Agent Skills
› mindscale-noah/MindMemOS
› xlsx
xlsx
GitHub提供处理Excel文件(.xlsx/.xls/.csv)的能力,涵盖读写数据、公式计算、单元格操作、格式化及自动化任务。支持openpyxl和pandas工具,并提示常见陷阱如索引基性和空行统计问题。
触发场景
用户需要读取或写入Excel文件
涉及电子表格数据处理、公式更新或格式调整
安装
npx skills add mindscale-noah/MindMemOS --skill xlsx -g -y
SKILL.md
Frontmatter
{
"name": "xlsx",
"description": "Use this skill whenever the user wants to do anything with Excel spreadsheet files (.xlsx, .xls, .csv). This includes reading data, writing formulas, manipulating cells, formatting, filtering, creating charts, pivot tables, and any spreadsheet automation tasks."
}
Excel Spreadsheet Processing
Use openpyxl to read and write .xlsx files.
Quick Start
from openpyxl import load_workbook
wb = load_workbook("input.xlsx")
ws = wb["Sheet1"]
value = ws["A1"].value
ws["B2"] = 42
ws["C2"] = "=SUM(A2:B2)"
wb.save("output.xlsx")
Use this for direct cell edits, formula updates, and simple workbook changes.
Reading Data with pandas
import pandas as pd
df = pd.read_excel('file.xlsx') # First sheet
all_sheets = pd.read_excel('file.xlsx', sheet_name=None) # All sheets as dict
Common Pitfalls
- Cell indices are 1-based:
ws.cell(row=1, column=1)is A1. data_only=Truedestroys formulas on save: Use a separate workbook object for reading calculated values.ws.max_rowovercounts: May include formatted-but-empty rows. Scan the column to find the last non-empty cell when you need the true data range.
版本历史
- 1364c08 当前 2026-08-04 18:45


