Agent skill · AI & Agents

llm-application-dev-langchain-agent

You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill llm-application-dev-langchain-agent-mudassarabrar-sage-gemini-li --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/ai-llm/llm-application-dev-langchain-agent-mudassarabrar-sage-gemini-li/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/LangGraph Agent Development Expert You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph. ## Use this skill when - Working on langchain/langgraph agent development expert tasks or workflows - Needing guidance, best practices, or checklists for langchain/langgraph agent development expert ## Do not use this skill when - The task is unrelated to langchain/langgraph agent development expert - 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`. ## Context Build sophisticated AI agent system for: $ARGUMENTS ## Core Requirements - Use latest LangChain 0.1+ and LangGraph APIs - Implement async patterns throughout - Include comprehensive error handling and fallbacks - Integrate LangSmith for observability - Design for scalability and production deployment - Implement security best practices - Optimize for cost efficiency ## Essential Architecture ### LangGraph St

What's inside
Steps it walks through
  1. Use this skill when
  2. Do not use this skill when
  3. Instructions
  4. Context
  5. Core Requirements
  6. Essential Architecture
  7. LangGraph State Management
  8. Model & Embeddings
  9. Agent Types
  10. Memory Systems
  11. RAG Pipeline
  12. Advanced RAG Patterns
  13. Tools & Integration
  14. Production Deployment
Ships with 1 file
  • metadata.json
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About this skill
What does the llm-application-dev-langchain-agent skill do?

You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill llm-application-dev-langchain-agent-mudassarabrar-sage-gemini-li --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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