Open, read, edit, repair, and convert .xlsx, .xlsm, .csv, and .tsv files.
npx skills add https://github.com/XIYBHK/claude-skills --skill xlsx-xiybhk
Please help me install this Agent Skill. Skill: xlsx 电子表格 Source: https://github.com/XIYBHK/claude-skills/tree/main/xlsx Command: npx skills add https://github.com/XIYBHK/claude-skills --skill xlsx-xiybhk
This Skill reduces the manual toil of spreadsheet work by offering automated opening, reading, editing, repairing, and converting .xlsx, .xlsm, .csv, and .tsv files, delivering cleaned and ready-to-use spreadsheets.
Provide a path to a spreadsheet file and specify the desired output format; the tool will load, process, and save the result.
High-intent search queries and answers about installing and using this skill.
You can automate cleaning messy xlsx files by running Python scripts that load your spreadsheet, normalize inconsistent headers, apply formulas, and export a polished .xlsx file with reproducible outputs.
The best way to convert CSV to xlsx while preserving formulas is using Python tooling like openpyxl, which reads the source data, applies the necessary formulas, and saves the result as a formula-preserving .xlsx file.
You can repair corrupted xlsx files using Python by loading the damaged spreadsheet with openpyxl and defusedxml, which safely parses the underlying XML structure and rewrites a clean, reproducible .xlsx output.
Yes, openpyxl supports opening, reading, and editing .xlsm files, allowing you to process macro-enabled spreadsheets, clean the data, apply formatting, and save the modified .xlsm output.
You apply formulas and format cells in a spreadsheet via Python by loading the file with openpyxl, programmatically assigning the desired formulas and cell styles, and saving the updated .xlsx or .xlsm file.
A limitation of using Python for spreadsheet conversion is that complex native Excel features like dynamic array formulas or pivot tables may not fully translate, though standard formulas and cell formatting are preserved reproducibly.
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