Create, edit, and validate Excel workbooks with openpyxl and LibreOffice recalculation.
npx skills add https://github.com/jaguarliuu/miniclaw --skill xlsx-jaguarliuu
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/jaguarliuu/miniclaw/tree/main/.miniclaw/skills/xlsx Command: npx skills add https://github.com/jaguarliuu/miniclaw --skill xlsx-jaguarliuu
Excel-based data work often involves manual formatting, inconsistent formulas, and error-prone edits. This Skill automates creation, editing, and validation of spreadsheets to ensure formula integrity, formatting consistency, and reproducible results.
Open a workbook, apply formatting and formulas, run the recalculation script, and save a validated workbook.
High-intent search queries and answers about installing and using this skill.
You can validate Excel formulas and ensure reproducible recalculation using the provided LibreOffice-based recalculation script (scripts/recalc.py). This ensures formula integrity and correct data outputs by validating formulas after applying edits programmatically.
The best way to clean and format Excel data for reporting is to automate the workflow using Python. This Skill applies formatting, audits formulas, and validates data cleanliness, providing a repeatable pipeline that ensures template fidelity and reproducible results across standard spreadsheet workflows.
Yes, you can use openpyxl and pandas together for Excel data cleaning and conversion. This Skill leverages both dependencies to automate workbook editing, maintain content-type correctness during packaging, and handle CSV/TSV conversions within standard spreadsheet workflows.
Automating Excel formula auditing works with CSV and TSV file conversions as part of standard spreadsheet workflows. The Skill handles template packaging and unpacking, ensuring content-type correctness and formula integrity when converting between Excel and CSV/TSV formats.
Excel formulas may show errors after automated editing if recalculation is not validated. This Skill solves the problem by providing a LibreOffice-based recalculation script (scripts/recalc.py) to validate formulas, ensuring formula integrity and reproducible results after programmatic edits.
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