Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Overall
score
78%
Does it follow best practices?
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Validation for skill structure
Financial model color coding and number formatting
Blue text for inputs
0%
100%
Black text for formulas
100%
100%
Yellow background for assumptions
0%
0%
Assumptions in separate cells
100%
100%
Formulas reference assumptions
50%
100%
Years as text not numbers
100%
100%
Currency format with units
50%
50%
Percentage format one decimal
0%
100%
Negative in parentheses
0%
100%
Uses Excel formulas not Python calcs
100%
100%
Runs recalc.py
0%
0%
Uses openpyxl
100%
100%
Cross-sheet references and formula construction
Green text for cross-sheet refs
0%
0%
Cross-sheet formula syntax
100%
100%
Department totals are formulas
100%
100%
Consolidated totals are formulas
100%
100%
Blue text for input values
0%
0%
Black text for formulas
50%
50%
Currency format with units
50%
0%
Years formatted correctly
100%
100%
Runs recalc.py
50%
0%
Uses openpyxl
100%
100%
Zero formula errors
100%
100%
Zeros displayed as dash
0%
0%
Preserving existing template conventions
Preserves header purple fill
100%
100%
Preserves header white font
100%
100%
Preserves alternating row fills
70%
100%
Preserves Calibri font
100%
100%
Preserves currency format
100%
100%
Does not impose blue text
100%
100%
New data uses formulas
100%
100%
Totals updated correctly
25%
100%
Does not use data_only=True for saving
100%
100%
Runs recalc.py
0%
0%
Preserves border style
100%
100%
Zero formula errors
100%
100%
Valuation multiples formatting and source documentation
Multiples formatted as 0.0x
100%
100%
Source documentation
100%
0%
Blue text for hardcoded inputs
0%
100%
Black text for calculated values
100%
100%
EV calculated by formula
0%
100%
Multiples are Excel formulas
0%
100%
Handles negative/zero EBITDA
100%
100%
Currency format with units in headers
100%
100%
Negative numbers in parentheses
0%
100%
Zeros displayed as dash
0%
100%
Runs recalc.py
0%
0%
Concise code style
50%
100%
Library selection and dynamic formulas over hardcoded values
Uses pandas for data reading
100%
100%
Uses openpyxl for formatting
100%
100%
Totals are Excel formulas
0%
100%
Averages are Excel formulas
0%
100%
Percentages are Excel formulas
0%
100%
Percentage format one decimal
0%
100%
Currency format applied
100%
0%
Cell comments on formulas
0%
0%
Runs recalc.py
0%
0%
Zero formula errors
100%
100%
Concise code style
33%
100%
Does not hardcode pivot values
33%
50%
Table of Contents
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