multi-panel-figure-assembler

Automatically assemble 6 sub-figures (A-F) into a high-resolution composite figure with aligned edges, unified fonts, and labels.

Install with Tessl CLI

npx tessl i github:aipoch/medical-research-skills --skill multi-panel-figure-assembler

What are skills?

Review — 57%

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Validation — 10 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

Evaluation results

100%

35%

Composite Figure Assembly for Publication

CLI figure assembly defaults

Criteria

Without context

With context

Script invocation

100%

Six inputs provided

100%

PIL/Pillow used

100%

2x3 layout

100%

DPI at least 300

100%

Panel labels A-F

100%

Topleft label position

100%

Default padding 10px

100%

Default border 2px

100%

PNG output

100%

Without context: $0.6375 · 2m 17s · 36 turns · 39 in / 7,531 out tokens

With context: $0.4044 · 1m 4s · 21 turns · 5,153 in / 3,017 out tokens

92%

22%

High-Resolution Figure Assembly for Print Journal

Programmatic assembly with custom layout and DPI

Criteria

Without context

With context

FigureAssembler class used

100%

3x2 layout specified

66%

100%

600 DPI specified

100%

Label size 36

23%

38%

DPI metadata in output

100%

PIL/Pillow used

100%

Uniform panel dimensions

100%

LANCZOS resampling

100%

Without context: $1.0739 · 4m 31s · 53 turns · 60 in / 12,741 out tokens

With context: $0.6541 · 1m 46s · 30 turns · 2,436 in / 5,681 out tokens

100%

10%

Dark-Theme Conference Poster Figure

Custom styling parameters

Criteria

Without context

With context

scripts/main.py invoked

100%

Hex background color

100%

White label color

100%

Bottom-right label position

100%

20px padding

100%

4px border

100%

Output file produced

100%

Without context: $0.7372 · 3m 5s · 41 turns · 95 in / 9,972 out tokens

With context: $0.5809 · 1m 36s · 28 turns · 5,437 in / 4,816 out tokens

Evaluated: 1 day ago
Agent: Claude Code

Table of Contents

Composite Figure Assembly for Publication High-Resolution Figure Assembly for Print Journal Dark-Theme Conference Poster Figure

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