Open, clean, transform, and export spreadsheet files in xlsx, csv, and tsv formats.
npx skills add https://github.com/alter123-zz/RaccoonClaw --skill xlsx-alter123-zz
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/alter123-zz/RaccoonClaw/tree/main/skills/xlsx Command: npx skills add https://github.com/alter123-zz/RaccoonClaw --skill xlsx-alter123-zz
This skill automates a broad range of spreadsheet tasks when a file is the primary input or output, including opening, reading, editing, formatting, cleaning, and converting .xlsx, .xlsm, .csv, or .tsv files. It also covers creating new spreadsheets from scratch or from other data sources, and converting between tabular formats. The deliverable must always be a spreadsheet file.
Run the skill to clean a messy CSV and export a polished XLSX ready for reporting.
High-intent search queries and answers about installing and using this skill.
To clean messy CSV data and convert it to XLSX, this skill reads the malformed rows, restructures misplaced headers, and writes back a polished spreadsheet file ready for reporting.
Automating spreadsheet transformations like adding columns and computing formulas is handled by applying Python-based operations that read inputs, apply the data transformations deterministically, and write a new spreadsheet file.
Yes, converting between common tabular formats is fully supported, allowing you to open files like CSV or TSV, apply transformations, and export a ready-to-use XLSX spreadsheet file for business analytics workflows.
Yes, you can open and inspect xlsm files to apply transformations such as formatting cells and creating charts, leveraging the openpyxl dependency to ensure deterministic results when writing the new spreadsheet file.
Using Python-based operations for spreadsheet data transformation ensures deterministic results by programmatically reading inputs, applying consistent cleaning and formatting rules, and writing back a new spreadsheet file without manual errors.
When processing very large spreadsheet files, limitations may arise from memory constraints during Python-based operations, as the process requires reading inputs, applying transformations, and writing back a new spreadsheet file deterministically.
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