Agent Skill
Academic Plotting skill
academic-plottingOrchestra-Research/AI-Research-SKILLs20-ml-paper-writing/academic-plotting/SKILL.md
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.
always on
67 tokname + description
once used
5,308 tokSKILL.md body
bundled files
339 KB
repo stars
14kGitHub
Install the Academic Plotting skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/Orchestra-Research/AI-Research-SKILLs --skill academic-plotting
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/Orchestra-Research/AI-Research-SKILLs.git /tmp/AI-Research-SKILLs mkdir -p ~/.claude/skills cp -R /tmp/AI-Research-SKILLs/20-ml-paper-writing/academic-plotting ~/.claude/skills/academic-plotting
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 67 tok |
| When the agent uses it | The SKILL.md instructions | 5,308 tok |
| Only if opened | 3 bundled files (39 KB) | varies |
Until it is used, academic-plotting costs about 20× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 98 skills from Orchestra-Research/AI-Research-SKILLs would load 6,174 tokens of descriptions. Skills vs MCP study
Checks
- The instructions are over 5,000 tokens, the Agent Skills specification's guideline for SKILL.md.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- Academic Plotting for ML Papers
- When to Use Which Workflow
- Step 0: Context Analysis & Extraction
- Extraction Workflow
- Auto-Detection Examples
- Workflow 1: Architecture & System Diagrams (AI Image Generation)
- Visual Styles
- Curated Color Palettes
- Checklist
- Prompt Structure (6 Sections)
- Generation Script Template
- Key Rules
- Workflow 2: Data-Driven Charts (matplotlib/seaborn)
- Checklist
- Chart Type Decision Guide
- Publication Styling Template
- Common Chart Patterns
- Publication Style Quick Reference
- Common Issues
- When to Use vs Alternatives
- Quick Reference: File Naming Convention
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