Lubu-Labs

Lubu-Labs / langchain-agent-skills

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A collection of agent-optimized LangChain, LangGraph and LangSmith skills for AI coding assistants.

78
8
100% credibility
Found Feb 09, 2026 at 31 stars 3x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A curated collection of guides, templates, and scripts to help build, test, deploy, and debug AI agent workflows.

How It Works

1
🔍 Discover helpful guides

You find a collection of friendly guides and ready-made examples for building smart AI helpers that work together smoothly.

2
📋 Pick the right guide

Choose a guide that fits exactly what you need, like setting up a new project or making helpers team up.

3
🚀 Set up your project

Follow the simple steps in the guide to create your AI helper's foundation, feeling excited as it starts taking shape.

4
Add smart features
🤝
Team coordination

Make multiple helpers work together like a team on complex tasks.

🛡️
Fix errors

Add ways to recover from hiccups so your helper keeps going strong.

💾
Track progress

Keep organized notes on what your helper knows and has done.

5
🧪 Test and tweak

Run quick checks and use tools to see how well your helper performs and make it even better.

6
☁️ Launch online

Put your helper on the internet with monitoring so it runs reliably for everyone.

🎉 Your helper shines

Watch your smart AI helper handle tasks perfectly, saving you time and working flawlessly every day.

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AI-Generated Review

What is langchain-agent-skills?

This Python collection delivers agent-optimized skills for LangChain, LangGraph, and LangSmith, tailored for AI coding assistants. It equips you with scripts and templates spanning the full agent lifecycle: project setup, multi-agent patterns, state management, error handling, testing, trace analysis, and production deployment. Paste into Claude Code, Cursor, or Codex CLI via plugin marketplaces for instant use in your workflows.

Why is it gaining traction?

Unlike scattered LangGraph examples, this github collection of repositories offers self-contained, validated skills—like generating supervisor graphs or evaluating traces—that plug directly into AI tools without setup hassle. Developers appreciate the CLI-driven automation for common pain points, from checkpoint inspection to A/B agent comparisons, making langchain deep agent skills accessible fast. It's a practical api collection github for agent skills langchain teams iterating quickly.

Who should use this?

LangGraph builders crafting multi-agent coding assistants or research workflows. AI IDE users in Cursor/Claude needing prompt collection github templates for error recovery and state reducers. Python teams evaluating agents with LangSmith datasets before prod deployment.

Verdict

Worth forking for LangGraph prototyping—scripts deliver real value despite 31 stars and 1.0% credibility score reflecting early stage. Strong docs and extensibility via skill-creator make it a solid accelerator, but add your tests for mission-critical use.

(198 words)

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