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SkillHub ClubResearch & OpsFull StackData / AI

paperbanana

Generate publication-quality academic diagrams, methodology figures, architecture illustrations, and statistical plots from text descriptions using the PaperBanana multi-agent AI pipeline. Also evaluate diagram quality against reference images. Use when: (1) user asks to generate, create, or make a research diagram, methodology figure, system architecture illustration, pipeline diagram, or framework figure, (2) user asks to create a statistical plot, bar chart, or data visualization from CSV/JSON data, (3) user asks to evaluate or score a generated diagram against a reference, (4) user asks to refine or improve a previously generated diagram. NOT for: analyzing existing images, general image generation (non-academic), or chart/graph discussions without explicit generation intent.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
3,083
Hot score
99
Updated
March 20, 2026
Overall rating
C0.0
Composite score
0.0
Best-practice grade
B73.6

Install command

npx @skill-hub/cli install openclaw-skills-openclaw-paperbanana

Repository

openclaw/skills

Skill path: skills/goatinahat/openclaw-paperbanana

Generate publication-quality academic diagrams, methodology figures, architecture illustrations, and statistical plots from text descriptions using the PaperBanana multi-agent AI pipeline. Also evaluate diagram quality against reference images. Use when: (1) user asks to generate, create, or make a research diagram, methodology figure, system architecture illustration, pipeline diagram, or framework figure, (2) user asks to create a statistical plot, bar chart, or data visualization from CSV/JSON data, (3) user asks to evaluate or score a generated diagram against a reference, (4) user asks to refine or improve a previously generated diagram. NOT for: analyzing existing images, general image generation (non-academic), or chart/graph discussions without explicit generation intent.

Open repository

Best for

Primary workflow: Research & Ops.

Technical facets: Full Stack, Data / AI.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: openclaw.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install paperbanana into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/openclaw/skills before adding paperbanana to shared team environments
  • Use paperbanana for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.