{"query":"LangChain","count":20,"timings_ms":{"embed":119,"vector":167,"total":286},"embed_cached":true,"results":[{"slug":"a5c-ai/langchain-chains","score":0.525,"name":"langchain-chains","category":"AI & Automation","quality_tier":"solid","quality_score":94,"repo_stars":1271,"repo_full_name":"a5c-ai/babysitter","description":"LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns","entity_type":"skill","detail_url":"/skills/a5c-ai/langchain-chains/"},{"slug":"claude-dev-suite/langchain","score":0.5159,"name":"langchain","category":"AI & Automation","quality_tier":"solid","quality_score":85,"repo_stars":30,"repo_full_name":"claude-dev-suite/claude-dev-suite","description":"LangChain framework for LLM application development. Covers chains, agents, tools, RAG pipelines, vector stores, memory, and LangChain Expression Language (LCEL). Python and TypeScript/JavaScript. USE WHEN: user mentions \"langchain\", \"LLM chain\", \"AI agent\", \"LCEL\", \"retrieval chain\", \"LangChain tools\", \"LangSmith\", \"LangGraph\" DO NOT USE FOR: direct API calls without framework - use Claude/OpenAI SDK; vector database specifics - use `vector-databases`; RAG architecture patterns - use `rag-patte","entity_type":"skill","detail_url":"/skills/claude-dev-suite/langchain/"},{"slug":"jeremylongshore/langchain-hello-world","score":0.481,"name":"langchain-hello-world","category":"AI & Automation","quality_tier":"featured","quality_score":99,"repo_stars":2329,"repo_full_name":"jeremylongshore/claude-code-plugins-plus-skills","description":"Create a minimal working LangChain example with LCEL chains. Use when starting a new LangChain integration, testing your setup, or learning LCEL pipe syntax with prompts and output parsers. Trigger: \"langchain hello world\", \"langchain example\", \"langchain quick start\", \"simple langchain code\", \"first langchain app\".","entity_type":"skill","detail_url":"/skills/jeremylongshore/langchain-hello-world/"},{"slug":"Makiya1202/langchain","score":0.4735,"name":"langchain","category":"AI & Automation","quality_tier":"listed","quality_score":65,"repo_stars":2,"repo_full_name":"Makiya1202/ai-agents-skills","description":"Build LLM applications with LangChain and LangGraph. Use when creating RAG pipelines, agent workflows, chains, or complex LLM orchestration. Triggers on LangChain, LangGraph, LCEL, RAG, retrieval, agent chain.","entity_type":"skill","detail_url":"/skills/Makiya1202/langchain/"},{"slug":"jeremylongshore/langchain-reference-architecture","score":0.4685,"name":"langchain-reference-architecture","category":"AI & Automation","quality_tier":"featured","quality_score":99,"repo_stars":2372,"repo_full_name":"jeremylongshore/claude-code-plugins-plus-skills","description":"Implement LangChain reference architecture for production systems: layered design, provider abstraction, chain registry, RAG pipelines, and multi-agent orchestration. Trigger: \"langchain architecture\", \"langchain design patterns\", \"langchain scalable\", \"langchain enterprise\", \"LLM architecture\".","entity_type":"skill","detail_url":"/skills/jeremylongshore/langchain-reference-architecture/"},{"slug":"sickn33/langchain-architecture","score":0.458,"name":"langchain-architecture","category":"AI & Automation","quality_tier":"featured","quality_score":99,"repo_stars":39972,"repo_full_name":"sickn33/antigravity-awesome-skills","description":"Master the LangChain framework for building sophisticated LLM applications with agents, chains, memory, and tool integration.","entity_type":"skill","detail_url":"/skills/sickn33/langchain-architecture/"},{"slug":"aiskillstore/langchain-architecture","score":0.4501,"name":"langchain-architecture","category":"AI & Automation","quality_tier":"listed","quality_score":79,"repo_stars":346,"repo_full_name":"aiskillstore/marketplace","description":"Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.","entity_type":"skill","detail_url":"/skills/aiskillstore/langchain-architecture/"},{"slug":"HermeticOrmus/langchain-architecture","score":0.4501,"name":"langchain-architecture","category":"AI & Automation","quality_tier":"listed","quality_score":79,"repo_stars":24,"repo_full_name":"HermeticOrmus/claude-code-game-development","description":"Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.","entity_type":"skill","detail_url":"/skills/HermeticOrmus/langchain-architecture/"},{"slug":"wshobson/langchain-architecture","score":0.4444,"name":"langchain-architecture","category":"AI & Automation","quality_tier":"solid","quality_score":93,"repo_stars":36478,"repo_full_name":"wshobson/agents","description":"Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.","entity_type":"skill","detail_url":"/skills/wshobson/langchain-architecture/"},{"slug":"CodeWithBehnam/langchain-architecture","score":0.4444,"name":"langchain-architecture","category":"AI & Automation","quality_tier":"listed","quality_score":70,"repo_stars":null,"repo_full_name":"CodeWithBehnam/cc-docs","description":"Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.","entity_type":"skill","detail_url":"/skills/CodeWithBehnam/langchain-architecture/"},{"slug":"davila7/langchain","score":0.4378,"name":"langchain","category":"AI & Automation","quality_tier":"featured","quality_score":99,"repo_stars":30467,"repo_full_name":"davila7/claude-code-templates","description":"Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.","entity_type":"skill","detail_url":"/skills/davila7/langchain/"},{"slug":"Zephyrex21/langchain","score":0.4378,"name":"langchain","category":"AI & Automation","quality_tier":"listed","quality_score":68,"repo_stars":2,"repo_full_name":"Zephyrex21/claude-skills-vetted","description":"Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.","entity_type":"skill","detail_url":"/skills/Zephyrex21/langchain/"},{"slug":"Orchestra-Research/langchain","score":0.4378,"name":"langchain","category":"AI & Automation","quality_tier":"solid","quality_score":94,"repo_stars":9399,"repo_full_name":"Orchestra-Research/AI-Research-SKILLs","description":"Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.","entity_type":"skill","detail_url":"/skills/Orchestra-Research/langchain/"},{"slug":"qepilot/langchain","score":0.4368,"name":"langchain","category":"AI & Automation","quality_tier":"listed","quality_score":72,"repo_stars":null,"repo_full_name":"qepilot/qepilot-stack","description":"Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.","entity_type":"skill","detail_url":"/skills/qepilot/langchain/"},{"slug":"agents-inc/ai-orchestration-langchain","score":0.4213,"name":"ai-orchestration-langchain","category":"AI & Automation","quality_tier":"listed","quality_score":77,"repo_stars":15,"repo_full_name":"agents-inc/skills","description":"LangChain.js patterns for building LLM applications — chat models, LCEL chains, prompt templates, structured output, agents, tools, RAG, streaming, and LangSmith tracing","entity_type":"skill","detail_url":"/skills/agents-inc/ai-orchestration-langchain/"},{"slug":"jeremylongshore/langchain-webhooks-events","score":0.4151,"name":"langchain-webhooks-events","category":"AI & Automation","quality_tier":"featured","quality_score":99,"repo_stars":2329,"repo_full_name":"jeremylongshore/claude-code-plugins-plus-skills","description":"Implement LangChain callback handlers, streaming, webhooks, Server-Sent Events (SSE), and WebSocket integration. Trigger: \"langchain callbacks\", \"langchain webhooks\", \"langchain events\", \"langchain streaming\", \"langchain SSE\", \"WebSocket LLM\".","entity_type":"skill","detail_url":"/skills/jeremylongshore/langchain-webhooks-events/"},{"slug":"Bilal140202/langchain","score":0.4124,"name":"langchain","category":"AI & Automation","quality_tier":"listed","quality_score":64,"repo_stars":1,"repo_full_name":"Bilal140202/the-lord-of-the-skills","description":"LangChain skill for building LLM orchestration, agents, RAG pipelines, tools, memory, callbacks, and deployment.","entity_type":"skill","detail_url":"/skills/Bilal140202/langchain/"},{"slug":"jeremylongshore/langchain-enterprise-rbac","score":0.4002,"name":"langchain-enterprise-rbac","category":"AI & Automation","quality_tier":"featured","quality_score":99,"repo_stars":2329,"repo_full_name":"jeremylongshore/claude-code-plugins-plus-skills","description":"Implement role-based access control for LangChain applications with multi-tenant isolation, model access control, and usage quotas. Trigger: \"langchain RBAC\", \"langchain permissions\", \"langchain access control\", \"langchain multi-tenant\", \"enterprise LLM auth\".","entity_type":"skill","detail_url":"/skills/jeremylongshore/langchain-enterprise-rbac/"},{"slug":"jeremylongshore/langchain-ci-integration","score":0.3973,"name":"langchain-ci-integration","category":"AI & Automation","quality_tier":"featured","quality_score":99,"repo_stars":2329,"repo_full_name":"jeremylongshore/claude-code-plugins-plus-skills","description":"Configure CI/CD for LangChain with GitHub Actions, mocked unit tests, gated integration tests, and RAG pipeline validation. Trigger: \"langchain CI\", \"langchain GitHub Actions\", \"langchain automated tests\", \"CI langchain\", \"langchain pipeline testing\".","entity_type":"skill","detail_url":"/skills/jeremylongshore/langchain-ci-integration/"},{"slug":"jeremylongshore/langchain-prod-checklist","score":0.3956,"name":"langchain-prod-checklist","category":"AI & Automation","quality_tier":"featured","quality_score":99,"repo_stars":2329,"repo_full_name":"jeremylongshore/claude-code-plugins-plus-skills","description":"Production readiness checklist for LangChain applications. Use when preparing for launch, validating deployment readiness, or auditing existing production LangChain systems. Trigger: \"langchain production\", \"langchain prod ready\", \"deploy langchain\", \"langchain launch checklist\", \"go-live langchain\".","entity_type":"skill","detail_url":"/skills/jeremylongshore/langchain-prod-checklist/"}],"source":{"source":"ClaudeAtlas","source_url":"https://claudeatlas.com","license":"MIT (catalog metadata); skills retain upstream licenses","data_recency":"Updated daily ~06:30 UTC","methodology_url":"https://claudeatlas.com/methodology/","citation_url":"https://claudeatlas.com/credits/","recommended_citation":"Source: ClaudeAtlas — https://claudeatlas.com"}}