Publiplots
Add the publiplots Claude plugin so your agent follows seaborn-like, mm-based publication plot conventions instead of matplotlib defaults.
Overview
publiplots is a plugin marketplace for the Build phase that installs agent skills teaching idiomatic publiplots plotting for publication-ready scientific figures.
What is this marketplace?
- Marketplace bundles publiplots@publiplots with two auto-activating skills
- publiplots-guide covers mm-units layout, pp.subplots, unified pp.legend scoping, and full pp.* API idioms
- legend-placement skill provides a decision tree for pp.legend placement and scoping
- Pastel palettes and modular blocks aimed at publication-ready defaults
- Seaborn-like API with extensive customization without breaking sensible defaults
- Marketplace description: 1 plugin entry
- Plugin ships 2 skills: publiplots-guide and legend-placement
- Library docs hosted at jorgebotas.github.io/publiplots
Community signal: 1 GitHub stars.
What problem does it solve?
Agent-generated plots often ignore mm-based layouts, legend scoping, and publiplots idioms, wasting time fixing figures before submission or presentation.
Who is it for?
Solo builders and researchers shipping Python analyses who need agent help that matches publiplots conventions and external docs.
Skip if: Teams not using Python visualization, purely interactive web chart stacks, or one-off notebooks where default matplotlib styling is enough.
What do I get? / Deliverables
After /plugin install publiplots@publiplots, Claude applies the guide and legend-placement skills whenever it detects publiplots work in your Python project.
- Installed publiplots@publiplots plugin with two bundled skills
- Agent outputs aligned to publiplots-guide and legend-placement patterns
- Publication-oriented plot code using pp.* idioms
Plugins in this marketplace
1 plugin — install individually after you add the marketplace.
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Journey fit
Publication figures are produced while building papers, reports, and presentation assets alongside the product or research narrative. Docs subphase fits because the library optimizes scientific publications and decks, not runtime app UI.
How it compares
Curated Claude plugin marketplace for a plotting library, not a standalone MCP chart server or generic data-science skill pack.
Common Questions / FAQ
Who is Publiplots for?
Python authors using Publiplots for scientific publications, presentations, or polished repo docs who want Claude Code to follow library-specific layout and legend rules.
When should I use Publiplots?
Use it during build and docs work whenever you ask an agent to create or refactor Publiplots figures that must meet publication or slide standards.
How do I add Publiplots to my agent?
In Claude Code run /plugin marketplace add jorgebotas/Publiplots then /plugin install Publiplots@Publiplots.