langchain-core-workflow
Compose LangChain 1.0 chains with RunnableParallel, RunnableBranch,\n\ RunnablePassthrough.assign, and RunnableLambda \u2014 correct input/output shapes,\n\ debug probes, and typed composition that catches dict-shape bugs before\ninvocation.\ \ Use when wiring multi-step chains, parallel retrievals,\nconditional routing,\ \ or threading state through a chain for RAG,\nclassification, or extraction pipelines.\n\ Trigger with \"runnable parallel\", \"runnable branch\", \"langchain rag\ncomposition\"\ , \"passthrough assign\", \"langchain lcel\", \"runnable lambda\",\n\"debug probe\"\ .\n"
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-core-workflow --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LangChain Core Workflow (Python) ## Overview An engineer wires a four-stage LCEL chain: classify the question, retrieve context, format the prompt, invoke the LLM. It looks clean: ```python chain = ( RunnablePassthrough.assign(category=classifier) | RunnablePassthrough.assign(docs=retriever) | prompt | llm | StrOutputParser() ) chain.invoke({"question": "What's our refund policy?"}) ``` The call
What does the langchain-core-workflow skill do?
Compose LangChain 1.0 chains with RunnableParallel, RunnableBranch,\n\ RunnablePassthrough.assign, and RunnableLambda \u2014 correct input/output shapes,\n\ debug probes, and typed composition that catches dict-shape bugs before\ninvocation.\ \ Use when wiring multi-step chains, parallel retrievals,\nconditional routing,\ \ or threading state through a chain for RAG,\nclassification, or extraction pipelines.\n\ Trigger with \"runnable parallel\", \"runnable branch\", \"langchain rag\ncomposition\"\ , \"passthrough assign\", \"langchain lcel\", \"runnable lambda\",\n\"debug probe\"\ .\n"
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-core-workflow --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 jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 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.