fanqingxuan

fanqingxuan / awesome-skills

Public

热门skills推荐,包括编程以及非编程等各种热门实用的skill

agent-skills ai-agent claude-code claude-skills codex
15
0
100% credibility
Found Mar 09, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

A curated collection of practical Go code examples demonstrating Eino, a framework for building AI agents and LLM workflows.

How It Works

1
📚 Discover AI Assistant Recipes

You stumble upon a treasure chest of ready-made recipes for creating helpful AI assistants that can chat, research, or solve tasks.

2
🔍 Browse Simple Examples

Pick an easy recipe like a friendly hello assistant or weather checker to see what smart helpers look like in action.

3
✨ Run Your First Assistant

Follow the friendly guide to mix the ingredients and watch your very first AI buddy come alive, chatting back right away.

4
🛠️ Try Team Helpers

Experiment with group recipes where multiple smart helpers team up, like one researches while another writes reports.

5
Add Your Twist
🔧
Tweak Existing

Adjust a ready helper to fit your daily chores perfectly.

🎨
Create Custom

Mix new ideas using teamwork or step-by-step plans for unique tasks.

6
🌐 Share Your Creation

Put your polished assistant online so friends or family can chat with it anytime.

🎉 Smart Helper Ready!

Celebrate as your personal AI team handles questions, plans trips, or crunches numbers effortlessly.

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Star Growth

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AI-Generated Review

What is awesome-skills?

This Go-based repo curates practical examples for building LLM applications using the Eino framework, focusing on agent patterns like human-in-the-loop approvals, multi-agent supervisors, and plan-execute-replan workflows. It solves the gap between abstract LLM docs and real-world deployment by providing runnable demos for tasks like ticket booking agents, trip planners, and data analysis pipelines. Developers get copy-paste starters for OpenAI/Claude-compatible chat models, tool calling, streaming, and interrupt/resume flows.

Why is it gaining traction?

Unlike generic awesome ai skills github lists, it delivers Eino-specific patterns like deep agents and graph-based orchestration that integrate seamlessly with Go services—perfect for production-grade AI without Python overhead. The hook is the human-in-the-loop examples (approval, review-edit, follow-up) that make agents reliable for sensitive ops like fund transfers or bookings. Awesome claude skills github users appreciate the Claude model support and Coze-loop tracing for debugging complex chains.

Who should use this?

Backend Go devs prototyping AI agents for customer service bots, travel planners, or financial advisors needing multi-agent coordination. Ideal for teams building awesome cloud skills github tools where human oversight prevents errors in tool calls or planning. Suited for full-stack engineers tired of LangChain's JS bloat wanting Go-native ReAct loops and workflows.

Verdict

Grab the examples if you're evaluating Eino for Go LLM apps—they're polished and accelerate agent dev despite the repo's 1.0% credibility score from low stars (14). Maturity lags official CloudWeGo/Eino repos in docs depth, but the patterns shine for awesome skills to learn in AI agent building. Solid starter, fork for your stack. (198 words)

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