data-visualization
Create Clear Data Visualizations
Data often hides trends when it stays in tables. This skill guides chart selection, styling, and export for clear visual reports.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "data-visualization" from https://skillstore.io/skills/0xkynz-data-visualization.md and its manifest at https://skillstore.io/api/skills/0xkynz-data-visualization/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 "data-visualization". Monthly revenue by product category for one year.
Expected outcome:
A grouped bar chart plan with clear category colors, month labels, revenue axis formatting, and PNG export guidance.
Using "data-visualization". Customer age, signup channel, purchase count, and churn status.
Expected outcome:
- Histogram for age distribution.
- Stacked bar chart for churn by signup channel.
- Scatter plot for purchase count against age.
Using "data-visualization". Weekly support tickets, average response time, and satisfaction score.
Expected outcome:
A multi-axis trend chart plan with annotations for major incidents and separate color treatment for each metric.
Security Audit
SafeThe only static finding points to a Python code fence in SKILL.md, not Ruby or shell execution. No prompt injection, data exfiltration, or command execution intent was found in the reviewed skill text.
Risk Factors
⚙️ External commands (1)
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https://skillstore.io/skills/0xkynz-data-visualization/audits/6?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<a href="https://skillstore.io/skills/0xkynz-data-visualization?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/0xkynz-data-visualization/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/0xkynz-data-visualization.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 · BibTeX · CFF)
APA citation
0xkynz. (2026). data-visualization security audit report (audit version 6) [Author version unspecified]. Skillstore. https://skillstore.io/skills/0xkynz-data-visualization/audits/6BibTeX citation
@techreport{0xkynz-0xkynz-data-visualization-2026,
author = {0xkynz},
title = {data-visualization security audit report (audit version 6)},
institution = {Skillstore},
year = {2026},
number = {6},
url = {https://skillstore.io/skills/0xkynz-data-visualization/audits/6},
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: "data-visualization security audit report (audit version 6)"
version: "unspecified"
type: report
authors:
- name: "0xkynz"
date-released: "2026-07-04"
url: "https://skillstore.io/skills/0xkynz-data-visualization/audits/6"
identifiers:
- type: other
value: "skillstore:0xkynz-data-visualization:audit:6"
description: "Skillstore immutable audit report identifier"
Compare variants
3 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
0xkynz-data-visualization
2026-09-09
dbxstudio-data-visualization
2026-09-09
inference-sh-9-data-visualization
2026-09-09
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Prepare a Business Trend Chart
Turn sales, usage, or operations data into a labeled chart for a stakeholder report.
Explore a Dataset Visually
Choose charts that reveal distributions, relationships, and outliers during analysis.
Create Presentation Graphics
Design clean static visuals with accessible colors, readable labels, and export-ready resolution.
Try These Prompts
I have this dataset: [describe columns and goal]. Recommend the best chart type and explain why it fits.
Create a Matplotlib or Seaborn plan for this data: [data summary]. Include title, axes, labels, colors, and export format.
Review this chart description: [chart details]. Suggest improvements for readability, accessibility, labeling, and focus.
Plan a visualization report for [business question]. Include chart types, subplot layout, annotations, and final export recommendations.
Best Practices
- Select the chart type that matches the question, not only the data shape.
- Use clear titles, axis labels, legends, and annotations where they reduce confusion.
- Check color contrast and export resolution before sharing the final chart.
Avoid
- Do not use pie charts for many categories or small differences.
- Do not overload one chart with unrelated metrics and competing scales.
- Do not omit labels, units, or context needed to interpret the visualization.