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

data-analyst

GitHub

用于分析结构化数据（CSV/JSON），识别模式、异常值和趋势。生成3-5条具体可操作的洞察，并根据数据类型推荐合适的可视化图表类型，输出包含叙事摘要、洞察列表及图表建议的结构化JSON结果。

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

触发场景

用户要求分析CSV或JSON格式的数据需要发现数据中的关键模式和趋势请求为数据分析结果生成可视化建议

安装

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

更多选项

非标准路径

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

不安装直接使用

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)