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 --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 2 KB
Bundled scripts: none
Version: 4.1.0-fractal
Path: skills/ai-llm/llm-application-dev-langchain-agent/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 ## 🧠 Knowledge

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. 🧠 Knowledge Modules (Fractal Skills)
  8. 1. [LangGraph State Management](./sub-skills/langgraph-state-management.md)
  9. 2. [Model & Embeddings](./sub-skills/model-embeddings.md)
  10. 3. [Advanced RAG Patterns](./sub-skills/advanced-rag-patterns.md)
  11. 5. [Monitoring & Observability](./sub-skills/monitoring-observability.md)
  12. 6. [Optimization Strategies](./sub-skills/optimization-strategies.md)
  13. 7. [State Graph Pattern](./sub-skills/state-graph-pattern.md)
  14. 8. [Async Pattern](./sub-skills/async-pattern.md)
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 --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