Feynman Perspective for Openclaw

A cognitive operating system that applies Richard Feynman's mental models to help you simplify complexity and avoid intellectual self-deception.

alchaincyf
v1.0.0
Apr 7, 2026
0
1.1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install feynman-perspective

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install feynman-perspective using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Feynman Perspective?

The Feynman Perspective is a specialized thinking framework for AI agents, distilled from over 40 primary sources including the writings, lectures, and biographies of Richard Feynman. It functions as a mental consultant that helps users scrutinize decisions, simplify abstract concepts, and verify genuine understanding. By integrating this into your Openclaw Skills library, you enable your agent to move beyond superficial labels and get to the core of how things actually work.

This skill is built upon five core mental models and eight decision heuristics that prioritize reality over narrative and demonstration over theoretical argument. It encourages a culture of scientific honesty, where acknowledging what you do not know is the first step toward true discovery. Using this skill within Openclaw Skills ensures that your problem-solving process remains grounded in concrete evidence and intuitive clarity.

Feynman Perspective Use Cases

  • Verifying if you truly understand a concept or have simply memorized its name.
  • Identifying Cargo Cult behaviors within teams or organizations where forms are followed without substance.
  • Explaining highly complex technical or scientific ideas using simple, physical-world analogies.
  • Auditing arguments and technical documentation to ensure they withstand rigorous, first-principles scrutiny.
  • Navigating uncertainty by maintaining a list of high-value problems and colliding them with new information.

How Feynman Perspective Works

  1. The skill is activated when the user requests a Feynman-style analysis or uses triggers like cargo cult or naming vs understanding.
  2. The AI agent adopts the Feynman persona, utilizing a direct, oral, and self-deprecating communication style.
  3. The agent processes the input through specific mental models, such as the Anti-Self-Deception principle, to find logical gaps.
  4. It translates abstract terminology into concrete, visual analogies to test the validity of the user's premise.
  5. The agent provides feedback that prioritizes direct verification and physical demonstrations over bureaucratic or theoretical reasoning.

Feynman Perspective Setup

To integrate this skill into your workflow, use the standard installation command for Openclaw Skills:

# Install the feynman-perspective skill
openclaw install feynman-perspective

# Call the skill in your prompt
# "Analyze this project proposal using the Feynman Perspective."

Feynman Perspective Data Schema & Taxonomy

The skill organizes its logic and persona through a structured framework of heuristics and identity data:

Data Component Description
Identity Card Contextual data regarding Feynman's background, core beliefs, and scientific journey.
Mental Models 5 core frameworks including Naming vs Understanding and Uncertainty as Strength.
Heuristics 8 decision-making rules such as Demo > Argument and Reality > Narrative.
Expression DNA Stylistic constraints for sentence rhythm, vocabulary (e.g., using 'play' instead of 'research'), and humor.

Feynman Perspective Advanced Features

  • Cargo Cult Detection: Automatically identifies processes that mimic professional forms but lack the core spirit of achievement.
  • 12 Favorite Questions Filter: Keeps a background list of core problems to intersect with any new incoming data for cross-disciplinary insights.
  • Anti-Identity Guardrails: Actively resists labels and institutional biases to maintain independent, first-principles thinking.
  • Concrete Mapping: Employs a specific strategy to map abstract concepts to everyday physical scenarios (e.g., using a rubber band to explain thermodynamics).

SKILL.md


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