branch safety checks, and structured issue referencing for AI coding agents.