Open, edit, format, and convert spreadsheet files to analytics-ready data.
npx skills add https://github.com/tusosos/manus-knowledge-base --skill xlsx-tusosos
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/tusosos/manus-knowledge-base/tree/main/skills/xlsx Command: npx skills add https://github.com/tusosos/manus-knowledge-base --skill xlsx-tusosos
Open, read, clean, format, and convert spreadsheet files (xlsx, xlsm, csv, or TSV) to ensure data is analysis-ready and consistently structured.
Open the provided spreadsheet and clean headers, format columns consistently, and apply a simple formula to validate results.
High-intent search queries and answers about installing and using this skill.
To clean and format spreadsheet data, you can open your file, normalize column headers, apply consistent formatting, and use formulas to compute values, resulting in analytics-ready data without hard-coded values.
Yes, you can convert between CSV, TSV, and XLSX formats. The process cleans headers and applies formulas while preserving your existing templates, delivering a polished and consistently structured spreadsheet output.
The best way to normalize headers in an XLSM file is to open it and apply standard formatting rules to the header row. This ensures your columns are consistently structured for downstream data analysis.
Yes, applying formulas without hard-coded values is supported. You can compute simple or complex formulas directly within the spreadsheet, ensuring dynamic calculations and clean, analytics-ready data outputs.
Spreadsheet conversion may lose column formatting if standard formatting is not explicitly applied. By normalizing column formats and cleaning headers during the conversion process, you ensure consistently structured data.
To prepare a spreadsheet for data migration, open the file, clean the headers, normalize column formats, and convert it to your target tabular format such as CSV or TSV to generate clean data for the migration.
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