langchain-architecture
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.
npx skills add majiayu000/claude-skill-registry --skill langchain-architecture-acgspgp-acgs --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 Architecture Master the LangChain framework for building sophisticated LLM applications with agents, chains, memory, and tool integration. ## When to Use This Skill - Building autonomous AI agents with tool access - Implementing complex multi-step LLM workflows - Managing conversation memory and state - Integrating LLMs with external data sources and APIs - Creating modular, reusable LLM application components - Implementing document processing pipelines - Building production-grade LLM applications ## Core Concepts ### 1. Agents Autonomous systems that use LLMs to decide which actions to take. **Agent Types:** - **ReAct**: Reasoning + Acting in interleaved manner - **OpenAI Functions**: Leverages function calling API - **Structured Chat**: Handles multi-input tools - **Conversational**: Optimized for chat interfaces - **Self-Ask with Search**: Decomposes complex queries ### 2. Chains Sequences of calls to LLMs or other utilities. **Chain Types:** - **LLMChain**: Basic prompt + LLM combination - **SequentialChain**: Multiple chains in sequence - **RouterChain**: Routes inputs to specialized chains - **TransformChain**: Data transformations between steps - **MapReduceChai
- When to Use This Skill
- Core Concepts
- 1. Agents
- 2. Chains
- 3. Memory
- 4. Document Processing
- 5. Callbacks
- Quick Start
- Architecture Patterns
- Pattern 1: RAG with LangChain
- Pattern 2: Custom Agent with Tools
- Pattern 3: Multi-Step Chain
- Memory Management Best Practices
- Choosing the Right Memory Type
What does the langchain-architecture skill do?
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.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langchain-architecture-acgspgp-acgs --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.