scientific-figure-making
Covers publication-ready matplotlib figures for academic papers, slides, and reports—bars, trends, scatter, heatmaps, and multi-panel layouts—with this repository’s house style, print/vector export conventions, and parity with figures4papers demos. Use when the user is finalizing or creating such figures in matplotlib. Do not use for interactive dashboards or web viz (Plotly, Altair, Bokeh), exploratory-only plots without a publication target, dominant 3D or geographic mapping, or Illustrator/Figma-first infographic workflows.
How do I install this agent skill?
npx skills add https://github.com/chenliu-1996/figures4papers --skill scientific-figure-makingIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill provides a comprehensive framework for creating publication-quality figures using Matplotlib, including API specifications, design theory, and tutorials. It references the author's own GitHub repository for demonstrations. No malicious patterns or exfiltration behaviors were detected. A low-severity risk of indirect prompt injection exists because the skill is designed to process and visualize external data (e.g., axis labels and category names) without explicit sanitization or boundary markers to prevent the interpretation of data as instructions.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
Scientific figure making
Open references/ only as needed; do not preload every file. Start from the table below, then follow links inside the document you opened (and into figure_* code via references/demos.md) instead of loading the full reference set up front.
When to load this skill
- Matplotlib figures for papers, slides, or reports that must match this repo’s publication look (fonts, palette, spines, legends, export).
- Requests involving grouped bars, trend lines, heatmaps, multi-panel grids, or PDF/SVG/high-DPI output in a scientific-figure context.
- References to figures4papers
figure_*projects or “same style as the repo figures.”
When not to load
- Plotly, Altair, Bokeh, or other interactive / web-first plotting.
- EDA-only plots where seaborn or pandas is enough until there is a publication target.
- Primary workflow is 3D, GIS, or non-matplotlib tooling.
- Illustrator / Figma–first layout or infographic (not matplotlib data plots).
Related files
| File | Open when |
|---|---|
| references/tutorials.md | End-to-end walkthroughs (bar, trends, heatmap) |
| references/api.md | Function signatures, PALETTE, validation rules |
| references/common-patterns.md | Layout patterns, legend panel, print-safe bars |
| references/design-theory.md | Typography, export policy, palette rationale |
| references/demos.md | Canonical figure_* demo links in figures4papers |
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/chenliu-1996/figures4papers/scientific-figure-making">View scientific-figure-making on skillZs</a>