Individual skill

figure-composer

Compose one publication-grade multi-panel figure. Start from a one-line claim plus immutable data Artifact Version references, or inspect an existing figure and draft its outline directly. Plan a 12-column panel outline, delegate one worker per panel, compose and inspect the result, then run at most three adversarial review rounds while regenerating only affected panels. For a standalone plot use `figure-style`; for whole-paper figure ordering use `paper-narrative`.

resources/skills/figure-composer/SKILL.md

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Last checked: Nov 3, 2026

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Repository stars (not skill ratings): 5,494
Repository last updated: Nov 8, 2026
License: Apache-2.0

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ai-for-science Repository topic
local-first Repository topic
reproducible-research Repository topic
open-science Repository topic
ai-research Repository topic
model-agnostic Repository topic
scientific-ai Repository topic
desktop-app Repository topic
ai-workbench Repository topic
open-source Repository topic
data Derived category
research Derived category

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SKILL.mdcore · 11,645 bytes
kernel.pyruns · 18,083 bytes
open-science.jsonasset · 494 bytes

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# Figure Composer — narrative → panels → compose → adversarial loop

`figure-composer` is the outer workflow for one multi-panel figure. Use the
`figure-style` rules while planning and reviewing; every panel worker uses those
rules independently. Run `paper-narrative` first when the paper-level figure
sequence is still undecided.

## Open-Science Notebook call

Every `notebook_execute` request whose `code` uses a function named in this skill
includes this skill ID:

```json
{ "kernelSkillIds": ["figure-composer"], "code": "print(figure_outline_schema())" }