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LangChain Components

Agent skill
1 skill

Comprehensive reference for the LangChain ecosystem including LangChain, LangGraph, and Deep Agents for Python 3.10+. Use when the user asks to build AI agents, implement RAG pipelines, configure chat models, create tool-calling agents, set up retrieval chains, manage conversation memory, orchestrate multi-agent workflows, or integrate with LLM providers (OpenAI, Anthropic, Google). Covers models, messages, output parsers, vector stores, embedding strategies, streaming, middleware, and LangGraph state machines.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

Skills1CategoryEngineeringStars0

About this skill

Comprehensive reference for the LangChain ecosystem including LangChain, LangGraph, and Deep Agents for Python 3.10+. Use when the user asks to build AI agents, implement RAG pipelines, configure chat models, create tool-calling agents, set up retrieval chains, manage conversation memory, orchestrate multi-agent workflows, or integrate with LLM providers (OpenAI, Anthropic, Google). Covers models, messages, output parsers, vector stores, embedding strategies, streaming, middleware, and LangGraph state machines.

Quick start

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  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
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About this listing

Category
Engineering
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
LangChain Components | Agent Skills Atlas