kissrosecicd-hub

Optimized AGENTS.md system instructions for AI CLI/IDE agents. Token-efficient (Caveman ~75%), skills, subagent orchestration, security checks. Drop-in config for Qwen, Claude, Codex, Cursor и других.

10
0
69% credibility
Found Apr 07, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
PowerShell
AI Summary

This repository offers configuration files and an installer to guide AI coding agents with reusable skills, note-taking, code explanations, and subagent coordination for consistent behavior across tools.

How It Works

1
🔍 Hear about smarter AI helper

You learn about a simple way to make your AI coding assistant think better, explain code clearly, and handle tasks more efficiently across any tool you use.

2
📥 Grab the setup pack

You download the easy setup files from the sharing site to get started right away.

3
🚀 Run the one-click installer

With a single command, it places the helpful rules and examples in your personal folder, setting everything up in seconds without any hassle.

4
💬 Chat with your AI

Open your favorite AI chat and say 'follow the new rules' – it instantly picks up the guidelines and starts working smarter.

5
🧠 Use special skills

Ask it to explain tricky code simply, create notes from your ideas, or even call in helper assistants for big jobs, feeling the speed and smarts kick in.

🎉 AI becomes your pro teammate

Now your AI saves time everywhere, remembers your style, organizes thoughts perfectly, and boosts your coding flow like a trusted expert sidekick.

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AI-Generated Review

What is agents-evolution?

Agents-evolution delivers drop-in configs that supercharge AI agents in CLI tools and IDEs like Qwen, Claude, Codex, and Cursor, turning them into evolutionary AI coding agents with token-efficient communication, reusable skills, and subagent orchestration. Drop it in your home directory via a one-liner PowerShell or bash install, and your agents gain security checks before commits or deploys, vendor dir ignores, and a notes system for session learnings. Developers get consistent behavior across tools without per-project tweaks.

Why is it gaining traction?

It slashes token use by 75% via compressed comms while adding smart features like auto-spawning subagents for audits or tests, and pre-action scans that catch secrets or config issues—stuff no basic prompt setup handles. The hook is cross-tool compatibility and growing skills ecosystem, letting agents evolve from solo workers to orchestrated teams without vendor lock-in. Early adopters praise faster workflows in agent-heavy setups.

Who should use this?

Backend devs chaining AI for code reviews, tests, and refactors in terminal-heavy flows; AI tinkerers building custom subagents for security audits or docs; or full-stack teams using Cursor/Claude who hate token waste on verbose models. Skip if you're not running agentic CLIs daily.

Verdict

Worth a quick install for agent users—solid docs and tests show promise despite 10 stars and 0.7% credibility score signaling early-stage maturity. Test in a side project; it'll evolve your agents if subagent swarms fit your stack.

(178 words)

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