paperbanana
Installation
SKILL.md
paperbanana — routing-first academic illustration
Keyword:
paperbanana·methodology diagram·statistical plot·figure evaluation·plan-then-refineThis is an unofficial community implementation of the PaperBanana paper (arXiv:2601.23265). Respect provider terms, API budgets, and each venue's figure/reuse policies.
PaperBanana turns text or a paper into publication-quality figures with a two-phase, multi-agent, plan-then-refine pipeline. It is most useful when you choose the smallest workable mode instead of always running the full generation loop:
- render data-driven charts with
plot(matplotlib code, no image-gen key) before spending image credits - fix an existing figure with
polishorevaluatebefore regenerating from scratch - generate a single diagram with
generatebefore reaching for batch/sweep/orchestrate - escalate iterations, candidates, and
--optimizeonly on evidence, not by default - route out to a vector editor, TikZ, or a human designer when generative figures are the wrong tool