Agent Skills
› foryourhealth111-pixel/Vibe-Skills
› creating-data-visualizations
creating-data-visualizations
GitHub用于从现有数据创建分析图表，支持条形、折线、散点及简易仪表盘等探索性或报告用途。不适用于出版级科学插图或AI示意图。
Trigger Scenarios
根据结构化数据绘制趋势、分布或相关性图表
将CSV表格或查询结果转化为分析用图表
为非专业受众选择合适的图表类型和坐标轴
Install
npx skills add foryourhealth111-pixel/Vibe-Skills --skill creating-data-visualizations -g -y
SKILL.md
Frontmatter
{
"name": "creating-data-visualizations",
"author": "Jeremy Longshore <jeremy@intentsolutions.io>",
"license": "MIT",
"version": "1.0.0",
"description": "Create analytical charts and plots from existing data.\nUse for exploratory or reporting visuals such as bars, lines, scatters, and dashboards; not for publication-grade scientific figures or AI-generated schematics.\n",
"allowed-tools": "Read, Write, Edit, Grep, Glob, Bash(cmd:*)"
}
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-schematicsormarkdown-mermaid-writing - Full research-report ownership: use
scientific-reporting
Integration
- Pair with
exploratory-data-analysisbefore plotting questionable data - Hand off to
scientific-visualizationif 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"
Version History
- f627ab5 Current 2026-07-25 04:40
