Clean and convert spreadsheet data across XLSX, CSV, and TSV formats.
npx skills add https://github.com/kim1024/agent-skills --skill xlsx-kim1024
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/kim1024/agent-skills/tree/main/skills/skills/xlsx Command: npx skills add https://github.com/kim1024/agent-skills --skill xlsx-kim1024
This skill automates cleaning, formatting, and transforming spreadsheet data across Excel, CSV, TSV, and similar tabular formats, reducing manual cleanup time and minimizing errors.
Load a messy CSV file and have this skill convert, clean, and save it as a polished .xlsx file.
High-intent search queries and answers about installing and using this skill.
Automating CSV to XLSX conversion involves loading your messy CSV file to apply header alignment, remove junk rows, normalize data types, and export a polished spreadsheet with consistent formatting and formulas.
The best way to convert between XLSX, CSV, and TSV formats is to use a deterministic process that opens tabular inputs, applies type normalization and validation steps, and saves the data in your desired consistent spreadsheet format.
Yes, using openpyxl with this skill allows you to open, read, edit, or fix existing .xlsx and .xlsm spreadsheets by aligning headers, applying explicit formulas, and enforcing type normalization for accurate reporting.
Automated spreadsheet data cleaning ensures reproducible type normalization and deterministic error handling by applying explicit validation steps and formulas during the data preparation workflow.
To create a formatted Excel spreadsheet from raw data sources, you load the raw data into the workflow to apply consistent formatting, basic analytics, and formulas, resulting in a polished .xlsx file ready for reporting.
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