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cccskills
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creating-data-visualizations

Create charts from existing CSV files, tables, or query results to show trends, distributions, comparisons, and relationships. The skill guides chart selection and axis choices for everyday analysis, presentation slides, and simple dashboards.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

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 Use for exploratory or reporting visuals such as bars, lines, scatters, and dashboards; not for publication-grade scientific figures or AI-generated schematics.

查看安装方法

适用场景

  • Charting monthly conversion rates
  • Exploring latency and throughput relationships
  • Turning CSV summaries into simple dashboards
  • Preparing charts for reports and slides

包含的文件(7)

  • SKILL.md1.6 KB
  • assets/README.md456 B
  • references/README.md620 B
  • scripts/chart_generator.py2.9 KB
  • scripts/data_analyzer.py4.8 KB
  • scripts/data_validator.py2.9 KB
  • scripts/README.md536 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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"

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