Total 50,633 skills, AI & Machine Learning has 8486 skills
Showing 12 of 8486 skills
Control Home Assistant smart home devices through AI assistants using the Model Context Protocol
Discover, explore, and learn about MCP (Model Context Protocol) servers from a curated list of 6000+ implementations across 30+ categories
Automate Cheat Engine memory analysis, reverse engineering, and debugging using AI through MCP protocol
Team-orchestrated implement → verify → fix → archive cycle
This skill should be used when the user asks to "콘텐츠 정리", "아티클 요약", "PDF 학습", "영상 정리", "트윗 정리", "digest", "summarize", "정리해줘", or provides a YouTube URL, X/Twitter URL (x.com, twitter.com), webpage URL, or PDF file for analysis. Supports YouTube (transcript), X/Twitter (via fetch-tweet skill), webpage (full content via browser), and PDF (text + image per page). Generates Quiz-First learning with 9 questions across 3 difficulty levels.
INVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2) Defining Run Functions - how to capture outputs and trajectories from your agent; (3) Running Evaluations - locally with evaluate() or auto-run via LangSmith. Uses the langsmith CLI tool.
INVOKE THIS SKILL when creating evaluation datasets, uploading datasets to LangSmith, or managing existing datasets. Covers dataset types (final_response, single_step, trajectory, RAG), CLI management commands, SDK-based creation, and example management. Uses the langsmith CLI tool.
AI governance policy creation for nonprofits and enterprises with frameworks, risk assessment, ethical guidelines, and compliance templates. Use when drafting AI usage policies, responsible AI frameworks, or organizational AI governance documents.
Direct high-fidelity cinematic video with AI — translates creative intent into technical cinematographic directives for Veo3, Kling, and Luma video models via muapi.ai
Thinking guidance mechanism that requires Agent to raise guiding questions before giving answers, helping users think actively and avoid the degradation of cognitive abilities. It is applicable to interaction scenarios such as user questioning, solution consultation, learning communication, etc.
Operate OpenWord end-to-end for live adventure sessions. Use when Codex needs to download/install/start OpenWord, guide a human player in the browser, or play autonomously through REST API (create/load game, do_action loop, state/image retrieval), including configuring GEMINI_API_KEY and sharing interesting scenes and choices during play.
Provides usage instructions and best practices for the skills_sync CLI tool. Use this to understand how to manage, sync, and configure AI agent skills based on the user's config file.