probabl-ai/skore-skills

plot-ml-figure

Pick pandas, seaborn, plotly, or matplotlib before writing figure code.

View source

How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/probabl-ai/skore-skills --skill plot-ml-figure

Before you start

  • Installation does not include a model subscription, API allowance or permission to access your files.
  • Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

Plot ML Figure

Worker. Callers own the file and the turn. Do not git end-turn.

Details: references/when.md.

Sequence

  1. If a skore report or sklearn Display already plots this,

use it. Stop.

  1. If interactivity (hover, zoom, pan) is the requirement:

Plotly Express. Write <caller-figure-dir>/<slug>.html with include_plotlyjs=True (inline, offline). explore-ml-data uses data_analysis/. Do not overwrite that caller’s owned HTML (e.g. data_analysis_<slug>.html). The caller embeds <iframe src="<slug>.html" width="100%" height="640"></iframe> in its markdown beside the implication. Do not add kaleido unless the user asked to export a static image. No Dash. Do not use a CDN.

  1. If the plot is statistical on a tidy DataFrame (distribution,

categorical compare, relationship, heatmap, pairplot, facet): seaborn figure-level when a notebook will display it ( displot, relplot, catplot, pairplot, heatmap via FacetGrid / axes only if already on a grid). Not a plt.subplots loop and not a for over columns with a trailing g. One figure-level call as the last expression; facet with col= / col_wrap. Save PNG, leave the figure/grid as the last expression. Never plt.close.

  1. If it is a simple Series/DataFrame bar / line / hist /

area from the index or a few columns, no statistical overlay: df.plot(...). Save the figure (ax.figure.savefig(...)), leave ax.figure (or the axes) visible. Never plt.close.

  1. Else matplotlib. Last resort. In a notebook still save and

display; do not plt.close.

Notebook cells: save for the caller markdown and show the figure in the notebook. plt.close is for non-notebook scripts only (evaluate/audit scratch probes if they are not notebooks).

Polars → pandas at the plot boundary. Missing import → add-python-package if installed; else name the package and return. api get before new symbols.

Missing this skill from a caller → that caller one-line skips and still follows this tree.

Stop conditions

  • Do not write a long matplotlib script for a hist, box, or bar

of a Series.

  • Do not load choose-python-library for matplotlib vs seaborn

vs plotly.

  • Do not pixi add / uv add / env add.
  • Do not install plotly on the default EDA path.
  • Do not plt.close a figure that should appear in a notebook.

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