---

name: "scikit-plot" description: "Routes scikit-plot requests for metric curves, estimator diagnostics, clustering elbow plots, PCA visualizations, and legacy factory compatibility." disable-model-invocation: true metadata: disco-role: operating license: MIT

scikit-plot

Use this root skill when the task is about the scikitplot plotting library itself: confusion matrices, ROC and precision-recall curves, KS statistics, calibration curves, cumulative gain and lift curves, feature importance, learning curves, elbow curves, PCA visualizations, or old classifier_factory / clustering_factory compatibility code.

This root skill is a router. Read the focused sub-skill for the plotting family you need, then come back here only for install guidance, environment compatibility, or cross-cutting troubleshooting.

Install and smoke

The public package name is scikit-plot and the import name is scikitplot.

For PyPI use against this 0.3.7 snapshot:

python -m pip install "scikit-plot==0.3.7" "scipy<1.11" "matplotlib<3.9"

For a local checkout of the package source:

python -m pip install -e .

If you are already in a modern scientific stack and imports or first plots fail, use the compatibility window verified for this repository:

• scipy<1.11
• matplotlib<3.9

After install, run the root smoke check:

python scripts/check_environment.py

That helper imports the package, prints the version, and runs a tiny Agg-backed confusion-matrix smoke.

Route map

User need	Read next
Confusion matrix, ROC, precision-recall, KS, calibration, cumulative gain, lift, silhouette	sub-skills/metrics/SKILL.md
Feature importance or learning-curve plots	sub-skills/estimators/SKILL.md
Elbow curves for clusterers	sub-skills/clustering/SKILL.md
PCA component variance or 2-D projection	sub-skills/decomposition/SKILL.md
classifier_factory, clustering_factory, or deprecated plotters usage	sub-skills/legacy-factories/SKILL.md

What this root owns

• Install and compatibility notes for the 0.3.7 snapshot.
• The package-level smoke check.
• Routing to the five workflow sub-skills.
• Cross-cutting troubleshooting that applies before you know the exact plot family.

What this root does not own

• Exact API signatures for plot functions.
• Long workflows or examples.
• Legacy method-injection details.
• Sub-skill-specific troubleshooting.

Read next

• references/workflow-map.md for a compact capability map.
• references/troubleshooting.md for version-compatibility and import failures.
• references/repo-provenance.md to decide whether this skill still matches the checkout.
• scripts/check_environment.py to verify the install quickly.

Fast selection hints

• If the user names a plot family, route by the plot name rather than by the module name.
• If the user says “legacy factory” or “deprecated plotters”, route to legacy-factories.
• If the user only wants to know whether the package is installed, the root smoke script is enough.
• If the user is trying to fix a failure, read root troubleshooting first, then the sub-skill troubleshooting page for the plot family.