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human-avatar / skills-for-humanity

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Structured reasoning methodologies from history's most rigorous thinkers, packaged as Claude Code skills.

claude-code claude-code-plugin cognitive-frameworks creativity decision-making
16
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89% credibility
Found May 26, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Skills for Humanity is a collection of 171 structured thinking methods drawn from history's most rigorous thinkers—philosophers, strategists, psychologists, and logicians. It packages their methodologies as interactive tools that help you make better decisions, think more clearly, and approach problems systematically. You simply describe your situation, and the system routes you to the right thinking method. Each method then guides you through a structured process: asking the right questions, testing your assumptions, and producing a clear verdict. The collection covers everything from logical reasoning and probability analysis to creativity techniques, ethical frameworks, and strategic planning.

How It Works

1
đź’ˇ You discover a thinking toolkit

Someone tells you about a collection of 171 thinking methods from history's greatest minds, all in one place.

2
⚡ You add it to your assistant

With one simple command, the thinking methods become available whenever you need them.

3
🎯 You describe your situation

You type a single command and explain what's on your mind—no need to figure out which method to use.

4
🧭 The right thinking tool finds you

The system recognizes your situation and routes you to the exact methodology that fits—whether it's logic, creativity, ethics, or strategy.

5
You choose how deep to go
⚡
Quick check

Fast answer when you need clarity now

🔍
Thorough analysis

Deep dive for important decisions

🏛️
Full council

Multiple advisors debate your situation

6
🗺️ You follow a proven path

The method guides you through structured questions and prompts, like having a thinking coach walk you through each step.

✨ You think more clearly

You catch blind spots, test your assumptions, and arrive at decisions with more confidence and less stress.

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AI-Generated Review

What is skills-for-humanity?

Skills-for-humanity is a library of 171 structured reasoning skills packaged as Claude Code commands. Each skill implements a specific thinking methodology from rigorous sources—de Bono, Tetlock, Kahneman, Meadows, and others—transforming abstract frameworks into executable procedures. Install via npm, then invoke `/think` in Claude Code to route any problem to the right methodology automatically.

Why is it gaining traction?

The hook is precision: instead of asking an LLM to "think harder," you give it a specific cognitive tool calibrated to your problem type. Need to check an argument for logical fallacies? Run `/logic-check`. Facing a decision with unclear trade-offs? `/decision-criteria-weighting` runs a structured multi-criteria analysis. The skills pause to ask how deep you want to go, then produce structured output rather than rambling prose. For developers using LLMs for serious work—architecture decisions, stakeholder communication, ethical reviews—these skills impose the rigor that raw prompting rarely achieves.

Who should use this?

Technical leads making architecture decisions who want to stress-test reasoning before committing. Developers writing technical documentation or executive summaries who need structured output. Product managers navigating stakeholder dynamics who want frameworks for coalition mapping or objection anticipation. Anyone using Claude Code for tasks beyond boilerplate generation—situations where the quality of reasoning directly impacts outcomes.

Verdict

This is a genuinely useful concept with a credibility score of 0.9% and only 16 stars—early-stage but well-documented. The methodology sourcing is credible (named thinkers, not vibes), and the structured output approach addresses a real pain point in LLM-assisted work. At this maturity level, treat it as a promising experiment worth trying on your next non-trivial task, but validate outputs before betting critical decisions on them.

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