aristotle-first-principles

Decompose complex problems into irreducible truths and rebuild solutions from scratch.

6|1|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/kouko/monkey-skills --skill aristotle-first-principles
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aristotle-first-principles
Source: https://github.com/kouko/monkey-skills/tree/main/philosophers-toolkit/skills/aristotle-first-principles
Command: npx skills add https://github.com/kouko/monkey-skills --skill aristotle-first-principles

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Decompose problems into irreducible truths and rebuild solutions from scratch to avoid relying on analogy, convention, or inherited biases.

Core Features & Use Cases

  • Five-Phase Decomposition: Problem Essence, Challenge Assumptions, Establish Ground Truths, Reason Upward, Validate Reasoning.
  • Explicit evidence and justification: demand evidence for every assumption and separate outcomes from solutions.
  • Domain-agnostic guidance: suitable for strategy, design, engineering, and any complex problem requiring rigorous reasoning.

Quick Start

Begin with Phase 1 to define the outcome, then proceed through Phases 2–5 to derive a ground-truth–based solution.

Frequently Asked Questions about aristotle-first-principles

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is first-principles thinking and how does it help with complex problem-solving?

First-principles thinking is a problem-solving method that decomposes complex issues into irreducible ground truths and rebuilds solutions from zero, avoiding analogy or convention to ensure traceable, evidence-based reasoning.

How do I decompose a problem into ground truths for critical thinking?

To decompose a problem into ground truths, progress through five phases: define the problem essence, challenge assumptions, establish 3–5 irreducible truths, reason upward, and validate the reasoning with explicit evidence.

Does first-principles reasoning work for strategy and engineering design tasks?

First-principles reasoning is domain-agnostic and works for strategy, design, engineering, and any complex situation where conventional wisdom may mislead and rigorous critical thinking is required.

What's the best way to avoid analogy and convention when reasoning through a complex problem?

The best way to avoid analogy and convention is to enforce phase decomposition, demand evidence for every assumption, separate outcomes from solutions, and maintain minimal, justified complexity in your reasoning.

How many ground truths do I need to establish when rebuilding a solution from scratch?

You need to establish 3–5 ground truths when rebuilding a solution from scratch, ensuring each truth is irreducible and supported by explicit evidence to maintain minimal, justified complexity.

When should I not use first-principles decomposition for problem-solving?

You should avoid first-principles decomposition when a problem requires a rapid analogy-based fix or lacks the necessary evidence to challenge assumptions and establish irreducible truths for traceable reasoning.