figure-bake

Automate end-to-end research figure creation with a 3-agent refinement loop.

30|8|Updated May 10, 2026
One-click install
npx skills add https://github.com/youngeun1209/oh-my-claudecode-research --skill figure-bake
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: figure-bake
Source: https://github.com/youngeun1209/oh-my-claudecode-research/tree/main/skills/figure-bake
Command: npx skills add https://github.com/youngeun1209/oh-my-claudecode-research --skill figure-bake

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the tedious, error-prone manual work of designing, coding, reviewing, and formatting research figures for academic manuscripts, saving researchers hours of iterative tweaking and tooling coordination.

Core Features & Use Cases

  • 3-agent iterative refinement loop: Automatically coordinates a figure designer, code implementer, and peer reviewer to iterate on a single figure until it meets publication standards, with no manual coordination required between steps.
  • Dual artifact production: Renders a high-quality vector PDF for manuscript inclusion and a cropped outline-ready PNG for presentations, with automatic cropping to match venue formatting requirements.
  • Resumable state tracking: Tracks all figure state, design briefs, render scripts, and critique history in the figures.json state file, so runs can be safely paused and resumed without losing progress.
  • Use case: If you are writing a biology paper and need a multi-panel figure showing gene expression across treatment conditions, invoke this Skill with the figure ID and it will handle the full workflow from design brief to final cropped artifacts, ready to embed in your manuscript.

Quick Start

Invoke the figure-bake skill with your target figure ID (for example, /figure-bake fig1) to start the automated end-to-end figure creation workflow for that figure.

Frequently Asked Questions about figure-bake

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate research figure creation for academic manuscripts?

You can automate research figure creation by invoking an end-to-end workflow that coordinates a 3-agent loop of figure descriptor, code implementer, and reviewer. It iterates on renders until publication standards are met, tracking resumable state in figures.json.

Can I generate both vector PDF and PNG outputs for multi-panel research figures?

Yes, you can generate dual artifacts from a single design concept: a high-quality vector PDF for manuscript inclusion and a cropped outline-ready PNG for presentations. Automatic cropping matches venue formatting requirements without manual adjustment.

What is the best way to ensure my academic figures use colorblind-safe palettes?

The best way to ensure colorblind-safe palettes is to use an automated figure design workflow that applies precise formatting and accessibility standards during the iterative render loop. This guarantees publication-ready outputs meet colorblind-safe requirements without manual palette checks.

Does this figure automation workflow support pausing and resuming iterative design steps?

Yes, the workflow tracks all figure state, design briefs, render scripts, and critique history in a figures.json state file. Runs can be safely paused and resumed without losing progress across the iterative refinement loop.

How do I create publication-ready vector figures from a single design concept?

Creating publication-ready vector figures from a single design concept requires an automated pipeline that handles design briefs, code implementation, and peer review. It applies colorblind-safe palettes and produces dual PDF/PNG outputs ready for manuscript inclusion.