creating-data-visualizations

Create analytical charts and plots from existing data.

IndexedMIT★ 3,764

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

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 Use for exploratory or reporting visuals such as bars, lines, scatters, and dashboards; not for publication-grade scientific figures or AI-generated schematics.

Use cases: data, research

Reviews

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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 Use for exploratory or reporting visuals such as bars, lines, scatters, and dashboards; not for publication-grade scientific figures or AI-generated schematics.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.

Signals

Stars: 3,764
Forks: 341
Open issues: 36
Last commit (this folder): Apr 27, 2026 (6 months ago)
Last release: Oct 18, 2026 (10 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/foryourhealth111-pixel/Vibe-Skills
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

More from foryourhealth111-pixel

Cite this page

creating-data-visualizations skill. Agent Mart. https://agentmart.dev/skills/foryourhealth111-pixel-creating-data-visualizations (last updated 2026-10-24)