zhu1090093659

AI writes code. You still have to think. Four skills that force you to do it.

17
1
100% credibility
Found Apr 19, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

Growth provides a set of question-based prompts for AI coding assistants designed to force users to develop their own judgment, taste, intent clarity, and abstraction skills rather than receiving direct answers.

How It Works

1
🔍 Discover Growth

You stumble upon this GitHub project promising to train your brain for sharper coding thinking using your favorite AI helper.

2
📖 Explore the Idea

You read friendly stories and examples that show how it slows you down to ask tough questions about your code's quality and design.

3
Pick Your Setup Path
🖥️
Cursor User

Run a simple setup script in your project to add the thinking rules.

🤖
Claude User

Add it easily from the built-in marketplace inside Claude.

💫
Other Tools

Use the quick install for tools like Codex or Gemini with one command.

4
💻 Jump into Your Project

Open your coding work in your AI tool, now supercharged with growth prompts.

5
🧠 Launch a Thinking Workout

Ask your AI to run a skill like 'taste-audit' on your code, and it hits you with questions that make you really examine your work.

6
Dig Deep and Answer

You take time to reflect on the challenging questions, uncovering blind spots in your ideas.

🚀 Become a Sharper Thinker

After a few sessions, your own judgment, taste, and code sense grow stronger, and you outgrow the need for the prompts.

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AI-Generated Review

What is growth?

Growth installs four thinking prompts—taste-audit, intent-refine, judgment-redteam, and abstraction-uplift—into AI coding tools like Claude Code, Cursor, Codex CLI, and Gemini CLI via simple shell scripts. Unlike typical AI that spits out code, it slows you down with Socratic questions to sharpen your judgment, clarify intent, and refine abstractions before you commit. In the AI era, where tools handle syntax, this builds irreplaceable skills like taste and decision-making, embracing a growth mindset over instant productivity.

Why is it gaining traction?

It flips the script on AI code gen: no answers, just mirrors that challenge lazy thinking, standing out from advisor-style skills like nuwa-skill. Developers hook on real sessions where the AI pushes back—"Is this line showable to someone you admire?"—forcing growth in judgment without sycophancy. With MIT license and cross-platform installs, it's a quick experiment for anyone tracking github growth chart or star growth github.

Who should use this?

Mid-to-senior devs on Claude or Cursor auditing designs, refining fuzzy specs, or red-teaming decisions before implementation. Architects questioning abstractions in legacy refactors, or growth marketers prototyping tools who want intent clarity without AI hallucinations. Skip if you're a junior chasing github growth rate via copy-paste code.

Verdict

Worth a 5-minute install for Claude/Cursor users serious about growth mindset deutsch-style self-improvement, despite 17 stars and 1.0% credibility score signaling v0.1 rawness. Battle-test the prompts yourself—feedback shapes v0.2—but don't rely on it forever; the goal is outgrowing it.

(178 words)

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