skill

zeroplot

Plot anything with zero effort. Editable charts, diagrams, figures, posters, and slides.

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Use skill

Set up

Skills are installed by placing their folder where your agent loads skills.

Install instructions come from the README

Skills do not use an MCP config. Follow the steps in the README below; one-click install arrives with accounts.

README

synced Oct 14, 2026

ZeroPlot

Plot anything with zero effort.

Turn intent, data, or references into editable visual artifacts.

中文

One visual system. Every format.

ZeroPlot is an Agent Skill for creating and redesigning structured visuals. It starts from what you mean—not which drawing tool you know.

Intent / Data / Reference
            ↓
        Visual Spec
            ↓
Chart · Diagram · Figure · Poster · Slide
            ↓
     Editable Source + Export

plot means composing visual elements, not only statistical plotting.

What it creates

Artifact	Typical inputs	Preferred outputs
Charts	datasets, metrics, tables	matplotlib, SVG, PDF, PNG
Diagrams	system descriptions, code, rough sketches	draw.io, SVG, Mermaid
Technical figures	papers, netlists, screenshots, domain specs	TikZ, SVG, draw.io
Posters	narrative, figures, brand constraints	PPTX, SVG, PDF
Slides	outline, evidence, existing deck	PPTX, structured slide source

Scientific figures are the first proving ground—not the product boundary.

Core contract

ZeroPlot optimizes for four things:

Intent first — start from meaning and constraints.
Structure preserved — keep entities, relationships, and data auditable.
Editable by default — prefer source formats over flattened pixels.
Domain aware — visual grammar changes across fields and audiences.

Install

Codex

npx skills add blackblue-labs/zeroplot -g -a codex -y

Manual

Copy skills/zeroplot into your agent's skill directory.

Try it

Use ZeroPlot to turn this CSV into a publication-ready editable chart.

Reconstruct this screenshot as an editable draw.io system diagram.

Turn this technical report into a five-slide visual narrative.

Initial domain packs

Domain	Coverage	Status
Integrated circuits	schematics, switched-capacitor diagrams, architecture blocks	seed
Computer science	systems, models, pipelines, evaluation setups	seed

Research

One research outcome behind ZeroPlot:

Demonstrating chart-plot: Closing the Last Mile of Academic Chart Generation

Accepted at ADS 2026: The Joint Workshop on Agentic Data Systems and Data-Centric AI (The 1st ADS & 3rd DATAI), co-located with VLDB 2026.

If ZeroPlot helps your work, please cite:

@misc{tang2026chartplot,
  title         = {Demonstrating chart-plot: Closing the Last Mile of Academic Chart Generation},
  author        = {Tang, Yinghao and Xie, Yupeng and Feng, Yingchaojie and Lao, Jiale and Lan, Tingfeng and Chen, Wei},
  year          = {2026},
  eprint        = {2606.09174},
  archivePrefix = {arXiv},
  url           = {https://arxiv.org/abs/2606.09174}
}

Roadmap

Chart, diagram, and schematic generation
Reference-image reconstruction into editable structure
Poster and slide workflows
Domain rubrics and held-out visual benchmarks
Generation → editing → export loop

Contributors

ZeroPlot credits contributors by fields and work—not only commit count.

Contributor	Background	Fields	Contributions
MisterBrookT	CS PhD @ ZJU	Computer science, scientific visualization, AI agents	Creator, product direction, initial visual domains

Contributing a domain pack, benchmark, visual rubric, workflow, or integration? Add your background, fields, and contribution in the same pull request.

License

MIT. Built by Black Blue Labs.