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Llm Application Dev Langchain Agent

This one gives Claude expertise in building production LangChain agents with LangGraph state management. It's opinionated about the stack: Claude Sonnet 4.5 for the LLM, Voyage AI embeddings (the officially recommended option), and LangSmith for observability. You get async patterns throughout, multi-agent orchestration with supervisors, hybrid memory systems, and RAG pipelines with reranking. The source includes actual FastAPI deployment code, streaming responses, retry logic, and cost optimization strategies. It's comprehensive enough that you could spin up a production agent system without digging through docs. Best for when you're building real agent applications that need to handle scale and monitoring, not just prototyping in notebooks.

skills.sh installs
306
GitHub stars
39.4K
last updated
Jun 3, 2026

Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill llm-application-dev-langchain-agent --agent claude-code

Installs into .claude/skills of the current project.

Files

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.

Context

Build sophisticated AI agent system for: $ARGUMENTS

Core Requirements

  • Choose and pin compatible LangChain/LangGraph/provider versions; do not mix legacy and v1 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

Sponsors

Details

Repository
github.com/sickn33/antigravity-awesome-skills
Category
AI & Agent Building
First seen
Jun 3, 2026

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