Individual skill
langchain-core-workflow
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plugins/saas-packs/langchain-py-pack/skills/langchain-core-workflow/SKILL.md
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- 2,917
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- License
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- langchain Declared skill tag
- langgraph Declared skill tag
- python Declared skill tag
- langchain-1.0 Declared skill tag
- lcel Declared skill tag
- runnables Declared skill tag
- rag Declared skill tag
- engineering Derived category
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SKILL.mdcore · 17,446 bytesSKILL.mdcore · 17,446 bytesSKILL.mdcore · 17,446 bytesSKILL.mdcore · 17,446 bytesSKILL.mdcore · 17,446 bytesSKILL.mdcore · 17,446 bytesSKILL.mdcore · 17,446 bytesSKILL.mdcore · 17,446 bytesreferences/branch-routing-patterns.mddoc · 5,590 bytesreferences/debug-probes.mddoc · 5,920 bytesreferences/one-pager.mddoc · 3,244 bytesreferences/parallel-vs-sequential.mddoc · 5,236 bytesreferences/passthrough-assign-patterns.mddoc · 6,219 bytes
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# 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()
)