Excel表格助手

Automate Excel workbook creation, editing, analysis, and visualization of .xlsx files.

77|8|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/laborany/laborany --skill excel-laborany
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Excel表格助手
Source: https://github.com/laborany/laborany/tree/main/skills/xlsx
Command: npx skills add https://github.com/laborany/laborany --skill excel-laborany

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires defusedxml, and includes scripts (resource) components.

What problem does it solve?

Excel workflows are often tedious and error-prone, requiring manual creation, editing, analysis, and formatting across multiple sheets.

Core Features & Use Cases

  • Automated workbook creation and editing using Python (openpyxl) or JavaScript (exceljs).
  • Data analysis, charting, and dashboard generation to deliver ready-to-share insights.
  • Use Case: Transform raw data into a polished multi-sheet budget or inventory report with summaries and charts.

Quick Start

Install the required environment and run the built-in sample to generate a workbook from a dataset.

Frequently Asked Questions about Excel表格助手

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Excel workbook creation and editing for multi-sheet reports?

To automate Excel workbook creation and editing, this skill uses Python (openpyxl) or JavaScript (ExcelJS) scripts to handle multi-sheet workflows, formulas, and safe write operations for polished reports. It applies input validation and error handling to prevent data corruption.

Can I generate charts and pivot-like summaries directly from raw xlsx data?

Yes, you can generate charts and pivot-like summaries directly from raw xlsx data. The skill processes datasets to produce data analysis, charting, and dashboard generation, delivering ready-to-share insights for budgets or inventories.

Do I need Python or JavaScript environments to run xlsx automation scripts?

You need either a Python environment with openpyxl and pandas, or a JavaScript environment with ExcelJS, to run the internal automation scripts. These dependencies execute the workbook creation, editing, and visualization tasks.

What is the best way to transform raw data into a polished budget or inventory dashboard?

The best way to transform raw data into a polished budget or inventory dashboard is using automated multi-sheet workflows. The skill applies formulas, charts, and pivot-like summaries to generate ready-to-share reports with safe write operations.

Does openpyxl support safe write operations and error handling for xlsx files?

Yes, openpyxl supports safe write operations and error handling for xlsx files within this skill. It includes input validation and error handling mechanisms to ensure automated workbook editing is secure and reliable.

Are there limitations when using pandas for pivot-like summaries in Excel workbooks?

When using pandas for pivot-like summaries in Excel workbooks, the skill relies on openpyxl or ExcelJS for writing. Limitations depend on the environment's ability to handle multi-sheet workflows and complex chart rendering within large xlsx files.