Clean, transform, and standardize spreadsheet data across XLSX, CSV, and TSV inputs.
npx skills add https://github.com/alexjcm/agent-skillset --skill xlsx-alexjcm
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/alexjcm/agent-skillset/tree/main/skills/tools/skill-creator/xlsx Command: npx skills add https://github.com/alexjcm/agent-skillset --skill xlsx-alexjcm
This Skill automates common spreadsheet tasks so you can open, read, edit, and fix data across formats like .xlsx, .xlsm, .csv, and .tsv, turning manual work into repeatable, reliable results.
Process the provided spreadsheet to clean and standardize data, returning a normalized XLSX.
High-intent search queries and answers about installing and using this skill.
To automate data cleaning, you can process spreadsheet files to deduplicate records, normalize columns, and format dates, producing a standardized output file using libraries like pandas and openpyxl.
Yes, you can convert CSV files to XLSX format while updating or preserving formulas and formatting by parsing input data and writing it into a structured spreadsheet deliverable.
Yes, this approach supports opening, reading, editing, and fixing tabular data across XLSM, XLSX, CSV, and TSV file formats to normalize data for downstream analysis.
The best way to standardize customer records is to clean, deduplicate, and format dates within the CSV, then export the normalized data as a ready-to-use XLSX file.
Yes, parsing, manipulating, and writing spreadsheet data while preserving or updating formulas and formatting requires libraries such as pandas and openpyxl.
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