langchain
Framework for building applications with large language models and chains.
npx skills add majiayu000/claude-skill-registry --skill langchain-alphaonedev-openclaw-graph --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.
# langchain ## Purpose LangChain is a Python framework for developing applications that integrate large language models (LLMs) into workflows, enabling the creation of chains that combine multiple LLMs or tools for tasks like question answering or data processing. ## When to Use Use LangChain when building AI-powered apps that require chaining LLMs, such as integrating multiple models for complex queries, or when you need to handle external data sources with LLMs. Apply it for rapid prototyping of AI agents, like chatbots that fetch real-time data, or for ML operations in aimlops clusters where scalable LLM workflows are needed. ## Key Capabilities - **Chain Building**: Create sequences of LLMs using classes like `LLMChain`; for example, combine a prompt template with an LLM call. - **Tool Integration**: Supports integrations with APIs like OpenAI via `OpenAI` class; handle vector stores with `FAISS` for semantic search. - **Prompt Management**: Use `PromptTemplate` to define and render prompts dynamically, e.g., with variables for user input. - **Agent Frameworks**: Build agents with tools using `AgentType.ZERO_SHOT_REACT`, allowing dynamic tool selection based on LLM output. - **
- Purpose
- When to Use
- Key Capabilities
- Usage Patterns
- Common Commands/API
- Integration Notes
- Error Handling
- Concrete Usage Examples
- Graph Relationships
What does the langchain skill do?
Framework for building applications with large language models and chains.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langchain-alphaonedev-openclaw-graph --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.