Agent skill · AI & Agents

Langchain Patterns

LangChain is a framework for building applications powered by LLMs. It helps manage the complexity of prompt chaining, memory, retrieval, agents, and tool use, making it faster to build AI application

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill langchain-patterns-amnadtaowsoam-cerebraskills --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Version: 1.0.0
Path: skills/ai-llm/langchain-patterns-amnadtaowsoam-cerebraskills/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 Patterns ## Skill Profile *(Select at least one profile to enable specific modules)* - [ ] **DevOps** - [x] **Backend** - [ ] **Frontend** - [ ] **AI-RAG** - [ ] **Security Critical** ## Overview LangChain is a framework for building applications powered by LLMs. It helps manage the complexity of prompt chaining, memory, retrieval, agents, and tool use, making it faster to build AI applications. This skill covers basic setup, structured output, RAG (Retrieval-Augmented Generation), conversational memory, agents with tools, streaming, document loaders, LangSmith integration for production monitoring, and production deployment patterns. ## Why This Matters LangChain is essential for production AI applications because: - **Abstraction**: Unified interface for various LLM providers - **Composability**: Chain components together easily - **RAG Ready**: Built-in retrieval and vector store integrations - **Production**: LangSmith for monitoring and debugging - **Ecosystem**: Extensive library of integrations and tools ## Core Concepts & Rules ### 1. Core Principles - Follow established patterns and conventions - Maintain consistency across codebase - Document decisions and tra

What's inside
Steps it walks through
  1. Skill Profile
  2. Overview
  3. Why This Matters
  4. Core Concepts & Rules
  5. 1. Core Principles
  6. 2. Implementation Guidelines
  7. Inputs / Outputs / Contracts
  8. Skill Composition
  9. Quick Start
  10. Assumptions
  11. Compatibility
  12. Test Scenario Matrix (QA Strategy)
  13. Technical Guardrails & Security Threat Model
  14. 1. Security & Privacy (Threat Model)
Ships with 1 file
  • metadata.json
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About this skill
What does the Langchain Patterns skill do?

LangChain is a framework for building applications powered by LLMs. It helps manage the complexity of prompt chaining, memory, retrieval, agents, and tool use, making it faster to build AI application

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill langchain-patterns-amnadtaowsoam-cerebraskills --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.

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