langchain-tools
LangChain framework utilities for chains, agents, and RAG
npx skills add majiayu000/claude-skill-registry --skill langchain-tools --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
The skill provides configuration utilities and template generation for LangChain framework components, including chains, agents, RAG systems, and LangSmith tracing integration. It focuses on setting up configurations and generating templates rather than executing chains directly.
How it works
- It describes how to install Python dependencies:
pip install langchain langchain-community langchain-openaiand optional ones likeopenai,chromadb,faiss-cpu,pinecone-client,pypdf,docx2txt, andlangsmith. - It includes a set of Tools organized by category (Chain Utilities, Agent Utilities, Document Loaders, Vector Stores, Embeddings, LangSmith) with command-like examples such as
list-chain-types,chain-template,validate-chain,list-tools,loader-config,vectorstore-config,embedding-config,trace-details, etc. - It provides quick reference code blocks demonstrating how to construct LangChain components (e.g., LLMChain, RetrievalQA) and how to configure agents with tools, loaders, and vector stores.
- It documents environment variables for LangSmith tracing and a chain configuration template example under
# Chain Configuration Templatethat shows creating a class with methods to produce an LLM and a chain. - It outlines an integration pattern between design (LLM Architect) and implementation (Developer) roles for a RAG system using LangChain components.
When to use it
Use this skill when you need to configure LangChain components, generate configuration/templates for chains and agents, enable LangSmith tracing, or set up document loaders, vector stores, and embeddings for LangChain-based pipelines. It explicitly notes that the skill helps configure components rather than running them directly.
What it can touch
- Tools listed under the Quick Reference sections (e.g.,
list-chain-types,chain-template,validate-chain,list-tools,loader-config,vectorstore-config,embedding-config,list-traces,trace-details,list-datasets). - Python code examples and templates for LangChain components.
Caveats
- Requires Python dependencies as specified; optional dependencies depend on use case.
- The skill is for configuration and scaffolding, not execution of chains.
- Environment variables for LangSmith tracing may be needed for tracing features.
# LangChain Tools Skill ## Overview The LangChain Tools skill provides configuration utilities and template generation for LangChain framework components, including chains, agents, RAG systems, and LangSmith tracing integration. **Context Savings**: 90%+ reduction vs raw documentation by providing focused, task-specific interfaces to LangChain configurations. **Use Cases**: - Chain configuration and template generation - Agent setup and tool integration - Document loader configuration - Vector store setup - Embedding provider configuration - LangSmith tracing and evaluation **Important**: This skill helps configure LangChain components, not run them directly. Actual chain execution happens in application code. ## Requirements **Python Dependencies**: ```bash pip install langchain langchain-community langchain-openai ``` **Optional Dependencies** (based on use case): ```bash # For OpenAI models pip install openai # For vector stores pip install chromadb faiss-cpu pinecone-client # For document loaders pip install pypdf docx2txt # For LangSmith tracing pip install langsmith ``` **Installation Verification**: ```bash python -c "import langchain; print(langchain.__version__)" ``` ## To
- Overview
- Requirements
- Tools (Progressive Disclosure)
- Chain Utilities
- Agent Utilities
- Document Loaders
- Vector Stores
- Embeddings
- LangSmith (Tracing)
- Quick Reference
- Chain Types
- Create Basic LLM Chain
- Agent Types
- Create ReAct Agent
pip install langchain langchain-community langchain-openai For OpenAI models pip install openai For vector stores pip install chromadb faiss-cpu pinecone-client For document loaders pip install pypdf docx2txt For LangSmith tracing pip install langsmith python -c "import langchain; print(langchain.__version__)"
What does the langchain-tools skill do?
LangChain framework utilities for chains, agents, and RAG
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langchain-tools --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.