Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
542 skills found
Production-ready reinforcement learning using Stable Baselines3. Train agents, design custom environments, implement training callbacks, and optimize workflows with a scikit-learn-style API.
Build systematic evaluation frameworks for AI agents using multi-dimensional rubrics, LLM-as-a-judge, and regression testing to measure performance, quality, and context engineering effectiveness.
Deploy applications to Vercel instantly. Supports preview and production deployments, automatic framework detection, and fallback script execution for seamless project publishing.
A generative agent skill for creating ASCII art, optimized for rapid, single-pass artistic output without iterative refinement.
Convert various documents, media, and web content into Markdown using markitdown, ideal for LLM processing and text analysis.
Manage client relationships, track follow-ups, and automate personalized email drafts using Obsidian-based client profiles.
Package entire code repositories into single, AI-optimized files. Ideal for providing codebase context to LLMs like Claude, ChatGPT, and Gemini for analysis, security audits, and bug investigations.
Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.
A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.
Enforces a strict evidence-before-assertion protocol for coding agents, requiring fresh command-line verification output before any claim of completion, success, or bug fixes.
Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.
Activates Prometheus planning mode for structured requirement gathering, codebase research, and task planning within Claude Code.