haabe

haabe / mycelium

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38 skills, 12 theory gates, fractal diamonds — product development harness for Claude Code. Discovery to delivery for software, courses, AI tools, and services.

16
3
100% credibility
Found Apr 16, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Mycelium guides AI-assisted product building from idea validation to launch using structured checklists and checkpoints based on proven frameworks.

How It Works

1
🔍 Find a helpful guide

You discover Mycelium on a sharing site while looking for ways to plan your project idea without wasting time.

2
📥 Bring it home

You copy the simple starter files into your project folder with one easy command.

3
💬 Chat with your guide

Open your AI chat helper and say '/interview' to share your project dream.

4
🧠 Uncover the real needs

Your guide asks gentle questions to reveal who it's for and why it matters, creating a clear picture.

5
📊 Check your path

Say '/diamond-assess' anytime to see your progress and what to do next.

6
Hit a checkpoint
All good

Everything checks out, so you keep building confidently.

🔄
Need more info

It kindly points out what's missing, like chatting with real people.

7
🏗️ Build step by step

Follow guided steps to create your project, with reminders to check quality and safety.

🎉 Your project shines

You launch something solid that real people love, with lessons learned for next time.

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Star Growth

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AI-Generated Review

What is mycelium?

Mycelium is a Python-based harness for Claude Code that turns AI agents into structured product builders, guiding from discovery interviews to delivery checklists across software, courses, AI tools, and services. Drop it into any repo with `npx degit haabe/mycelium my-project`, then slash commands like `/interview` or `/diamond-assess` enforce 38 skills via theory gates—ensuring evidence before advancing phases. Unlike mycelium minecraft blocks or mycelium pilz powder, it creates a mycelium network github of validated decisions in git-committed canvas files.

Why is it gaining traction?

It stands out by catching AI's blind spots—like skipping user validation or security—with fractal diamonds and gates drawn from Cynefin, Jobs-to-Be-Done, and OWASP, scaling to project stakes. Developers hook on the self-learning corrections and fan-out orchestration for parallel solution testing, plus seamless upgrades that preserve state. Skills github claude code integration beats copilot cli or vscode plugins by covering "should we build?" not just code gen.

Who should use this?

Solo indie hackers or small teams using Claude Code (skills github anthropic) to prototype SaaS, AI agents, or online courses, especially if you've wasted cycles on unvalidated ideas. Perfect for devs evaluating mycelium wallet github alternatives or building presentation skills theory frameworks, where gates block hollow progress.

Verdict

At 16 stars and 1.0% credibility, it's raw but battle-tested via auto-dogfood scenarios—docs are solid, hooks reliable. Grab it if Claude Code is your stack; skip for copilot vscode loyalists. (187 words)

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