bio-figure-design

SkillMedia

Once added, your AI can design and refine biological figures for biomedical work. This makes research results easier to present and explain. The skill comes from a curated collection of skills for biomedical research, covering areas such as genomics, proteomics, and protein design.

Available today. Use it from your connected AI after setup.

Add the skill, then describe the figure you need or share one you want improved. Your AI will handle the design work from there.

Then ask your AI: use the bio-figure-design skill

What your AI can do with it

  • Design figures for biomedical research topics
  • Turn research results into clear visuals
  • Improve the clarity and layout of existing figures

What this skill tells your AI

The instructions your AI receives, as published by biotender-max/awesome-bio-agent-skills in skills/bioclaw/bio-figure-design/SKILL.md and read by ahel’s review.

Step 6: Figure design (Figure 详细设计)

Design the manuscript figures panel by panel, including the figure logic, panel content, and caption intent.

Purpose

  1. Design Figure 1 as the method / framework overview
  2. Design Figures 2-N as task-driven application figures
  3. Plan supplementary figures
  4. Draft figure captions
  5. Keep figure logic synchronized with manuscript claims

Input Format

topic: [research topic]
task_system: [task system]
dataset_catalog: [dataset catalog]
metric_system: [metric system]
analysis_system: [analysis system]
target_journal: [optional, default nat-communications]

Workflow

Step 6.1: Design Figure 1

Figure 1 should explain the overall method and paper framing:

  • Panel a: method / model overview
  • Panel b: data or modality overview
  • Panel c: task overview
  • Panel d: metric overview
  • Panel e: analysis overview

The goal is to make the full manuscript logic visible in one figure.

Step 6.2: Design Figures 2-N

Each application figure should be task-first:

  • one major task per figure
  • panel a: data flow / experimental setup
  • panels b-d: quantitative evaluation
  • panel e or later: qualitative / biological validation

This keeps the paper organized around claims rather than around plots.

Step 6.3: Supplementary figures

Use supplementary figures for:

  • ablations
  • robustness checks
  • extra markers
  • extended datasets
  • alternative parameter settings

Step 6.4: Caption planning

Every figure should have a caption plan that explains:

  • what each panel shows
  • what claim it supports
  • what dataset it uses
  • what metric or biological conclusion it demonstrates

Output Format

# Figure Designs

## Figure 1: Framework Overview
- Panel a:
- Panel b:
- Panel c:
- Panel d:
- Panel e:
- Caption intent:

## Figure 2: [Task 1]
- Panel a:
- Panel b:
- Panel c:
- Panel d:
- Panel e:
- Caption intent:

## Figure 3: [Task 2]
...

## Supplementary Figures
- Supplementary Figure 1:
- Supplementary Figure 2:

## Design Notes
- visual consistency
- panel ordering logic
- expected take-home message per figure

## Next Step
- Use the figure plan to draft manuscript text in Step 7

Figure Design Principles

  1. One main claim per figure
  2. Quantitative evidence should appear before broad interpretation
  3. Biological validation should be visible, not hidden
  4. Reviewer-facing clarity matters more than decorative complexity
  5. Figure order should match the manuscript story

Usage

/bio-figure-design "topic: spatial multi-omics integration | task_system: [...] | dataset_catalog: [...] | metric_system: [...] | analysis_system: [...] | target_journal: nat-communications"

Notes

  1. Keep Figure 1 conceptual and clean.
  2. For application figures, tie every panel to a concrete task and metric.
  3. Do not overload a figure if a supplementary figure can carry the extra material.

Signals

GitHub stars
178
Forks
32
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
bio-figure-design
Source
github.com/biotender-max/awesome-bio-agent-skills