xlsx

Open, clean, and repair spreadsheets into polished .xlsx outputs.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/brunoreinstein-cloud/chat-assitjur --skill xlsx-brunoreinstein-cloud
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/brunoreinstein-cloud/chat-assitjur/tree/main/.trae/skills/xlsx
Command: npx skills add https://github.com/brunoreinstein-cloud/chat-assitjur --skill xlsx-brunoreinstein-cloud

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill speeds up everyday spreadsheet tasks by automating cleanup, formatting, formula maintenance, and format conversions, turning messy data into clean, ready-to-use sheets.

Core Features & Use Cases

  • Open, read, and edit .xlsx, .xlsm, and related tabular files with consistent formatting.
  • Apply data cleaning operations (trim, deduplicate, standardize) and add or adjust formulas.
  • Convert between CSV/TSV and Excel formats while preserving data types and formulas where possible.
  • Use Case: import a messy CSV, clean it, and export to a polished .xlsx ready for analysis.

Quick Start

Load your input spreadsheet and request a cleaned, formatted .xlsx output.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I clean and convert a messy CSV into a formatted Excel xlsx file?

To clean and convert a messy CSV into an xlsx file, load the input data to automatically trim, deduplicate, and standardize it, then export the results as a polished spreadsheet with proper data types and formulas.

Can I convert TSV files to Excel format while preserving formulas?

Yes, you can convert TSV files to Excel format while preserving formulas by using openpyxl and pandas to read the tabular data and enforce proper formula usage during the format conversion.

What is the best way to automate spreadsheet cleanup for .xlsx and .xlsm files?

Automating spreadsheet cleanup for .xlsx and .xlsm files is done by applying data-cleaning operations like trimming and deduplication, then adjusting formulas and formatting to produce reproducible, ready-to-use sheets.

Does this spreadsheet cleaning approach handle format conversion across different tabular inputs?

Yes, this approach handles format conversion across .xlsx, .xlsm, .csv, and .tsv inputs, performing data transformation and formula maintenance to generate professional output formatting for real-world data workflows.

Why do my spreadsheet formulas break when converting between CSV and Excel formats?

Formulas often break during format conversion due to lost data types or improper formula maintenance; using Python libraries like pandas and openpyxl ensures proper formula usage and reproducible results when converting between CSV and Excel.

Are there limitations when repairing and formatting large spreadsheets with openpyxl and pandas?

When repairing and formatting large spreadsheets with openpyxl and pandas, limitations depend on the complexity of the data cleaning operations and the need to maintain proper formula usage while enforcing professional output formatting.