langchain-fundamentals▌
langchain-ai/langchain-skills · updated Apr 8, 2026
Build production LangChain agents with create_agent(), tools, and middleware patterns.
- ›Use create_agent() with model, tools list, and system prompt; configure state persistence with checkpointer and thread_id for conversation memory across invocations
- ›Define tools via @tool decorator (Python) or tool() function (TypeScript) with clear descriptions so agents know when to call them
- ›Add middleware like HumanInTheLoopMiddleware for approval workflows, custom error handling, and human-in-
langchain-fundamentals
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Ratings
4.7★★★★★33 reviews- ★★★★★Olivia Martinez· Dec 28, 2024
Registry listing for langchain-fundamentals matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ganesh Mohane· Dec 24, 2024
I recommend langchain-fundamentals for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Anaya Ramirez· Dec 24, 2024
Solid pick for teams standardizing on skills: langchain-fundamentals is focused, and the summary matches what you get after install.
- ★★★★★Noah Torres· Nov 19, 2024
langchain-fundamentals reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Rahul Santra· Nov 15, 2024
langchain-fundamentals fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Anaya Martin· Nov 15, 2024
langchain-fundamentals has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Soo Zhang· Oct 10, 2024
langchain-fundamentals is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Pratham Ware· Oct 6, 2024
langchain-fundamentals has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Anaya Yang· Oct 6, 2024
langchain-fundamentals fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Isabella Ghosh· Sep 25, 2024
langchain-fundamentals has been reliable in day-to-day use. Documentation quality is above average for community skills.
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