xuanhieu2611

xuanhieu2611 / build-your-own-agents-skill

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Build AI agents using the same architecture patterns as Claude Code. Skill + 6 examples + runnable Python code. No framework.

agent agent-skills agentic-ai ai-agents claude-code
10
1
100% credibility
Found Apr 05, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Mermaid
AI Summary

This repository shares guides, examples, and starter code to help everyday builders create reliable AI agents using proven patterns from advanced systems.

How It Works

1
🕵️ Discover the guide

You stumble upon this friendly guide while searching for simple ways to create smart AI helpers for your work or hobbies.

2
📖 Browse ready examples

Check out everyday examples like a marketing post drafter or customer support helper to spark ideas for your own needs.

3
🚀 Launch your first agent

Pick a matching example, set it up on your computer in minutes, connect an AI thinking service, and give it a real task to try.

4
👀 Watch it come alive

See your agent smartly loop through steps like researching, creating drafts, and pausing for your approval before finishing.

5
🔧 Make it your own

Easily adjust the agent by swapping in your specific tools or tasks, keeping the smart safety features intact.

🎉 Enjoy your smart assistant

Celebrate having a reliable AI sidekick that handles complex jobs safely, just like professional ones, ready for daily use.

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AI-Generated Review

What is build-your-own-agents-skill?

This repo distills architecture patterns from production AI agents like Claude Code into a framework-free toolkit for building your own agents with Python and Anthropic API. You get a production checklist, two installable skills for AI coding tools, six domain examples (like marketing or devops), and one fully runnable agent you can clone, tweak, and run in minutes via simple bash commands. It solves the gap between naive one-shot scripts and reliable loops with tools, permissions, state, and observability.

Why is it gaining traction?

Unlike bloated frameworks, it packs Claude-inspired patterns—controller loops, tool schemas, human-in-the-loop approvals, session compaction—into copy-paste skills for Cursor, Claude, or ChatGPT, letting you build agents with OpenAI or Anthropic without reverse-engineering. Developers dig the 5-minute clone-and-run demo and Mermaid diagrams clarifying agent flows, plus free patterns for building agents on Cloudflare or with Ollama. Low barrier hooks indie hackers building GitHub Actions or Azure DevOps agents.

Who should use this?

AI builders crafting custom agents for support triage, incident response, or code reviews; Cursor users designing production agents with safety hooks; dev teams prototyping marketing or research agents before scaling to Azure AI Foundry. Ideal for solo devs or small teams skipping heavy libs to build GitHub Copilot-style agents fast.

Verdict

Grab it if you're prototyping agents—strong docs and one runnable example make it instantly useful despite 10 stars and 1.0% credibility score signaling early maturity. Test the marketing agent first; expand if the patterns fit your stack, but expect to add tests for prod.

(198 words)

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