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LLM applications with LangChain v1.0.0

Use this resource to build an LLM application with chains, agents and RAG in LangChain

New

  • 505 downloads
  • 250 likes
  • 179 saves

Free

Install with the CLI

In a terminal, from the folder you want:

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

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 composes LCEL chains, prompt templates, agents and RAG pipelines with LangChain, wiring in Claude or OpenAI. You get structured LLM application code, with conversation history handled.

Mostly picked by

Updated November 2, 2026

Card for the “LLM applications with LangChain” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md : LCEL concepts, components and examples with Claude and OpenAI
  • metadata.json : skill metadata

Good fit for

  • You add an assistant that answers from your documents
  • You chain several model calls in one flow

Not for

    Tags

    • langchain
    • llm
    • rag

    About

    You say

    “Create a LangChain chain that summarizes an article, then extracts three key points from it.”

    Card for the “LLM applications with LangChain” skill

    Skill published by bobmatnyc 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 chains, agents and RAG in LangChain
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • metadata.json1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md23.4 KB

    Origin and licence

    Listed unmodified

    Author
    bobmatnyc
    Source
    github.com/bobmatnyc/claude-mpm-skills/tree/718070a7d622921b01687799a1f9613f36c6f615/toolchains/ai/frameworks/langchain
    Licence
    MIT

    Notice

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

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