Agent Skills › mindscale-noah/MindMemOS › xlsx

xlsx

GitHub

处理Excel文件(.xlsx/.xls/.csv)的技能，支持读取数据、写入公式、单元格操作、格式化及自动化任务。提供openpyxl和pandas示例及常见陷阱提示。

resources/skill_evolve/spreadsheetbench_init_skill/xlsx/SKILL.md mindscale-noah/MindMemOS

Trigger Scenarios

用户需要读取或写入Excel文件涉及电子表格数据处理与自动化

Install

npx skills add mindscale-noah/MindMemOS --skill xlsx -g -y

More Options

Non-standard path

npx skills add https://github.com/mindscale-noah/MindMemOS/tree/main/resources/skill_evolve/spreadsheetbench_init_skill/xlsx -g -y

Use without installing

npx skills use mindscale-noah/MindMemOS@xlsx

指定 Agent (Claude Code)

npx skills add mindscale-noah/MindMemOS --skill xlsx -a claude-code -g -y

安装 repo 全部 skill

npx skills add mindscale-noah/MindMemOS --all -g -y

预览 repo 内 skill

npx skills add mindscale-noah/MindMemOS --list

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=True destroys formulas on save: Use a separate workbook object for reading calculated values.
ws.max_row overcounts: May include formatted-but-empty rows. Scan the column to find the last non-empty cell when you need the true data range.