Read, transform, and export spreadsheets from .xlsx, .xlsm, .csv, and .tsv inputs.
npx skills add https://github.com/stabilefrisur/panmetis --skill xlsx-stabilefrisur
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/stabilefrisur/panmetis/tree/main/src/panmetis/skills/xlsx Command: npx skills add https://github.com/stabilefrisur/panmetis --skill xlsx-stabilefrisur
This Skill automates repetitive spreadsheet tasks, turning manual Excel work into repeatable, reliable workflows by handling common file operations on spreadsheets.
Process an input spreadsheet to read data, apply a set of transformations, and output a new spreadsheet.
High-intent search queries and answers about installing and using this skill.
Yes, converting CSV files to XLSX format is supported by reading the tabular input data, applying any required data cleaning for misaligned headers or malformed rows, and exporting a properly formatted spreadsheet deliverable.
Cleaning messy spreadsheet data with misaligned headers is handled by reading the malformed input rows, applying structural transformations to align the data, and exporting a clean spreadsheet file with validated formatting.
Adding columns and generating charts in an existing XLSX file is achieved by reading the input spreadsheet, computing formulas and applying formatting transformations, then exporting the updated spreadsheet with the new visualizations.
Converting XLSM files is supported as an input format for reading and transforming spreadsheet data; however, the implementation focuses on deterministic data workflows and output validation rather than macro execution or preservation.
Limitations of automating spreadsheet tasks with Python scripts include a focus on deterministic data transformations and format conversion, meaning complex native Excel features like embedded objects or dynamic macro execution are outside the scope of this processing logic.
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