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LLM applications with LangChain and LCEL v1.0.0

Use this resource to build an LLM application with LangChain

New

  • 340 downloads
  • 197 likes
  • 114 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install langchain-llm-apps-2

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent assembles LCEL chains, adds streaming, structured output, tools and an agent, then a RAG path with document loading and splitting. You get a LangChain application ready to test.

Mostly picked by

Updated November 2, 2026

Card for the “LLM applications with LangChain and LCEL” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: LCEL chains, streaming and structured output
  • SKILL.md: RAG chain, tools, agents, document loading and splitting

Good fit for

  • You chain several model calls with shared tools
  • You are building an agent that uses tools

Not for

    Tags

    • langchain
    • lcel
    • agents
    • rag

    About

    You say

    “Create a LangChain chain with Claude that extracts the name, email and sentiment from a customer message.”

    Card for the “LLM applications with LangChain and LCEL” skill

    Skill published by claude-dev-suite under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to build an LLM application with LangChain
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md5.2 KB

    Origin and licence

    Listed unmodified

    Author
    claude-dev-suite
    Source
    github.com/claude-dev-suite/claude-dev-suite/tree/e10ab644ba43abe2abc923399226df4af7337214/skills/ai-integration/langchain
    Licence
    MIT

    Notice

    « langchain » (claude-dev-suite, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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