Automate spreadsheet tasks on .xlsx, .xlsm, .csv, and .tsv files.
npx skills add https://github.com/wanyusheng63-alt/vocab-learn --skill xlsx-wanyusheng63-alt
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/wanyusheng63-alt/vocab-learn/tree/main/.codebuddy/skills/xlsx Command: npx skills add https://github.com/wanyusheng63-alt/vocab-learn --skill xlsx-wanyusheng63-alt
This skill automates the repetitive, error-prone tasks involved in managing spreadsheet data, enabling you to open, edit, format, clean, and convert spreadsheets without manual scripting.
Open the provided spreadsheet, apply the requested edits (e.g., add a column, compute a formula, adjust formatting), and output a new spreadsheet file.
High-intent search queries and answers about installing and using this skill.
To automate spreadsheet tasks like adding columns and computing formulas, you can use this skill to open .xlsx, .xlsm, .csv, or .tsv files and apply modifications. It leverages Python libraries like pandas and openpyxl to produce a ready-to-use output file.
The best way to clean messy spreadsheet data and convert formats is to apply automated transformations that restructure inputs into well-formed outputs. This skill processes .xlsx, .xlsm, .csv, and .tsv files to clean and restructure data automatically.
Yes, openpyxl preserves existing formulas and styles when modifying an Excel workbook. This skill leverages openpyxl and pandas to edit .xlsx and .xlsm files while maintaining the original formulas and styles, producing a ready-to-use spreadsheet.
Yes, you can use pandas to fix and restructure messy .csv or .tsv files. This skill reads tabular inputs in those formats, cleans the messy data, and outputs a well-formed spreadsheet file ready for downstream use.
To create a new spreadsheet from scratch or from data sources, this skill applies automated scripts to generate a well-formed output file. It structures the raw data into a formatted .xlsx workbook with computed formulas and applied formatting.
Limitations when automating spreadsheet formatting and charting with Python depend on the capabilities of openpyxl and pandas. This intermediate-level skill handles common formatting and charting operations for .xlsx and .xlsm files but may face constraints with highly complex or non-standard Excel features.
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