Agent skill · AI & Agents

langchain-architecture

Master the LangChain framework for building sophisticated LLM applications with agents, chains, memory, and tool integration.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill langchain-architecture-sickn33-antigravity-awesome --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/ai-llm/langchain-architecture-sickn33-antigravity-awesome/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# LangChain Architecture Master the LangChain framework for building sophisticated LLM applications with agents, chains, memory, and tool integration. ## Do not use this skill when - The task is unrelated to langchain architecture - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. ## Use this skill when - 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**: Optimiz

What's inside
Steps it walks through
  1. Do not use this skill when
  2. Instructions
  3. Use this skill when
  4. Core Concepts
  5. 1. Agents
  6. 2. Chains
  7. 3. Memory
  8. 4. Document Processing
  9. 5. Callbacks
  10. Quick Start
  11. Architecture Patterns
  12. Pattern 1: RAG with LangChain
  13. Pattern 2: Custom Agent with Tools
  14. Pattern 3: Multi-Step Chain
Ships with 1 file
  • metadata.json
More from claude-skill-registry
All skills →
About this skill
What does the langchain-architecture skill do?

Master the LangChain framework for building sophisticated LLM applications with agents, chains, memory, and tool integration.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill langchain-architecture-sickn33-antigravity-awesome --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.

Keep going