scientific-figure-generator

Skill for generating publication-quality scientific figures

509 stars

Best use case

scientific-figure-generator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Skill for generating publication-quality scientific figures

Teams using scientific-figure-generator should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/scientific-figure-generator/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/scientific-discovery/skills/scientific-figure-generator/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/scientific-figure-generator/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How scientific-figure-generator Compares

Feature / Agentscientific-figure-generatorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Skill for generating publication-quality scientific figures

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Scientific Figure Generator Skill

## Purpose

Generate publication-quality scientific figures following journal standards and best practices for data visualization.

## Capabilities

- Create statistical plots
- Generate multi-panel figures
- Apply journal formatting
- Export in multiple formats
- Ensure accessibility
- Add annotations

## Usage Guidelines

1. Prepare data
2. Select visualization type
3. Apply styling
4. Add annotations
5. Check accessibility
6. Export figure

## Process Integration

Works within scientific discovery workflows for:
- Manuscript preparation
- Presentation creation
- Data communication
- Results visualization

## Configuration

- Journal style guides
- Color schemes
- Resolution settings
- Export formats

## Output Artifacts

- Publication figures
- Multi-panel layouts
- Vector graphics
- Figure legends

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