creating-data-visualizations
Create analytical charts and plots from existing data.
Skill by foryourhealth111-pixel
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/foryourhealth111-pixel-creating-data-visualizations
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: data, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/creating-data-visualizations
Tools it pre-approves 6
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Read,Write,Edit,Grep,Glob,Bash(cmd:*)
What's inside
- Skill name
creating-data-visualizations- Description
- Create analytical charts and plots from existing data. Use for exploratory or reporting visuals such as bars, lines, scatters, and dashboards; not for publication-grade scientific figures or AI-generated schematics.
- License
- MIT
- Allowed tools
- Read,, Write,, Edit,, Grep,, Glob,, Bash(cmd:*)
- Instructions
- 31 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Pre-approves some shell commands
Files (7)
- SKILL.md
- README.md · assets/
- README.md · references/
- README.md · scripts/
- chart_generator.py · scripts/
- data_analyzer.py · scripts/
- data_validator.py · scripts/
SKILL.md (first lines)
# Data Visualization Creator Use this skill when the user needs a chart from data that already exists. ## Overview This skill focuses on everyday analytical visualization choices: bars, lines, scatters, distributions, comparisons, and simple dashboards. ## When to Use This Skill - Plotting trends, distributions, comparisons, or correlations from structured data - Turning query output or CSV tables into charts for analysis or slides - Choosing a sensible chart type and axis treatment for a non-specialist audience ## Not For / Boundaries - Journal-ready figures, multi-panel publication layouts, TIFF/600dpi exports: use `scientific-visualization` - Structural diagrams, flowcharts, and mechanism illustrations: use `scientific-schematics` or `markdown-mermaid-writing` - Full research-report ownership: use `scientific-reporting` ## Integration - Pair with `exploratory-data-analysis` before plotting questionable data - Hand off to `scientific-visualization` if the chart must meet publication standards ## Example Requests - "Plot monthly conversion rate with a confidence band" - "Make a scatter plot of latency vs throughput" - "Turn this CSV summary into a small dashboard"
From foryourhealth111-pixel/Vibe-Skills, MIT.
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Signals
- Stars
- 3,764
- Forks
- 341
- Open issues
- 36
- Last commit (this folder)
- Apr 27, 2026 (6 months ago)
- Last release
- Oct 18, 2026 (13 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
creating-data-visualizations skill. Agent Mart. https://agentmart.dev/skills/foryourhealth111-pixel-creating-data-visualizations (last updated 2026-10-24)