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

   访问小葱技能站7w4.net，解锁更多实用的AI技能插件。

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.

质量中等偏上。优点是功能覆盖全面，文档结构清晰，代码示例易懂；不足之处是示例不够丰富，高级功能说明较少，缺少实际可用的完整案例。对于基础 Excel 生成需求足够使用，但复杂场景可能需要额外查阅文档。整体可满足日常使用，建议增加更多示例以提升实用性。