PaperBanana Skills for Claude Code
One sentence in, publication-quality academic figure out.
Powered by a 5-agent pipeline that plans, styles, generates, and self-critiques your illustrations.
English | 中文
Gallery
Biology — Signal Pathway | NLP — RAG Pipeline |
Data Engineering — Lakehouse | Medical AI — U-Net + Mamba |
All figures generated from plain text descriptions — zero manual drawing.
More Examples (architecture diagrams, slides)
Transformer Architecture | Mamba SSM Architecture |
RAG Pipeline | |
Skills in this Marketplace
| Skill | Scope | Description | Version |
|---|---|---|---|
| paperbanana | user | Academic diagrams, plots, slides, and quality evaluation | v4.0.0 |
| paperbanana-slide-deck | project | Full slide deck orchestration (RDIV workflow) + 150+ style presets | v1.1.0 |
Feature Matrix
| Capability | Status | Details |
|---|---|---|
| Methodology diagrams | ✅ | Text → publication-quality figure in 30s |
| Statistical plots | ✅ | CSV/JSON data → auto-styled academic plot |
| Presentation slides | ✅ | Markdown → 4K slide with 150+ style presets |
| Multi-venue styles | ✅ New | --venue neurips|icml|acl|ieee|custom |
| PDF input | ✅ New | --input paper.pdf --pages 3-5 |
| 6-item quality eval | ✅ New | Binary checklist: completeness, layout, annotation, color, legibility, hallucination |
| Autoresearch loop | ✅ New | Automated prompt self-optimization with keep/revert |
| Error handling | ✅ New | Critic UNREVIEWED status, provider fallback chains, retry filtering |
| 5 VLM providers | ✅ | Gemini, Claude, OpenAI, Bedrock, OpenRouter |
| Auto-refine | ✅ | --auto loops until Critic is satisfied |
| Run continuation | ✅ | --continue with --feedback for iterative refinement |
| Dynamic aspect ratio | ✅ | 8 Imagen ratios, Planner auto-recommends |
What's New in v4.0
Eval-First Quality System
A 6-item binary checklist evaluator that measures academic figure quality without human reference images:
| Check | Question | Pass Criteria |
|---|---|---|
| Completeness | All input concepts represented? | Every key concept has a visual element |
| Layout | Logical flow direction? | Clear L→R, T→B, or radial flow |
| Annotation | All components labeled? | Every visual element has text |
| Color Restraint | ≤3 primary colors? | Academic palette discipline |
| Legibility | Readable at 50% zoom? | Text survives PDF column layout |
| No Hallucination | Zero unlabeled concepts? | Nothing invented beyond input |
Baseline: 76% → 100% after prompt optimization. Color restraint was the bottleneck (33% → 100%).
Autoresearch Self-Optimization
Automated prompt mutation loop inspired by Karpathy's autoresearch:
Mutate prompt → Generate figures → Evaluate checklist → Keep or Revert → Repeat