Clean, format, and convert spreadsheet data using Python and openpyxl.
npx skills add https://github.com/Haseeb-Arshad/TaskHive --skill xlsx-haseeb-arshad
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/Haseeb-Arshad/TaskHive/tree/main/.claude/skills/xlsx Command: npx skills add https://github.com/Haseeb-Arshad/TaskHive --skill xlsx-haseeb-arshad
This Skill automates routine spreadsheet tasks to save time and reduce errors when working with Excel-based data, including reading, cleaning, formatting, and converting between common tabular formats.
Load a target spreadsheet, perform the requested edits or transformations, and save the result as a new spreadsheet file.
High-intent search queries and answers about installing and using this skill.
Automate Excel data cleaning by loading your spreadsheet to restructure misplaced headers and remove junk rows, producing clean, production-ready sheets. This process uses openpyxl to read, validate, and overwrite messy tabular data automatically.
Convert CSV or TSV files into XLSX spreadsheets by importing the source data and applying format conversion steps. The process validates the input tabular structure and exports a newly formatted spreadsheet file with your requested column additions and formulas.
Yes, openpyxl supports reading and editing XLSM files, allowing you to compute formulas and add charting. The automation process applies transformations to .xlsx, .xlsm, .csv, and .tsv inputs while validating results to ensure reproducible outputs.
The best way to add computed columns and apply formatting to existing spreadsheets is through automated Python scripts using openpyxl. This approach reads your input file, applies the requested transformations and formatting, and saves a new spreadsheet file.
Yes, you can create a new spreadsheet from scratch or import data from other sources, then export it to alternate tabular formats. The process uses validation and conversion steps to ensure reproducible results across .xlsx, .xlsm, .csv, and .tsv outputs.
Spreadsheet format conversion fails to produce reproducible results when validation steps are skipped during the read/write process. Including defusedxml and lxml dependencies ensures secure parsing and consistent transformation outputs across your tabular data files.
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