plotly
Create Interactive Plotly Visualizations
Complex chart APIs make it difficult to choose chart types, configure interactions, and produce polished results. This skill provides focused Plotly guidance and examples.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "plotly" from https://skillstore.io/skills/davila7-plotly.md and its manifest at https://skillstore.io/api/skills/davila7-plotly/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "plotly". Create a scatter plot comparing temperature and yield, colored by treatment, with a trendline.
Expected outcome:
A Plotly Express figure with treatment colors, an ordinary least squares trendline, clear axis labels, and informative hover values.
Using "plotly". Show quarterly prices and volume in one responsive figure.
Expected outcome:
A two-row subplot with a price line, volume bars, shared dates, coordinated styling, and responsive HTML display.
Using "plotly". Export an interactive chart for the web and a high-resolution image for a report.
Expected outcome:
A standalone HTML chart plus a scaled static image, with the required Plotly and Kaleido setup identified.
Security Audit
SafeAll 41 static findings are false positives caused by documentation examples, Markdown code fences, chart terminology, and official Plotly links. No malicious intent, prompt injection, unsafe command execution, unauthorized network activity, or dangerous file handling was found.
Risk Factors
๐ Filesystem access (1)
โ๏ธ External commands (29)
๐ Network access (3)
Share & cite this report
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https://skillstore.io/skills/davila7-plotly/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
[](https://skillstore.io/skills/davila7-plotly?utm_source=security_passport_badge)HTML badge
<a href="https://skillstore.io/skills/davila7-plotly?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/davila7-plotly/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/davila7-plotly.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA ยท BibTeX ยท CFF)
APA citation
davila7. (2026). plotly security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/davila7-plotly/audits/9BibTeX citation
@techreport{davila7-davila7-plotly-2026,
author = {davila7},
title = {plotly security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/davila7-plotly/audits/9},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "plotly security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "davila7"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/davila7-plotly/audits/9"
identifiers:
- type: other
value: "skillstore:davila7-plotly:audit:9"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
davila7-plotly
2026-08-21
k-dense-ai-plotly
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Explore Experimental Results
Create interactive scatter plots, heatmaps, distributions, and 3D surfaces for scientific analysis.
Present Business Metrics
Build clear time-series, financial, comparison, and hierarchical charts for recurring reports.
Develop Interactive Dashboards
Combine styled subplots, controls, hover details, and responsive behavior for web applications.
Try These Prompts
Using a pandas DataFrame named [dataframe], create a Plotly Express [chart type] with [x], [y], clear labels, and a title.
Visualize [metric] across [groups] using an appropriate Plotly chart. Add color encoding, hover details, and an accessible legend.
Create a [rows] by [columns] Plotly subplot figure for [metrics]. Coordinate colors, axes, annotations, sizing, and responsive behavior.
Build an interactive Plotly visualization for [workflow] with [controls], custom hover content, animation, and both HTML and [static format] exports.
Best Practices
- Use Plotly Express for standard DataFrame charts, then refine the returned figure with graph object methods.
- Choose labels, color scales, hover fields, and dimensions that match the audience and data.
- Select export settings deliberately, especially embedded libraries, image size, scale, and network requirements.
Avoid
- Do not use graph objects for simple charts when Plotly Express provides the required result.
- Do not overload figures with traces, controls, annotations, or hover fields that obscure the main comparison.
- Do not assume CDN-based HTML exports work offline or static exports work without Kaleido.
Frequently Asked Questions
When should I use Plotly Express?
When should I use graph objects?
Can Plotly create static images?
Can charts work without internet access?
Does this skill support dashboards?
Does this skill analyze my data?
Developer Details
Author
davila7License
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Ref
c43861a65bb95efcae259cd161c9d6f4dc7eec6f
Maintenance freshness
7/24/2026
Usage
6 downloads ยท 515 views
File structure
๐ reference/
๐ chart-types.md
๐ graph-objects.md
๐ layouts-styling.md
๐ plotly-express.md
๐ SKILL.md