ZeroPlot

Plot anything with zero effort.

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

Status Agent Skill License Black Blue Labs

中文

ZeroPlot visual capability samples

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:

  1. Intent first — start from meaning and constraints.
  2. Structure preserved — keep entities, relationships, and data auditable.
  3. Editable by default — prefer source formats over flattened pixels.
  4. 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.