This handles everything spreadsheet related: creating financial models from scratch, analyzing existing data, and modifying templates while preserving their formulas and formatting. It enforces zero formula errors through mandatory recalculation with LibreOffice, and ships with opinionated standards for financial modeling (blue text for inputs, black for formulas, specific number formatting). The documentation is thorough on formula construction and includes a recalc.py script that catches errors like #REF! and #DIV/0! before you share anything. Useful if you're building projection models or need Claude to actually understand Excel conventions instead of just dumping CSV data into cells. The color coding rules alone will save arguments with finance teams.
- skills.sh installs
- 238
- GitHub stars
- 476
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aiskillstore/marketplace --skill xlsx --agent claude-codeInstalls into .claude/skills of the current project.
Files
Requirements for Outputs
All Excel files
Zero Formula Errors
- Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?)
Preserve Existing Templates (when updating templates)
- Study and EXACTLY match existing format, style, and conventions when modifying files
- Never impose standardized formatting on files with established patterns
- Existing template conventions ALWAYS override these guidelines
Financial models
Color Coding Standards
Unless otherwise stated by the user or existing template
Industry-Standard Color Conventions
- Blue text (RGB: 0,0,255): Hardcoded inputs, and numbers users will change for scenarios
- Black text (RGB: 0,0,0): ALL formulas and calculations
- Green text (RGB: 0,128,0): Links pulling from other worksheets within same workbook
- Red text (RGB: 255,0,0): External links to other files
- Yellow background (RGB: 255,255,0): Key assumptions needing attention or cells that need to be updated
Number Formatting Standards
Sponsors
Details
- Repository
- github.com/aiskillstore/marketplace
- Categories
- Data Science & ML, Office & Documents
- First seen
- Jun 3, 2026
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