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Excel Author

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excel-author

Excel Author is an Agent Skill for documents published in the fuyuxiang/echo-agent repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Create and edit Excel (.xlsx) workbooks with openpyxl. Supports formulas, charts, formatting, and data analysis.

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How to use this skill

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  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/fuyuxiang/echo-agent/blob/HEAD/skills/creative/excel-author/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/excel-author, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

Excel Author

Create professional Excel workbooks programmatically.

Install

pip install openpyxl

Quick Start

from openpyxl import Workbook
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side

wb = Workbook()
ws = wb.active
ws.title = "月度报表"

# Headers
headers = ["日期", "类别", "金额", "备注"]
ws.append(headers)
for cell in ws[1]:
    cell.font = Font(bold=True, size=12)
    cell.fill = PatternFill("solid", fgColor="4472C4")
    cell.font = Font(bold=True, color="FFFFFF")

# Data
ws.append(["2026-06-01", "餐饮", 85.5, "午餐"])
ws.append(["2026-06-01", "交通", 15.0, "地铁"])
ws.append(["2026-06-02", "购物", 299.0, ""])

# Formula
ws.append(["", "合计", "=SUM(C2:C4)", ""])

# Auto-width
for col in ws.columns:
    max_len = max(len(str(cell.value or "")) for cell in col)
    ws.column_dimensions[col[0].column_letter].width = max_len + 4

wb.save("report.xlsx")

Script

python3 scripts/create_xlsx.py from-csv data.csv --output report.xlsx
python3 scripts/create_xlsx.py from-json data.json --output report.xlsx
python3 scripts/create_xlsx.py quick "Report Title" --headers Name Age City --output output.xlsx

Templates

  • Expense Report: Category breakdown with totals
  • Project Tracker: Status, assignee, due date columns
  • Data Analysis: Summary statistics + charts

Charts

from openpyxl.chart import BarChart, Reference

chart = BarChart()
chart.title = "月度支出"
data = Reference(ws, min_col=3, min_row=1, max_row=5)
cats = Reference(ws, min_col=2, min_row=2, max_row=5)
chart.add_data(data, titles_from_data=True)
chart.set_categories(cats)
ws.add_chart(chart, "E2")

Conventions

  • Blue cells: input values
  • Black cells: calculated/formula
  • Green cells: final output/results