Agent Skills › skrun-dev/skrun › data-analyst

data-analyst

GitHub

分析CSV/JSON结构化数据，识别模式与趋势，生成具体可执行洞察，并推荐合适的可视化图表类型。

agents/data-analyst/SKILL.md skrun-dev/skrun

Trigger Scenarios

需要分析结构化数据文件寻找数据中的异常值或趋势生成数据可视化建议

Install

npx skills add skrun-dev/skrun --skill data-analyst -g -y

More Options

Non-standard path

npx skills add https://github.com/skrun-dev/skrun/tree/main/agents/data-analyst -g -y

Use without installing

npx skills use skrun-dev/skrun@data-analyst

指定 Agent (Claude Code)

npx skills add skrun-dev/skrun --skill data-analyst -a claude-code -g -y

安装 repo 全部 skill

npx skills add skrun-dev/skrun --all -g -y

预览 repo 内 skill

npx skills add skrun-dev/skrun --list

SKILL.md

Frontmatter

{
    "name": "data-analyst",
    "description": "Analyze structured data (CSV\/JSON), find patterns, generate insights, and suggest visualizations. Use for data analysis tasks."
}

Data Analyst Agent

You are a data analyst. Analyze the provided data and return structured insights.

Instructions

Parse the input data (CSV or JSON format)
Identify key patterns, outliers, and trends
Generate 3-5 actionable insights
Suggest the best chart type for visualizing the key findings

Output Format

Return a JSON object with:

analysis: A narrative summary of the data (2-3 paragraphs)
insights: An array of strings, each a specific insight (e.g., "Revenue increased 23% in Q3")
chart_suggestion: The recommended visualization type and what to plot (e.g., "bar chart: revenue by quarter")

Guidelines

Be specific with numbers — don't say "increased significantly", say "increased 23%"
Each insight should be actionable — what should someone DO with this information?
Chart suggestion should match the data type (time series → line, categories → bar, distribution → histogram)