
Paper Illustration via Codex Image2
Draft publication-style academic figures by routing image generation through a local Codex bridge
- Stars
- 18,482
- Licence
- MIT
- Files
- 2 files
What it does
This skill guides an AI agent through making a scientific paper figure. Claude plans the layout and wording, reviews the draft against academic style rules, and asks a local Codex app-server bridge to render the image using Codex's native image generation. It loops through several review rounds, scoring each draft, and saves the output under figures/ai_generated/ in your project. It is an experimental alternative to the original paper-illustration skill.
Great for
- Researchers who want a quick draft of a method or pipeline diagram for a paper
- Claude Code users already running a local Codex MCP bridge who want to compare renderers
- Students preparing figure drafts that they will then redraw or polish by hand
Skip it if
- Final camera-ready figures that need exact data accuracy, since generated images can contain wrong labels or arrows and must be checked manually
- Users without a local Codex app-server setup, because the skill cannot render images without that bridge
- Sensitive or unpublished methods shared with external services, because prompts and drafts pass through the Codex and reviewer tools
Try asking
- “Draw a system overview figure for my method described in method.md, in CVPR style”
- “Create a pipeline diagram with three encoder stages and labelled arrows for my paper”
- “Iterate on the existing figure in figures/ai_generated and tighten the labels”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 2 original files, the MIT licence and an attribution note.
paper-illustration-image2.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip paper-illustration-image2.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip paper-illustration-image2.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Give a clear text description of components, labels and data flow so the planner has concrete input
- Check every generated figure for correct text, arrows and numbers before using it in a paper
- Keep the Codex bridge and reviewer backends configured locally; review what prompts are sent to external services
What's inside
- scripts/paper_illustration_image2.py
- SKILL.md
Redistributed unmodified from wanshuiyin/Auto-claude-code-research-in-sleep under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.