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LangChain runnable chain composition v1.0.0

Use this resource to compose LangChain chains with parallel steps, routing and shared state

New

  • 393 downloads
  • 220 likes
  • 159 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install langchain-runnable-chain-composition

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 writes the chains for your RAG or classification pipeline: parallel retrievals, conditional routing, state threading with assign and debug probes. It checks dictionary shapes before invocation.

Mostly picked by

Updated November 2, 2026

Card for the “LangChain runnable chain composition” skill

Details

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

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What you get

  • SKILL.md : composition steps, parallelism, routing and state
  • references/parallel-vs-sequential.md : choosing parallel or sequential
  • references/debug-probes.md : debug probes

Good fit for

  • You combine dense vector search with BM25 retrieval
  • Your chain must route each question to the right handler

Not for

    Tags

    • langchain
    • lcel
    • rag
    • runnables

    About

    You say

    “Compose a LangChain chain that searches two indexes in parallel, then routes the question by category.”

    Card for the “LangChain runnable chain composition” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> 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 compose LangChain chains with parallel steps, routing and shared state
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/branch-routing-patterns.md5.6 KB
    • references/debug-probes.md6 KB
    • references/one-pager.md3.2 KB
    • references/parallel-vs-sequential.md5.3 KB
    • references/passthrough-assign-patterns.md6.2 KB
    • SKILL.md17.4 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/.curated/langchain-core-workflow
    Licence
    MIT

    Notice

    « langchain-core-workflow » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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