A powerful computational engine for rendering interactive mathematical functions, statistical distributions, and geometric constructions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mathgraphs
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 mathgraphs 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 MathGraphs?
MathGraphs is a sophisticated math and statistics graphing engine designed to bridge the gap between abstract computation and visual understanding. As a premier addition to the library of Openclaw Skills, it allows AI agents to compute and render precise results—including roots, extrema, intersections, and complex regressions—directly on interactive graphs.
Unlike static image generators, this skill provides a live environment where users can zoom, pan, and adjust sliders. Every curve and data point is mathematically computed from the engine rather than being hallucinated, ensuring technical accuracy for educational, scientific, and professional workflows. It supports nine languages, making it a globally accessible tool for data visualization.
MathGraphs Use Cases
- Visualizing complex mathematical functions, parametric equations, and implicit relations.
- Verifying algebraic results by identifying intersections and extrema visually.
- Performing statistical data analysis including histograms and distribution fitting.
- Generating geometric constructions such as triangles, circles, and labeled segments.
- Conducting hypothesis testing with visual representations of rejection regions.
How MathGraphs Works
- The AI agent receives a mathematical or statistical query and identifies the appropriate tool within the Openclaw Skills framework.
- Data points or function expressions are sent to the streamable-http MCP server hosted at mathtalking.com.
- The engine computes precise mathematical properties (like R² values or p-values) and generates a unique visualization state.
- The system returns an interactive URL containing the live, rendered graph.
- The user interacts with the live URL to explore the data, adjust parameters, or further analyze the visualization.
MathGraphs Setup
To integrate MathGraphs into your environment, configure your Openclaw Skills manifest to include the MathTalking MCP server:
# Example server configuration
# URL: https://mathtalking.com/api/mcp
# Transport: streamable-http
Ensure your agent has the necessary permissions to access external MCP endpoints and display interactive URLs to the end user.
MathGraphs Data Schema & Taxonomy
The skill organizes data into specific element types and statistical outputs for clarity and precision:
| Data Category | Supported Types / Metrics |
|---|---|
| Plot Elements | functions (explicit/implicit), points, segments, labels, triangles, boxes |
| Stats Output | mean, median, standard deviation, min/max, quartiles |
| Regressions | linear, quadratic, exponential, power fits (returns R²) |
| Distributions | normal, uniform, exponential fitting |
| Hypothesis | p-values and visual rejection regions |
MathGraphs Advanced Features
- Support for 9 languages (en, zh, ja, ko, es, fr, de, pt-BR) for global localization.
- Multi-agent compatibility via the streamable-http transport protocol.
- Automatic computation of mathematical landmarks (roots, extrema) without manual plotting.
- Interactive slider support for dynamic variable adjustment within the live graph environment.
- High-fidelity statistical validation to prevent AI hallucination of data curves.
SKILL.md
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