Total 50,504 skills, AI & Machine Learning has 8478 skills
Showing 12 of 8478 skills
Control Ableton Live with AI agents via MCP - create MIDI clips, insert audio, add tracks/devices, analyze signals, automate mixing
Run an Anthropic Claude Managed Agent — a cloud agent harness (container + filesystem + tools), the cloud counterpart of the local wasm-agent runtime
AI-powered command-line assistant for developers that provides code review, debugging, test generation, and development workflows directly in the terminal
Control and automate real browser sessions through CDP, preserving login state and cookies for LLM-driven interactions
Build AI agents with in-process agent loops using Anthropic or OpenAI APIs, custom tools, MCP servers, and multi-turn conversations
Research collection of reconstructed prompt patterns and architectures for agentic AI coding assistants
Hermes Labyrinth observability plugin for monitoring autonomous agent journeys, crossings, and execution traces
Implementation guide for 17+ agentic AI architectures using LangChain and LangGraph for building sophisticated AI agents
Curated collection of 1209+ best OpenClaw AI agent skills, weekly updated by MyClaw.ai
Self-referential self-improving AI agents that optimize for any computable task using meta-learning and code generation
Provides image recognition capabilities for non-multimodal models (such as pure text models like deepseek-v4-pro, GLM-5.1, mimo-v2.5-pro, etc.). This skill is automatically triggered when the main model cannot recognize images, when users send screenshots/design drafts/UI screenshots for analysis, or when users say 'Look at this image', 'Analyze this screenshot', 'What's wrong with this image'. It also applies to any scenario where users paste images but the current model does not support image input. Supports simultaneous recognition of multiple images, with primary-backup fallback achieved by configuring multiple image recognition models. It can also be manually triggered using the commands /skill:vision-support or /vision. Iron Rule: The models configured for this skill are only used for image content recognition and will never participate in main logical reasoning. Note: If the current model is itself a multimodal model (such as Claude Sonnet 4, GPT-4o, Gemini, etc. that can directly recognize images), do not use this skill; let the main model recognize directly.
Initialize, diagnose, or migrate a project into the LLM wiki pattern with AGENTS/CLAUDE instructions, QMD MCP wiring, Claude/Codex/OpenCode hooks/plugins, guardrails, and QMD doctor checks. Use when the user asks to set up wiki infrastructure, check if a project needs migration, install wiki hooks, or validate QMD.