A professional 10-step workflow for AI agents to convert physics problems into interactive, calculation-backed HTML Canvas animations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install physics-animation-workflow
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install physics-animation-workflow 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 Animation Workflow?
The Physics Animation Workflow is a comprehensive technical framework designed to help AI coding agents bridge the gap between theoretical physics and interactive web visualization. By leveraging Openclaw Skills, developers can implement a structured process that combines precise vectorization with rigorous mathematical modeling. The skill focuses on the mutual dependency between vector graphics—which establish the visual framework and coordinate systems—and physics calculations, which dictate the high-fidelity motion details of the simulation.
Physics Animation Workflow Use Cases
- Creating interactive simulations for electromagnetic field problems and particle trajectories.
- Visualizing complex multi-stage mechanics problems for educational or technical demonstrations.
- Transforming static textbook physics diagrams into dynamic, browser-based animations.
- Generating precise motion models where velocity and displacement must be calculated over time.
How Physics Animation Workflow Works
- Element Identification: The agent analyzes the physics problem to identify objects like springs, slopes, or charged particles.
- Verification Loop: A confirmation step ensures the AI has correctly interpreted all physical components and field properties.
- Coordinate Calibration: Establishing the HTML Canvas dimensions, origin point, and the specific pixel-to-unit scale.
- Vector Generation: Creating the static background and environmental field markers using HTML Canvas API.
- Physics Modeling: Defining the motion equations and partitioning complex movements into chronological stages.
- Dynamic Animation: Implementing the calculation-based animation loop that updates object positions based on physics laws.
- Final Delivery: Exporting a standalone HTML file that runs natively in any modern browser.
Physics Animation Workflow Setup
To deploy this skill within your environment using Openclaw Skills, you can reference the workflow in your agent configuration or copy the skill definition to your local repository.
# Example of organizing the skill in your local agent directory
mkdir -p .agent/skills/
cp physics-animation-workflow.md .agent/skills/
Ensure your development environment supports HTML5 Canvas and JavaScript for rendering the resulting animations.
Physics Animation Workflow Data Schema & Taxonomy
The workflow utilizes a structured data approach to maintain consistency between the physical model and the visual output.
| Component | Data Type | Description |
|---|---|---|
| Elements | List | Identification of all objects and field types (E-field, B-field) |
| Coordinate System | Object | Defines origin, scale (px/unit), and Canvas boundaries |
| Animation Stages | Array | Sequence of motion phases with specific physics triggers |
| Physics Formulas | JS Functions | Implementation of motion laws for real-time trajectory updates |
| Output | File | Single-file HTML/JS Canvas application |
Physics Animation Workflow Advanced Features
- Coordinate Transformation Engine: Automatically converts Y-up mathematical coordinates to Y-down Canvas coordinates.
- Precise Trajectory Rendering: Support for quantitative calculations to ensure animations reflect real-world physics values.
- Multi-Stage Workflow Partitioning: Handles complex motion by breaking sequences into manageable chronological segments.
- Interactive Verification Gates: Built-in checkpoints that ensure the vector framework and physics model are validated before final code generation.
SKILL.md
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