{"query":"LangChain","count":20,"timings_ms":{"embed":141,"vector":104,"total":245},"embed_cached":true,"results":[{"slug":"a5c-ai/langchain-chains","score":0.5275,"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":"jeremylongshore/langchain-hello-world","score":0.4847,"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":0.4665,"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":0.4653,"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":"aiskillstore/langchain-architecture","score":0.4545,"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":0.4545,"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":"a5c-ai/langchain-memory","score":0.4368,"name":"langchain-memory","category":"AI & Automation","quality_tier":"solid","quality_score":94,"repo_stars":1271,"repo_full_name":"a5c-ai/babysitter","description":"LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory","entity_type":"skill","detail_url":"/skills/a5c-ai/langchain-memory/"},{"slug":"Orchestra-Research/langchain","score":0.436,"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":"davila7/langchain","score":0.436,"name":"langchain","category":"AI & Automation","quality_tier":"featured","quality_score":99,"repo_stars":27814,"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":"jeremylongshore/langchain-multi-env-setup","score":0.4222,"name":"langchain-multi-env-setup","category":"AI & Automation","quality_tier":"featured","quality_score":99,"repo_stars":2329,"repo_full_name":"jeremylongshore/claude-code-plugins-plus-skills","description":"Configure LangChain across dev/staging/production environments with isolated API keys, environment-specific settings, and secrets. 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Trigger: \"langchain chains\", \"langchain prompts\", \"LCEL workflow\", \"langchain pipeline\", \"prompt template\", \"RunnableSequence\".","entity_type":"skill","detail_url":"/skills/jeremylongshore/langchain-core-workflow-a/"},{"slug":"majiayu000/langchain-core-workflow-a","score":0.4139,"name":"langchain-core-workflow-a","category":"AI & Automation","quality_tier":"solid","quality_score":95,"repo_stars":377,"repo_full_name":"majiayu000/claude-skill-registry","description":"Build LangChain chains and prompts for structured LLM workflows. Use when creating prompt templates, building LCEL chains, or implementing sequential processing pipelines. Trigger with phrases like \"langchain chains\", \"langchain prompts\", \"LCEL workflow\", \"langchain pipeline\", \"prompt template\".","entity_type":"skill","detail_url":"/skills/majiayu000/langchain-core-workflow-a/"},{"slug":"agents-inc/ai-orchestration-langchain","score":0.4135,"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-data-handling","score":0.4008,"name":"langchain-data-handling","category":"AI & Automation","quality_tier":"featured","quality_score":99,"repo_stars":2329,"repo_full_name":"jeremylongshore/claude-code-plugins-plus-skills","description":"Implement LangChain RAG pipelines with document loaders, text splitters, embeddings, and vector stores (Chroma, Pinecone, FAISS). Trigger: \"langchain RAG\", \"langchain documents\", \"langchain vector store\", \"langchain embeddings\", \"document loaders\", \"text splitters\", \"retrieval\".","entity_type":"skill","detail_url":"/skills/jeremylongshore/langchain-data-handling/"},{"slug":"jeremylongshore/langchain-prod-checklist","score":0.3995,"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/"},{"slug":"jeremylongshore/langchain-upgrade-migration","score":0.3978,"name":"langchain-upgrade-migration","category":"AI & Automation","quality_tier":"featured","quality_score":99,"repo_stars":2329,"repo_full_name":"jeremylongshore/claude-code-plugins-plus-skills","description":"Upgrade LangChain SDK versions safely with import path migration, LCEL conversion from legacy chains, and agent API updates. Trigger: \"upgrade langchain\", \"langchain migration\", \"langchain breaking changes\", \"update langchain version\", \"langchain 0.3\", \"langchain deprecation\".","entity_type":"skill","detail_url":"/skills/jeremylongshore/langchain-upgrade-migration/"},{"slug":"jeremylongshore/langchain-deploy-integration","score":0.3973,"name":"langchain-deploy-integration","category":"AI & Automation","quality_tier":"featured","quality_score":99,"repo_stars":2329,"repo_full_name":"jeremylongshore/claude-code-plugins-plus-skills","description":"Deploy LangChain applications to production with LangServe, Docker, and cloud platforms (Cloud Run, AWS Lambda). Trigger: \"deploy langchain\", \"langchain production deploy\", \"langchain docker\", \"langchain cloud run\", \"LangServe\".","entity_type":"skill","detail_url":"/skills/jeremylongshore/langchain-deploy-integration/"},{"slug":"Nevaberry/langchain-knowledge-patch","score":0.3952,"name":"langchain-knowledge-patch","category":"AI & Automation","quality_tier":"solid","quality_score":81,"repo_stars":19,"repo_full_name":"Nevaberry/nevaberry-plugins","description":"LangChain","entity_type":"skill","detail_url":"/skills/Nevaberry/langchain-knowledge-patch/"},{"slug":"jeremylongshore/langchain-ci-integration","score":0.3943,"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-webhooks-events","score":0.3936,"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/"}],"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"}}