Conciseness

The body is operational with no conceptual fluff, but the 40+ chart-type catalog and standard-usage snippets (candlestick syntax, subplot boilerplate, basic px.scatter usage) restate knowledge Claude already has about this well-known library and duplicate what reference/chart-types.md should carry. Not 4 because several sections could be trimmed or moved out; not 2 because there is no explanatory padding of basic concepts.

Actionability

Nearly all code blocks are executable and concrete (quick start, make_subplots, hovertemplate, write_html/write_image, Dash app). Not 5 because several snippets use undefined variables (data, z_data, correlation_matrix, and df assumed from earlier) and app.run_server(debug=True) is deprecated in current Dash versions, so they are not fully copy-paste ready; not 3 because nothing is pseudocode or abstract.

Workflow Clarity

A coherent path is laid out: install, quick start, explicit px-vs-go decision criteria in 'Choosing Between APIs', capability areas, then export options. No validation checkpoints exist, but no destructive or batch operations are involved, so the feedback-loop cap does not apply. Not 5 because there are no checkpoints at all (e.g. verifying a figure rendered or exported correctly); not 3 because the sequence and decision points are explicit rather than gapped.

Progressive Disclosure

On paper the structure is good: one-level-deep references ('See reference/plotly-express.md for complete guide'), a Reference Files index section, and appropriately overview-level inline content. However, scored against the actual bundle, no references/ directory exists — all five referenced files are missing — and the paths use 'reference/' (singular) rather than the conventional 'references/', so every pointer dead-ends. Not 4 or above because the referenced files do not exist; not 2 because nothing is buried or monolithic and the signaling itself is clear.

Specificity

Names the domain ('Interactive visualization library') and several concrete features ('hover info, zoom, pan, or web-embeddable charts'), which fits anchor 3, but the second-person phrasing 'Use when you need hover info' triggers the mandatory 1-point specificity penalty, dropping it to 2. It is not 1 because the domain and concrete capabilities are explicitly stated rather than vague.

Completeness

Both what ('Interactive visualization library') and when ('Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations') are present, with concrete trigger phrases and an explicit boundary rule for matplotlib. It is not 5 because the 'what' is a single thin phrase with no concrete actions listed, and not 3 because the 'when' clause is explicit rather than weakly implied.

Trigger Term Quality

Good natural-keyword coverage: 'hover info', 'zoom', 'pan', 'charts', 'dashboards', 'exploratory analysis', 'presentations' are phrases users would actually say. It is not 5 because common variations like 'plot', 'graph', or 'interactive chart' are missing, and not 3 because coverage clearly exceeds 'some relevant keywords'.

Distinctiveness Conflict Risk

Clear niche (interactivity: 'hover info, zoom, pan, or web-embeddable charts') with active disambiguation against the nearest competitors ('For static publication figures use matplotlib or scientific-visualization'), giving minimal conflict risk. Not 4 because it does not merely reduce overlap — it explicitly routes borderline cases to the correct alternative skill.