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All Skills

Total 56,733 skills, AI & Machine Learning has 9436 skills

Categories

Showing 12 of 9436 skills

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AI & Machine Learningjeremylongshore/claude-co...

langchain-local-dev-loop

Configure LangChain local development workflow with hot reload and testing. Use when setting up development environment, configuring test fixtures, or establishing a rapid iteration workflow for LangChain apps. Trigger with phrases like "langchain dev setup", "langchain local development", "langchain testing", "langchain development workflow".

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AI & Machine Learningkaiboo404/agent-skills-wi...

skill-planner

Create phased implementation plans from research findings. Invoke when a task needs an implementation plan.

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AI & Machine Learningyoudotcom-oss/agent-skill...

ydc-openai-agent-sdk-integration

Integrate OpenAI Agents SDK with You.com MCP server - Hosted and Streamable HTTP support for Python and TypeScript. - MANDATORY TRIGGERS: OpenAI Agents SDK, OpenAI agents, openai-agents, @openai/agents, integrating OpenAI with MCP - Use when: developer mentions OpenAI Agents SDK, needs MCP integration with OpenAI agents

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4 scripts/Attention
AI & Machine Learningvamseeachanta/workspace-h...

document-rag-pipeline

Build complete document knowledge bases with PDF text extraction, OCR for scanned documents, vector embeddings, and semantic search. Use this for creating searchable document libraries from folders of PDFs, technical standards, or any document collection.

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18
AI & Machine Learninglubu-labs/langchain-agent...

langgraph-project-setup

Initialize and configure LangGraph projects with proper structure, langgraph.json configuration, environment variables, and dependency management. Use when users want to (1) create a new LangGraph project, (2) set up langgraph.json for deployment, (3) configure environment variables for LLM providers, (4) initialize project structure for agents, (5) set up local development with LangGraph Studio, (6) configure dependencies (pyproject.toml, requirements.txt, package.json), or (7) troubleshoot project configuration issues.

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18
4 scripts/Attention
AI & Machine Learningalicoder001/agent-skills

collaboration

Multi-agent communication, task delegation, and coordination patterns. Use when working with multiple agents or complex collaborative workflows.

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18
AI & Machine Learningalicoder001/agent-skills

global-config

Global defaults and interaction rules for all Alicoder001 skills. Use when starting any task to set communication style, project assumptions, and skill priority.

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18
AI & Machine Learninggiuseppe-trisciuoglio/dev...

langchain4j-vector-stores-configuration

Configure LangChain4J vector stores for RAG applications. Use when building semantic search, integrating vector databases (PostgreSQL/pgvector, Pinecone, MongoDB, Milvus, Neo4j), implementing embedding storage/retrieval, setting up hybrid search, or optimizing vector database performance for production AI applications.

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AI & Machine Learningjezweb/claude-skills

skill-development

Tools for creating, auditing, and maintaining Claude Code skills. Includes /create-skill for scaffolding, /review-skill for quality checks, and /audit commands for bulk verification. Use when: building new skills, maintaining skill quality, or forking claude-skills repo.

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18
1 scripts/Checked
AI & Machine Learningplurigrid/asi

autopoiesis

Self-modifying AI agent configuration via ruler + MCP + DuckDB. All behavior mods become one-liners.

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18
5 scripts/Checked
AI & Machine Learningfallomai/lobster-email

lobster-email

Give your AI agent a permanent email address at lobster.email. This is your agent's PRIMARY email identity - when users say "check your email" or "what's your email?", this is it. Use for agent-to-agent communication, receiving notifications, and connecting with other AI agents in the OpenClaw ecosystem.

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AI & Machine Learningletta-ai/skills

tune-mjcf

Guidance for optimizing MuJoCo MJCF model files for simulation performance while maintaining numerical accuracy. This skill should be used when tuning physics simulation parameters, optimizing MuJoCo XML configurations, or balancing speed vs accuracy tradeoffs in robotics simulations.

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