Agent Skills › Zafer-Liu/Data-Analysis-Agent › chart

chart

GitHub

根据数据特征和可视化目标（比较、趋势等）智能选择并生成业务图表。流程包括检查Schema、查询最小数据集、选定图表类型及映射字段，确保标题坐标轴明确。

skills/chart/SKILL.md Zafer-Liu/Data-Analysis-Agent

Trigger Scenarios

需要生成数据可视化图表用户询问数据分布或趋势需要将数据转换为图形展示

Install

npx skills add Zafer-Liu/Data-Analysis-Agent --skill chart -g -y

More Options

Use without installing

npx skills use Zafer-Liu/Data-Analysis-Agent@chart

指定 Agent (Claude Code)

npx skills add Zafer-Liu/Data-Analysis-Agent --skill chart -a claude-code -g -y

安装 repo 全部 skill

npx skills add Zafer-Liu/Data-Analysis-Agent --all -g -y

预览 repo 内 skill

npx skills add Zafer-Liu/Data-Analysis-Agent --list

SKILL.md

Frontmatter

{
    "icon": "📊",
    "name": "chart",
    "description": "根据当前数据选择并生成合适的业务图表（visualization 可视化）",
    "allowedTools": [
        "get_schema",
        "query_data",
        "select_chart",
        "generate_chart"
    ]
}

图表分析

先检查字段、口径和数据量，再查询绘图所需的最小数据集。根据比较、趋势、分布、关系或构成目标选择图形；标题、坐标轴和单位必须明确。若用户未指定图形，说明选择理由并生成最合适的一种。

Tool routing

Use get_schema to inspect available tables and fields.
Use query_data to verify the minimum data needed for the chart and avoid guessing column names.
Use select_chart when the user intent does not already determine a chart type.
Use generate_chart with the selected chart id and explicit field mapping.

Implementation reference

Tool entries: agent/tools/business/data.py::_tool_select_chart, agent/tools/business/data.py::_tool_generate_chart
Chart implementation: Function/Charts_generation/chart_generate.py
Chart catalog: Function/Charts_generation/charts/