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langchain-core-workflow-a

7.0

by jeremylongshore

150Favorites
218Upvotes
0Downvotes

Build LangChain chains and prompts for structured LLM workflows. Use when creating prompt templates, building LCEL chains, or implementing sequential processing pipelines. Trigger with phrases like "langchain chains", "langchain prompts", "LCEL workflow", "langchain pipeline", "prompt template".

langchain

7.0

Rating

0

Installs

AI & LLM

Category

Quick Review

Excellent LangChain skill with comprehensive coverage of LCEL chains, prompt templates, and composition patterns. The description clearly identifies when to use the skill with specific trigger phrases. Task knowledge is strong with complete code examples for sequential, parallel, and branching workflows. Structure is clear and well-organized with prerequisites, step-by-step instructions, error handling, and examples. Novelty is moderate-to-good: while LangChain patterns are documented, having them packaged as an invocable skill with concrete examples reduces token usage for agents building workflows. Minor improvement areas: could benefit from more advanced patterns (streaming, retries) or splitting into separate files if extended, but current scope is appropriately focused.

LLM Signals

Description coverage9
Task knowledge9
Structure8
Novelty7

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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