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Excel Builder

通过 openpyxl 或 xlsxwriter 编写 Python 脚本构建 .xlsx 文件,支持公式、合并单元格、数字格式、数据验证、条件格式和图表,保存后检查文件大小并返回绝对路径与工作表概要。

jimmy974
jimmy974
热度 43.22
最近更新 2026-05-11 17:37:41
分类:效率依赖:代码执行 / 读写文件应用场景:报告撰写 / 数据处理 / 财务 / 模板

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add excel-builder
Metadata
name
excel-builder
description
Build .xlsx files with formulas, merged cells, data validation, conditional formatting, pivot tables, and charts. Use when creating Excel spreadsheets, financial tables, data entry forms, or any structured .xlsx deliverable requiring formulas or formatting.
license
MIT
metadata
{"version":"1.0.0","domain":"document-generation","triggers":"Excel, xlsx, spreadsheet, formula, pivot table, chart, data validation, conditional formatting, openpyxl, xlsxwriter, merged cells, workbook","role":"builder","scope":"implementation","output-format":"xlsx","related-skills":"financial-model-builder, data-analysis-report, pdf-report-generator"}

Excel Builder

Builds structured .xlsx files programmatically using Python libraries (openpyxl or xlsxwriter).

When to Use This Skill

  • Creating Excel spreadsheets with formulas and calculated fields
  • Building financial tables, budgets, or invoices
  • Generating data entry forms with validation and dropdowns
  • Producing reports with charts (bar, line, pie, scatter)
  • Exporting structured data with conditional formatting or color coding
  • Building pivot-ready data tables

Core Workflow

  1. Choose library — Use openpyxl for reading/modifying existing files; use xlsxwriter for new write-only files with rich charts
  2. Design structure — Define sheets, columns, headers, and data rows before writing
  3. Write data — Populate cells row by row; apply number formats ("#,##0.00", "YYYY-MM-DD")
  4. Add formulas — Use Excel formula strings: =SUM(B2:B100), =IF(A2>0, "Yes", "No")
  5. Format — Apply styles: bold headers, column widths, merged cells, fill colors, borders
  6. Validate — Add data validation (dropdown lists, numeric ranges) where applicable
  7. Charts — Add charts referencing data ranges; set titles and axis labels
  8. Save and verify — Save to output path; confirm file exists and is non-zero bytes

Key Patterns

openpyxl (read/write existing)

from openpyxl import Workbook, load_workbook
from openpyxl.styles import Font, PatternFill, Alignment

wb = Workbook()
ws = wb.active
ws.title = "Report"
ws["A1"] = "Revenue"
ws["A1"].font = Font(bold=True, size=12)
ws.column_dimensions["A"].width = 20
wb.save("output.xlsx")

xlsxwriter (new files with charts)

import xlsxwriter
wb = xlsxwriter.Workbook("output.xlsx")
ws = wb.add_worksheet("Summary")
bold = wb.add_format({"bold": True, "bg_color": "#4472C4", "font_color": "white"})
ws.write("A1", "Month", bold)
chart = wb.add_chart({"type": "column"})
chart.add_series({"values": "=Summary!$B$2:$B$13", "name": "Revenue"})
ws.insert_chart("D2", chart)
wb.close()

Error Handling

  • If openpyxl not installed: pip install openpyxl
  • If xlsxwriter not installed: pip install xlsxwriter
  • Always wrap wb.save() in try/except; report path conflicts
  • Verify output with os.path.getsize(path) > 0 before returning

Output

Return the absolute path to the saved .xlsx file. If generating multiple sheets, list each sheet name and row count in a brief summary.