plotly

Interactive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).

Quality

81%

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Securityby

Passed

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Quality

Content

71%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is highly actionable with executable, copy-paste-ready examples and clear API-selection guidance, but it is somewhat redundant and its progressive disclosure is undermined by references to bundle files that are not actually present.

Suggestions

Add the missing reference/ bundle files (plotly-express.md, graph-objects.md, chart-types.md, layouts-styling.md, export-interactivity.md) or remove the broken references so signaled navigation resolves to real files.

Deduplicate the body: the 'Reference Files' list and several Common Workflows examples repeat links/patterns already shown inline—consolidate or move detail into the reference files.

Add an explicit checkpoint for static-image export (e.g., verify kaleido is installed before calling write_image) to strengthen workflow clarity for the one multi-step flow present.

Dimension	Reasoning	Score
Conciseness	Mostly efficient executable examples, but the body duplicates guidance (Choosing Between APIs repeats px/go framing, Common Workflows re-shows scatter and subplot patterns, and a Reference Files list repeats links already given inline) that could be tightened.	3 / 5
Actionability	Code throughout is copy-paste ready and executable—install commands, px.scatter quick start, write_html/write_image exports, candlestick, subplots, and a Dash app—covering the common cases concretely.	5 / 5
Workflow Clarity	As a library reference rather than a destructive/batch workflow, the API-choice decision logic (px vs go with explicit criteria) and quick-start sequence are clear; it stops short of explicit validation checkpoints for involved flows like the kaleido-dependent static export.	4 / 5
Progressive Disclosure	Structure and one-level-deep reference signaling are present, but the five referenced reference/*.md files do not exist in the bundle (no reference/ or references/ directory), so the signaled references are broken and content that belongs in separate files is partially inlined.	3 / 5
	Total	15 / 20 Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is strong: it states concrete capabilities, gives an explicit 'Use when' trigger with many natural chart-type terms, and carves out a distinct Plotly-specific niche. The only mild gap is trigger-term breadth, which is already good rather than comprehensive.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete capabilities (scatter plots, line charts, heatmaps, 3D plots, geographic maps, dashboards) plus the Plotly Express/graph objects split and output formats, giving comprehensive coverage rather than minor-gap 'several'.	5 / 5
Completeness	Explicitly answers both 'what' (interactive scientific/statistical visualization library, outputs HTML/PNG/PDF/SVG) and 'when' ('Use when creating charts, plots, or visualizations including...') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Strong natural keyword coverage (charts, plots, scatter plots, bar charts, heatmaps, dashboards) that users would actually say, but lacks the full synonym/file-extension breadth that would warrant a 5.	4 / 5
Distinctiveness Conflict Risk	Clear Python data-visualization niche anchored to Plotly Express and graph objects with named chart types, giving minimal conflict risk with adjacent skills.	5 / 5
	Total	19 / 20 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
relative_links	Relative link issues: 11 missing	Warning

	Total	15 / 16 Passed

Repository: foryourhealth111-pixel/Vibe-Skills
Path: bundled/skills/plotly/SKILL.md
Commit: d5ae560

Reviewed: 1 day ago

Table of Contents

Discovery Implementation Validation

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