Conciseness

Mostly efficient: high-value, non-obvious content (Current API Notes, estimation semantics, KDE boundary bias, dataset-loading caveats) dominates, but sections like 'Design Philosophy' and the long/wide-form primer restate concepts Claude already knows and could be trimmed.

Actionability

Install commands, a fully executable quick start, interface examples, wide-to-long conversion, estimation control, and savefig recipes are copy-paste ready; the plot-type selection table maps data shapes directly to functions, and the illustrative-template nature of generic snippets is explicitly justified in the Resources section.

Workflow Clarity

A clear implicit sequence (install/imports → data structure choice → plot-type table → interface selection → estimation control → save) with explicit statistical checkpoints ('Validate finite, nonnegative observation weights', 'State whether an interval describes data spread', 'inspect the support before choosing KDE'), but these are scattered rather than consolidated and there is no end-to-end ordered workflow.

Progressive Disclosure

The body is an overview that correctly offloads bulk material (783-line function reference, 866-line examples) to a dedicated section listing all seven real reference files with one-line descriptions; all referenced paths exist and references are one level deep (sibling links only).

Specificity

'Creates Seaborn statistical visualizations... for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps. Supports function and objects interfaces with explicit aggregation, uncertainty, and missing-data handling' lists multiple concrete actions covering all major plot families plus both interfaces — comprehensive, not just minor-gap coverage.

Completeness

The 'what' is explicit and concrete, and a 'when' exists via 'Best suited to static exploratory plots; plotly covers interactive figures and scientific-visualization covers publication styling', but this is comparative boundary guidance rather than an explicit 'Use when...' trigger phrase, so the 'when' could be more explicit and tied to user requests.

Trigger Term Quality

Natural terms like 'Seaborn', 'statistical visualizations', 'pair plots', 'heatmaps', 'regression', and 'distributions' are present, but common variations users actually say ('scatter plot', 'box plot', 'violin plot', 'charts') are missing.

Distinctiveness Conflict Risk

Clear seaborn-static-plots niche with explicit disambiguation from adjacent skills (plotly for interactive figures, scientific-visualization for publication styling); minimal conflict risk.