Physics for Openclaw

An intelligent physics assistant for Openclaw Skills that provides multi-level support ranging from intuitive analogies to rigorous formal derivations.

ivangdavila
v1.0.0
Feb 11, 2026
2
2.2k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install physics

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 physics 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 Physics?

The Physics skill is a specialized module for Openclaw Skills designed to assist users at every stage of their scientific journey. It functions as a versatile tutor and research partner, capable of translating complex physical phenomena into understandable mental models or high-level mathematical proofs. By detecting the user's expertise level through context and vocabulary, the skill ensures that explanations are never too simplistic for experts nor too overwhelming for beginners.

At its core, this skill prioritizes physical intuition and dimensional consistency. It bridges the gap between observation and equation, making it an indispensable tool for Openclaw Skills users who need to solve problems in mechanics, thermodynamics, quantum physics, and beyond. Whether you are debugging a simulation, studying for an exam, or conducting frontier research, this skill provides the rigor and clarity required for scientific accuracy.

Physics Use Cases

  • Explaining complex concepts like relativity or entropy using everyday analogies for beginners.
  • Solving structured academic problems with step-by-step algebraic derivations and unit verification.
  • Performing Fermi estimates and order-of-magnitude calculations for rapid research validation.
  • Designing classroom demonstrations and conceptual assessments for educators.
  • Verifying the dimensional sanity and physical limits of technical models or code.

How Physics Works

  1. The skill analyzes the input context to determine the appropriate level of mathematical and conceptual rigor required.
  2. For new concepts, it establishes a physical picture and intuitive understanding before introducing formal notation.
  3. It applies a systematic problem-solving framework, identifying known variables, coordinate systems, and conservation laws.
  4. It performs rigorous dimensional analysis to ensure all equations and results are physically consistent.
  5. The skill concludes by stating all assumptions, idealizations, and the specific regime of validity for the provided answer.

Physics Setup

To deploy the Physics skill within your Openclaw Skills environment, ensure your system meets the OS requirements (Linux, macOS, or Windows) and follow these installation steps:

# Install the physics skill via the clawdbot CLI
clawdbot add physics

# Initialize the skill to start assisting with derivations
clawdbot enable physics

Physics Data Schema & Taxonomy

The Physics skill organizes its output and internal logic based on the user's profile and the complexity of the request:

Level Focus Key Metadata
Beginner Intuition & Observations Common Misconceptions, Analogies
Student Rigor & Frameworks Dimensional Analysis, Coordinate Systems
Researcher Precision & Honesty Epistemic Status, Validity Regimes, Fermi Estimates
Teacher Instructional Support Demonstration Ideas, Assessment Scenarios

Physics Advanced Features

  • Adaptive level detection that shifts vocabulary and mathematical complexity based on user feedback.
  • Proactive misconception hunting to identify and correct common errors like 'force keeps things moving.'
  • Cross-curriculum mapping that connects current problems to advanced topics like QFT or Lagrangian mechanics.
  • Error propagation analysis for laboratory data, distinguishing between systematic and random uncertainties.
  • Sanity check protocols that verify if numerical magnitudes make physical sense in a real-world context.

SKILL.md


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