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Math Figure Generator

CommunityPopular
zhnnky329
math-figure-generator

Generate and render-verify publication-quality mathematical-modeling figures from saved evidence, using the approved figure plan, source data, claim, type, and consistent visual system.

Overview

Publisherzhnnky329
RepositoryMathModeling-skills
Skill namemath-figure-generator
Stars
1.1K
Forks
42
Bundled files
4
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zhnnky329 on GitHub. Read the source before you install it.

Installation

Install the Math Figure Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/math-figure-generator
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zhnnky329/MathModeling-skills.git /tmp/MathModeling-skills
mkdir -p .claude/skills
cp -r /tmp/MathModeling-skills/.claude/skills/math-figure-generator .claude/skills/math-figure-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Math Figure Generator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Math Figure Generator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Math Figure Generator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Preconditions

  • Figure type, source artifacts, and target claim are known.
  • Type 3 claim is human-confirmed.
  • Submission figures use final/frozen evidence.

References

Load only what the requested chart needs:

  • references/chart-patterns.md
  • references/color-systems.md
  • references/layout-guide.md
  • references/render-check.md

Workflow

  1. Verify source files and the exact variables/units to plot.
  2. Choose the smallest chart form that communicates the claim.
  3. Generate with deterministic code, preferably matplotlib.
  4. Save editable source code and the requested output format.
  5. Apply the shared color, typography, sizing, and labeling conventions.
  6. Render the final output and inspect it visually.
  7. Check clipping, overlap, illegible text, misleading axes, legends, empty panels, and source/claim mismatch.
  8. Iterate until render checks pass.

Output Locations

  • Type 1/2 exploration: results/Qx/experiments/roundN/figures/
  • Type 3/4 submission: paper/figures/

Use stable descriptive filenames. Do not copy Type 1 diagnostics into the paper directory.

Figure Requirements

  • Labels include units where applicable.
  • Captions state what is shown and the evidence-backed takeaway without overstating causality.
  • Baseline is visually distinct but not exaggerated.
  • Uncertainty is shown when it is part of the claim.
  • Type 3 raster output is at least 300 dpi; vector output is preferred when compatible.
  • Accessibility and grayscale differentiation are considered.

Rules

  • Do not fabricate or manually alter plotted values.
  • Do not use a chart type that hides concentration, uncertainty, or negative results.
  • Do not truncate axes misleadingly.
  • Do not create decorative 3D effects.
  • Do not treat code execution as render verification.
  • Keep diagnostic and paper roles separate.

Verification

  • Source, claim, type, and target section agree.
  • Render inspection passed.
  • Text is readable at final paper size.
  • Legends, colors, markers, axes, units, and captions are consistent.
  • Final output path exists and is recorded in the figure plan.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Math Figure Generator AI skill do?

Generate and render-verify publication-quality mathematical-modeling figures from saved evidence, using the approved figure plan, source data, claim, type, and consistent visual system.

Why use Math Figure Generator on TypingMind?

Because you install it once and use it with any model. Math Figure Generator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Math Figure Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/math-figure-generator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Math Figure Generator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Math Figure Generator?

As many as you like. As long as a model supports skills, you can use Math Figure Generator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Math Figure Generator AI skill free?

Yes. It is published on GitHub by zhnnky329 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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