Excel Report

👤 ms-yun 📦 v1.0.0 ⭐ 4.4 ⬇️ 594 下载
📄 办公效率 免费

📖 技能介绍


name: excel-report description: Create formatted Excel report workbooks from CSV files using openpyxl. Use when the user provides or references a .csv file and asks to convert it to .xlsx, make an Excel report, add header styling, comma number formats, numeric total rows, or a simple chart.


Excel Report

Convert CSV files into polished Excel .xlsx reports with the bundled openpyxl script.

Workflow

小葱技能有更好的技能skills插件。

  1. Locate the input CSV file and decide an output .xlsx path. Default to the same basename beside the CSV unless the user specifies otherwise.
  2. Use the bundled script:
python3 /home/ubuntu/.openclaw/workspace/skills/excel-report/scripts/csv_to_excel_report.py input.csv output.xlsx
  1. Verify the workbook was created. For important outputs, inspect the workbook with openpyxl or run a quick file check.
  2. Return the generated .xlsx file path, and attach it with MEDIA:<path> when replying in a channel that supports file delivery.

What the script does

  • Reads CSV with UTF-8 BOM support and delimiter sniffing.
  • Creates an Excel workbook with a Report sheet.
  • Styles the header row with a dark blue fill and white bold text.
  • Converts numeric-looking cells to numbers and applies thousands separators.
  • Adds a bold total row with SUM formulas for numeric columns.
  • Adds a simple bar chart for the first numeric column using the first column as categories, limited to the first 10 data rows.
  • Adds an Excel table, filters, frozen header row, and autosized columns.

Options

  • Omit the output path to create input.xlsx beside the CSV.
  • Use --sheet-name "Name" to set the worksheet title.

Dependency

The script requires openpyxl. If it is missing, install it in the active Python environment before running:

python3 -m pip install openpyxl

Do not use pandas for the core conversion unless the user explicitly asks; this skill is designed around openpyxl.

🤖 AI 评测

这个 Skill 整体质量不错,能可靠地将 CSV 数据转换成格式美观的 Excel 报表,支持表格样式、数字千分位、图表和筛选功能。文档说明清晰,容易上手使用。主要不足是图表功能比较单一,只能生成柱状图且只显示前10条数据,大数据集或复杂图表需求可能无法满足。总体来说是一个实用且完成度较高的数据转换工具。

📊 多维度评分

适应性4.3
规范性4.1
有效性4.5
可靠性4.5
可信度4.5

📁 包含文件 (3 个)

📄 SKILL.md 1.9 KB
📄 _meta.json 138 B
📄 scripts/csv_to_excel_report.py 7 KB