An AI-powered skill for building interactive, browser-runnable algorithm teaching platforms and educational comparison pages.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skills-of-algorithm-learning-platform-builder
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install skills-of-algorithm-learning-platform-builder using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Algorithm Learning Platform Builder is a specialized set of Openclaw Skills designed to bridge the gap between abstract mathematical formulas and functional educational tools. It enables developers and educators to synthesize core value propositions into structured, interactive browser-runnable pages. By focusing on teaching patterns rather than just raw code, it ensures that algorithms are explained through intuition, rigorous derivations, and concrete numerical substitutions.
This skill is particularly effective for creating study tools, course modules, or internal developer documentation where clarity is paramount. It standardizes the lifecycle of algorithm explanation by integrating visual components like charts and interactive sliders, making the learning process highly actionable and engaging.
To start using these Openclaw Skills, ensure your environment is configured for agent-based skill execution. You can add the builder to your project using the following command:
# Install the skill to your local environment
openclaw install algorithm-learning-platform-builder
Ensure your agent has access to the provided references and assets folders to utilize the pre-built HTML templates and architectural rules.
| Feature | Specification |
|---|---|
| Output Format | Single-file runnable HTML or structured Markdown planning documents. |
| Formula Structure | Four-layer explanation: Formula, Symbols, Purpose, and Substitution. |
| Visualization | Integration with Chart.js for loss curves, score bars, and radar charts. |
| Interaction | Dynamic UI elements including range sliders, dropdowns, and execution steppers. |
| Maturity Levels | Taxonomy-based tracking of page complexity from concept to platform mode. |
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