Install
$ agentstack add skill-aravindan20-claude-research-paper-os-figure-generation ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Scientific Figure Generation
Generate publication-quality figures for research papers.
Input
$0— Description of the desired figure$1— (Optional) Path to data file (CSV, JSON, NPY, PKL) or results directory
Scripts
Generate figure template
python ~/.claude/skills/figure-generation/scripts/figure_template.py --type bar --output figure_script.py --name comparison
python ~/.claude/skills/figure-generation/scripts/figure_template.py --list-types
Available types: bar, training-curve, heatmap, ablation, line, scatter, radar, violin, tsne, attention
Three-Phase Pipeline (from MatPlotAgent)
Phase 1: Query Expansion
Expand the user's figure description into step-by-step coding specifications using the prompts in references/figure-prompts.md. Determine: figure type, data mapping (x/y/color/hue), style requirements, paper conventions.
Phase 2: Code Generation with Execution Loop (up to 4 retries)
- Generate a self-contained Python script using the template from
scripts/figure_template.pyas a starting point - Write script to a temp file and execute:
python figure_script.py - If error: capture traceback, feed back, regenerate (see ERROR_PROMPT in references)
- If no
.pngproduced: add explicit save instruction, retry - On success: report the generated figure path
Phase 3: Visual Refinement
Read the generated PNG file and visually inspect using the VLM feedback prompts from references/figure-prompts.md:
- Does the figure type match the request?
- Are labels, titles, and legends correct?
- Is the color scheme appropriate and consistent?
- Are axis scales sensible? Is text readable at publication size?
If improvements needed: generate corrective instructions and re-execute.
References
- All MatPlotAgent prompts:
~/.claude/skills/figure-generation/references/figure-prompts.md - Figure templates:
~/.claude/skills/figure-generation/scripts/figure_template.py
Output
Both PNG (preview, 300 DPI) and PDF (vector, for paper) formats. Plus the LaTeX include code:
\begin{figure}[t]
\centering
\includegraphics[width=\linewidth]{figures/figure_name.pdf}
\caption{Description. Best viewed in color.}
\label{fig:figure_name}
\end{figure}
Quality Requirements
- DPI ≥ 300, or vector PDF
- Colorblind-friendly palette (no red-green only)
- All text ≥ 8pt at print size
- Consistent styling across all paper figures
- No matplotlib default title — use LaTeX caption
Related Skills
- Upstream: [data-analysis](../data-analysis/), [experiment-code](../experiment-code/)
- Downstream: [paper-writing-section](../paper-writing-section/), [paper-compilation](../paper-compilation/), [slide-generation](../slide-generation/)
- See also: [table-generation](../table-generation/)
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ARAVINDAN20
- Source: ARAVINDAN20/Claude-Research-Paper-OS
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.