About this skill
Create, revise, or audit academic figures for CS/AI/ML papers. Two paths: architecture figure prompting (tool-agnostic structured prompts) and data figure code generation (publication-ready Python scripts with matplotlib/seaborn). Use when: generating model architecture diagram prompts, creating publication-quality data plots from experiment results, auditing existing figures for publication standards, suggesting figure types for paper sections, revising figure colors/layouts/labels. Triggers on: 绘图, figure, chart, 画图, 实验图, 训练曲线, 消融实验, 对比图, 混淆矩阵, 架构图, model architecture, plot, publication figure, 数据可视化, generate plot, architecture diagram.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: c27d4257fbcac3c6fe4a6a80c56b410e02e9e33410821df70e687f4480ce6933
About this listing
- Category
- Science & research
- Reported license
- MIT
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.