HoangTheQuyen

HoangTheQuyen / think-better

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The Operating System for Clear Thinking & Better Decisions

thinkbetter.dev ai ai-skills ai-tools antigravity claude
55
10
100% credibility
Found Mar 11, 2026 at 44 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Think Better is an open-source tool that enhances AI assistants with decision-making frameworks, problem-solving methodologies, cognitive bias detection, and structured analysis triggered by everyday language.

How It Works

1
🔍 Discover Think Better

You hear about Think Better, a helpful tool that makes your AI smarter at decisions and problem-solving.

2
📥 Download and Install

Grab the ready-to-use version with a simple one-click download that works on your computer.

3
🤖 Connect Your AI Helper

Tell it which AI you use, like your chat buddy, and it adds special thinking skills in seconds.

4
💬 Chat Naturally

In your AI conversation, just describe your dilemma like 'Should I switch jobs?' and it springs into action.

5
📊 Get Structured Guidance

Your AI instantly delivers a clear plan, warns about thinking traps, and builds charts or lists to compare options.

6
📝 Save and Track Progress

Everything gets saved as neat notes or journals so you can review and learn from your choices later.

🎉 Make Smarter Choices

Now your decisions are faster, clearer, and better, turning endless loops into confident action.

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Star Growth

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AI-Generated Review

What is think-better?

Think-better is a Go CLI tool that installs AI "skills" into assistants like Claude, GitHub Copilot, or Antigravity, turning casual chats into structured decision engines. Describe a dilemma like "new job or stay?" and it auto-classifies the problem, pulls frameworks like weighted matrices or pre-mortems, flags biases like sunk cost, and spits out plans, journals, or comparison tables. It's positioned as a GitHub operating system for clear thinking, embedding 10+ frameworks, 12 biases, and decomposition methods via simple `think-better init --ai claude`.

Why is it gaining traction?

It skips vague AI responses by triggering on phrases like "should I" or "root cause," injecting searchable knowledge bases for instant rigor—no manual prompting needed. Developers love the persistence: plans save to `decision-plans/`, journals track outcomes in `.decisions/`, and matrices handle multi-option compares. Stands out from raw Copilot/Claude by making elite consulting playbooks (MECE trees, hypothesis-driven) feel native, like operating system concepts baked into your workflow.

Who should use this?

Staff engineers debugging prod issues ("API latency spiked"), PMs picking stacks (React vs Vue), or indie devs weighing pivots (startup vs corp). Ideal for solo thinkers or small teams hitting decision loops in GitHub operating system projects, operating system labs, or operating system courses where structured output beats rambling.

Verdict

Grab it if you chat with AI daily—installs in seconds, delivers value out the gate despite 32 stars and 1.0% credibility signaling early days. Solid README and tests, but watch for Python deps and skill expansion; MIT license invites forks. Worth starring for operating systems three easy pieces fans seeking better decisions.

(187 words)

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