Automates spreadsheet preparation and transformation from xlsx, xlsm, csv, and tsv formats.
npx skills add https://github.com/lemu/sea-prototype-template --skill xlsx-lemu
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/lemu/sea-prototype-template/tree/main/.agents/skills/xlsx Command: npx skills add https://github.com/lemu/sea-prototype-template --skill xlsx-lemu
This Skill automates the end-to-end handling of spreadsheets, reducing manual effort across common tasks such as opening, reading, editing, fixing, creating, and converting data in formats like xlsx, xlsm, csv, and tsv, and delivering a clean, ready-to-use spreadsheet.
Convert a messy CSV into a tidy .xlsx ready for analysis.
High-intent search queries and answers about installing and using this skill.
You can automate converting a messy CSV into a clean xlsx file by applying built-in operations for data normalization and format conversion, which transforms irregular tabular data into a structured, ready-to-use spreadsheet.
Yes, you can batch process multiple spreadsheet files to normalize headers and apply consistent formatting across a set of xlsx, xlsm, csv, or tsv files, preparing the data uniformly for analysis.
Yes, this spreadsheet automation approach enforces deterministic, formula-based transformations through built-in operations, ensuring that data integrity and formula computations are preserved during transformation.
The best way to clean and restructure messy tabular data is to apply automated data normalization and formatting operations, which read various tabular formats and output a single, tidy spreadsheet file ready for analysis.
You can use xlsx, xlsm, csv, and tsv files as input formats for automated data cleaning, allowing you to read, edit, and convert various tabular data sources into a standardized spreadsheet output.
You need automated spreadsheet preparation instead of manual editing when handling end-to-end workflows like opening, fixing, creating, or converting large sets of tabular files, significantly reducing manual effort and ensuring deterministic data transformation.
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