WoJiSama

WoJiSama / skill-based-architecture

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A meta-skill that transforms oversized single-file skills and scattered project rules into a clean, modular skills/<name>/ directory — so AI agents read only what they need, every time.

42
3
100% credibility
Found Apr 11, 2026 at 42 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

A set of templates and guides to reorganize scattered project documentation into modular folders, helping AI coding assistants access only relevant rules and workflows efficiently.

How It Works

1
😩 Overwhelmed by messy notes

Your project's instructions, rules, and tips are scattered everywhere, making it hard for AI helpers to find what they need quickly.

2
🕵️‍♀️ Discover the organizer

You find a helpful guide and ready-made templates to neatly sort everything into focused folders.

3
💬 Ask your AI to organize

You simply tell your AI coding helper something like 'organize the project rules,' and it starts creating the clean structure.

4
Choose your path
⚡
Quick tidy-up

Fast copy of basic folders and move key notes into place.

📚
Full makeover

Step-by-step sorting of all rules, steps, and tips into perfect spots.

5
📁 Folders take shape

New folders appear for always-true rules, step-by-step guides, and important tips, with everything in its right place.

6
✏️ Add your details

You review and fill in project-specific notes where needed, keeping it simple and personal.

🎉 Smarter, faster help

Your AI helper now reads only the right info for each task, works quicker, avoids old mistakes, and keeps everything fresh.

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Star Growth

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AI-Generated Review

What is skill-based-architecture?

This Shell-based meta-skill on GitHub transforms oversized single-file skills and scattered project rules into a clean, modular skills// directory for AI agents. It routes agents to read only what they need per task—core rules always, plus task-specific workflows or references—cutting token waste in tools like Cursor, Claude Code, and Codex. Developers trigger it with phrases like "organize project rules," and it scaffolds the structure using copy-paste templates.

Why is it gaining traction?

It stands out by enforcing skill-based architecture with two-layer routing (always-read files plus task-specific ones) and thin entry points that survive context compression, unlike bloated docs that slow agents. Built-in after-action reviews capture lessons via a recording threshold, keeping rules lean and reusable across agents. Quick-start scaffolds and 8-phase migrations make adoption painless for scattered rules.

Who should use this?

Backend devs on Java/Spring or Python CLI projects where rules sprawl across AGENTS.md and CLAUDE.md files. Frontend teams with React/Next.js facing duplicated conventions in .cursor/rules. Any dev with mid-sized repos (150+ doc lines) using AI agents, needing modular docs that agents actually follow without repeating mistakes.

Verdict

Worth cloning for projects with messy agent docs—detailed guides and tool compatibility deliver immediate value despite 42 stars and 1.0% credibility score. Still early; test on a non-critical repo first, as maturity lags adoption potential.

(198 words)

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