Skills tagged: langchain

• langsmith-fetch - Debug LangChain and LangGraph agents using LangSmith Studio

  langsmithdebugginglangchainlanggraph

  ★ 602 · Updated 2026-09-23

  Fetches execution traces from LangSmith Studio to debug LangChain and LangGraph agents.

  ⚙ Fetch recent execution traces⚙ Inspect specific trace details⚙ Export debug session files
• cncf-langchain-reviewer - Review and operate LangChain code and deployments

  cncflangchaindevsecopssdlc

  ★ 1 · Updated 2026-09-21

  Reviews LangChain code, configuration, security, dependencies, and deployment state based on official docs and repository evidence.

  ⚙ Detect installed LangChain versions⚙ Review LangChain configurations and APIs⚙ Trace inputs and trust boundaries
• langchain - Build LLM applications using LangChain.

  langchainlcelragagent

  ★ 76 · Updated 2026-09-20

  Build LLM applications using LCEL chains, RAG pipelines, and LangGraph agents.

  ⚙ Build LCEL chains⚙ Implement RAG pipelines⚙ Create LangGraph agents
• llm-application-dev-langchain-agent - LangChain & LangGraph Agent Development Expert

  langchainlanggraphagentrag

  ★ 0 · Updated 2026-09-19

  Provides architecture guidance and implementations for production-grade AI agents using LangChain 0.1+ and LangGraph.

  ⚙ Design LangGraph state graphs⚙ Implement async RAG pipelines⚙ Configure agent memory systems
• langgraph - Framework for building stateful multi-actor AI agents

  langgraphlangchainai-agentsstate-graph

  ★ 0 · Updated 2026-09-18

  LangGraph builds stateful multi-actor AI applications using graph structures, persistence, conditional routing, and ReAct agent patterns.

  ⚙ Construct state graphs⚙ Manage state with reducers⚙ Define nodes and edges
• langgraph - Framework for stateful multi-actor AI applications

  langgraphlangchainai-agentsstate-graph

  ★ 0 · Updated 2026-09-18

  Builds stateful multi-actor AI applications using graph construction, state management, checkpointers, and human-in-the-loop patterns.

  ⚙ Construct state graphs⚙ Manage state using reducers⚙ Define graph nodes and edges
• provider-integration-templates - OpenRouter framework integration templates and setup scripts

  openroutervercel-ai-sdklangchainopenai-sdk

  ★ 1 · Updated 2026-09-18

  Provides integration templates, setup scripts, and examples for integrating OpenRouter with Vercel AI SDK, LangChain, and OpenAI SDK.

  ⚙ Automate framework setup and installation⚙ Provide provider integration templates⚙ Provide complete implementation examples
• langchain-agent - Scaffold a basic LangChain/LangGraph ReAct agent

  langchainlanggraphreact-agentscaffolding

  ★ 1 · Updated 2026-09-15

  Generates a LangGraph ReAct agent scaffold with a tool, configured for OpenAI-compatible endpoints.

  ⚙ Scaffold LangGraph ReAct agent⚙ Generate agent.py file⚙ Generate requirements.txt file
• veadk-skills - Generate or convert VeADK Agent code based on requirements

  veadkagentcode-generationlangchain

  ★ 14 · Updated 2026-09-10

  Generates VeADK Agent code based on user requirements or converts existing LangChain, LangGraph, and Dify workflows into VeADK Agent code.

  ⚙ Generate VeADK Agent code⚙ Convert LangChain or LangGraph code⚙ Convert Dify workflow DSL
• langchain - Build AI agent workflows and RAG pipelines with LangChain.

  langchainpythonragagent

  ★ 18 · Updated 2026-09-09

  Provides conventions and patterns for building LLM orchestration, agents, RAG pipelines, tools, memory, and callbacks in Python.

  ⚙ Build agents tools and chains⚙ Create RAG pipelines⚙ Attach memory to chains
• framework-selection - Select the appropriate framework for agent projects

  framework-selectionlangchainlanggraphdeep-agents

  ★ 2 · Updated 2026-09-09

  Determines the appropriate framework layer among LangChain, LangGraph, and Deep Agents before writing project code.

  ⚙ Evaluate task framework requirements⚙ Determine appropriate architecture layer⚙ Recommend follow-up agent skills
• langchain - Build LLM agents and RAG pipelines with LangChain

  langchainpythonragagent

  ★ 2 · Updated 2026-09-09

  Provides conventions and patterns for building LLM workflows, RAG pipelines, tools, memory, and deployments with LangChain in Python.

  ⚙ Build LLM agents and chains⚙ Create custom tools⚙ Implement RAG pipelines
• langchain-core-workflow-a - LangChain Core Workflow A: Chains & Prompts

  langchainlcelpromptschains

  ★ 2,781 · Updated 2026-09-09

  Build LangChain chains and prompts for structured LLM workflows.

  ⚙ Create prompt templates⚙ Build LCEL chains⚙ Compose sequential and parallel chains
• graphrag-patterns - GraphRAG Implementation Patterns for Neo4j

  graphragneo4jtext2cypherhybrid-search

  ★ 18 · Updated 2026-09-09

  Provides GraphRAG implementation patterns including hybrid search, Text2Cypher, agentic retrieval, and RAGAS evaluation for Neo4j.

  ⚙ Create hybrid retrievers⚙ Generate Cypher queries with few-shot⚙ Route queries to retrieval strategies
• langchain-multi-env-setup - LangChain Multi-Environment Configuration Setup

  langchainconfigurationmulti-environmentdeployment

  ★ 1 · Updated 2026-05-11

  Configure and manage LangChain applications across dev, staging, and production environments

  ⚙ create base configuration⚙ create environment overrides⚙ load configuration files
• langchain-multi-env-setup - Configure LangChain Multi-Environment Setup

  configurationdeploymentenvironmentslangchain

  ★ 2 · Updated 2026-05-11

  Configure and manage LangChain applications across development, staging, and production environments.

  ⚙ create base configuration⚙ create environment overrides⚙ load configuration files
• langchain-multi-env-setup - LangChain Multi-Environment Setup

  configurationmulti-environmentlangchaindeployment

  ★ 0 · Updated 2026-05-11

  Configure LangChain applications across development, staging, and production environments.

  ⚙ create config structure⚙ load environment config⚙ merge config files
• framework-selection - Select the right LangChain framework layer

  decision-supportframework-selectionlangchainlanggraph

  ★ 18 · Updated 2026-03-26

  Determines which framework layer fits the task: LangChain, LangGraph, Deep Agents, or a combination

  ⚙ evaluate task requirements⚙ compare framework capabilities⚙ recommend framework layer
• langchain-enterprise-rbac - LangChain Enterprise RBAC with Multi-Tenant Control

  rbaclangchainsecurityauthentication

  ★ 2,781 · Updated 2026-03-26

  Implement role-based access control for multi-tenant LangChain applications with permission models and usage tracking.

  ⚙ enforce permissions⚙ manage user roles⚙ control model access
• langchain-agents - Build LangChain Agents with Tools

  langchainagentsllmtools

  ★ 57 · Updated 2026-03-23

  Expert guidance for building LangChain agents with tool binding, memory, and configuration

  ⚙ build LangChain agents⚙ configure model settings⚙ set up tool integrations

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