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

export

GitHub

规划并确认Excel数据导出方案。通过检查数据范围、字段及筛选条件，生成可确认的导出计划。流程包括识别表结构、验证数据预览、提出方案，待用户确认后由受控流程写入文件，不直接生成。

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

Trigger Scenarios

需要导出Excel文件请求将数据保存为电子表格

Install

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

More Options

Use without installing

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

指定 Agent (Claude Code)

npx skills add Zafer-Liu/Data-Analysis-Agent --skill export -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": "export",
    "description": "规划并确认 Excel 数据导出（export 导出）",
    "allowedTools": [
        "get_schema",
        "query_data",
        "propose_excel_export"
    ]
}

Excel 导出

检查数据范围、字段、筛选条件和工作表组织，生成可确认的导出方案。先提案，不直接生成文件；用户确认后由受控导出流程写入 outputs。

Tool routing

Use get_schema to identify exportable tables and fields.
Use query_data only to validate row counts, filters, or preview values needed for the export plan.
Use propose_excel_export to create a confirmation-ready export plan. Do not write files in this skill turn.
After user confirmation, the controlled export command flow writes the final workbook.

Implementation reference

Proposal tool entry: agent/tools/business/export.py::_tool_propose_excel_export
Export tool entry: agent/tools/business/export.py::_tool_export_excel
Export implementation: Function/Output/excel_export.py