Install Math Figure Generator
Pick your agent. Every command is ready to paste.
npx skills add zhnnky329/MathModeling-skills --skill math-figure-generatorThe open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.
01
Install it
Run the command above, or upload the folder in Claude.
02
Ask naturally
Describe the task. Your agent loads math-figure-generator when the request matches its description.
03
Name it if needed
If it does not trigger, say “use the math-figure-generator skill”. In Codex, type $math-figure-generator.
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.mdreferences/color-systems.mdreferences/layout-guide.mdreferences/render-check.md
Workflow
- Verify source files and the exact variables/units to plot.
- Choose the smallest chart form that communicates the claim.
- Generate with deterministic code, preferably matplotlib.
- Save editable source code and the requested output format.
- Apply the shared color, typography, sizing, and labeling conventions.
- Render the final output and inspect it visually.
- Check clipping, overlap, illegible text, misleading axes, legends, empty panels, and source/claim mismatch.
- 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.
Tips for Math Figure Generator
- • Start a fresh session after installing so your agent picks up the new skill.
- • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
- • It is part of a pack with 29 skills. Install only the ones you need with --skill to keep triggers precise.
- • If two skills overlap, mention the one you want by name.
Questions about Math Figure Generator
What does the Math Figure Generator 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.
How do I install Math Figure Generator?
Run "npx skills add zhnnky329/MathModeling-skills --skill math-figure-generator" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.
Does Math Figure Generator work in Cursor and Codex?
Yes. Math Figure Generator uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.
Is Math Figure Generator free?
Math Figure Generator is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.
Who made Math Figure Generator?
Math Figure Generator is published by zhnnky329 in the zhnnky329/MathModeling-skills repository, together with 28 other skills.




