xlsx

Name: xlsx
Author: ImGoodBai

8installs43forks

How to install xlsx?

imgoodbai/goodable/xlsx

$npx -y skills add ImGoodBai/goodable --skill xlsx

Installs into the current project.

Summary

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) Read

Files · 1

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SKILL.md

1	# Requirements for Outputs
2
3	## All Excel files
4
5	### Zero Formula Errors
6	- Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?)
7
8	### Preserve Existing Templates (when updating templates)
9	- Study and EXACTLY match existing format, style, and conventions when modifying files
10	- Never impose standardized formatting on files with established patterns
11	- Existing template conventions ALWAYS override these guidelines
12
13	## Financial models
14
15	### Color Coding Standards
16	Unless otherwise stated by the user or existing template
17
18	#### Industry-Standard Color Conventions
19	- Blue text (RGB: 0,0,255): Hardcoded inputs, and numbers users will change for scenarios
20	- Black text (RGB: 0,0,0): ALL formulas and calculations
21	- Green text (RGB: 0,128,0): Links pulling from other worksheets within same workbook
22	- Red text (RGB: 255,0,0): External links to other files
23	- Yellow background (RGB: 255,255,0): Key assumptions needing attention or cells that need to be updated
24
25	### Number Formatting Standards
26
27	#### Required Format Rules
28	- Years: Format as text strings (e.g., "2024" not "2,024")
29	- Currency: Use $#,##0 format; ALWAYS specify units in headers ("Revenue ($mm)")
30	- Zeros: Use number formatting to make all zeros "-", including percentages (e.g., "$#,##0;($#,##0);-")
31	- Percentages: Default to 0.0% format (one decimal)
32	- Multiples: Format as 0.0x for valuation multiples (EV/EBITDA, P/E)
33	- Negative numbers: Use parentheses (123) not minus -123
34
35	### Formula Construction Rules
36
37	#### Assumptions Placement
38	- Place ALL assumptions (growth rates, margins, multiples, etc.) in separate assumption cells
39	- Use cell references instead of hardcoded values in formulas
40	- Example: Use =B5(1+$B$6) instead of =B51.05
41
42	#### Formula Error Prevention
43	- Verify all cell references are correct
44	- Check for off-by-one errors in ranges
45	- Ensure consistent formulas across all projection periods
46	- Test with edge cases (zero values, negative numbers)
47	- Verify no unintended circular references
48
49	#### Documentation Requirements for Hardcodes
50	- Comment or in cells beside (if end of table). Format: "Source: [System/Document], [Date], [Specific Reference], [URL if applicable]"
51	- Examples:
52	- "Source: Company 10-K, FY2024, Page 45, Revenue Note, [SEC EDGAR URL]"
53	- "Source: Company 10-Q, Q2 2025, Exhibit 99.1, [SEC EDGAR URL]"
54	- "Source: Bloomberg Terminal, 8/15/2025, AAPL US Equity"
55	- "Source: FactSet, 8/20/2025, Consensus Estimates Screen"
56
57	# XLSX creation, editing, and analysis
58
59	## Overview
60
61	A user may ask you to create, edit, or analyze the contents of an .xlsx file. You have different tools and workflows available for different tasks.
62
63	## Important Requirements
64
65	LibreOffice Required for Formula Recalculation: You can assume LibreOffice is installed for recalculating formula values using the `recalc.py` script. The script automatically configures LibreOffice on first run
66
67	## Reading and analyzing data
68
69	### Data analysis with pandas
70	For data analysis, visualization, and basic operations, use pandas which provides powerful data manipulation capabilities:
71
72	```python
73	import pandas as pd
74
75	# Read Excel
76	df = pd.read_excel('file.xlsx') # Default: first sheet
77	all_sheets = pd.read_excel('file.xlsx', sheet_name=None) # All sheets as dict
78
79	# Analyze
80	df.head() # Preview data
81	df.info() # Column info
82	df.describe() # Statistics
83
84	# Write Excel
85	df.to_excel('output.xlsx', index=False)
86	```
87
88	## Excel File Workflows
89
90	## CRITICAL: Use Formulas, Not Hardcoded Values
91
92	Always use Excel formulas instead of calculating values in Python and hardcoding them. This ensures the spreadsheet remains dynamic and updateable.
93
94	### ❌ WRONG - Hardcoding Calculated Values
95	```python
96	# Bad: Calculating in Python and hardcoding result
97	total = df['Sales'].sum()
98	sheet['B10'] = total # Hardcodes 5000
99
100	# Bad: Computing growth rate in Python
101	growth = (df.iloc[-1]['Revenue'] - df.iloc[0]['Revenue']) / df.iloc[0]['Revenue']
102	sheet['C5'] = growth # Hardcodes 0.15
103
104	# Bad: Python calculation for average
105	avg = sum(values) / len(values)
106	sheet['D20'] = avg # Hardcodes 42.5
107	```
108
109	### ✅ CORRECT - Using Excel Formulas
110	```python
111	# Good: Let Excel calculate the sum
112	sheet['B10'] = '=SUM(B2:B9)'
113
114	# Good: Growth rate as Excel formula
115	sheet['C5'] = '=(C4-C2)/C2'
116
117	# Good: Average using Excel function
118	sheet['D20'] = '=AVERAGE(D2:D19)'
119	```
120
121	This applies to ALL calcu

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xlsx

8installs43forks

View on GitHub

How to install xlsx?

imgoodbai/goodable/xlsx

$npx -y skills add ImGoodBai/goodable --skill xlsx

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Requirements for Outputs
2
3	## All Excel files
4
5	### Zero Formula Errors
6	- Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?)
7
8	### Preserve Existing Templates (when updating templates)
9	- Study and EXACTLY match existing format, style, and conventions when modifying files
10	- Never impose standardized formatting on files with established patterns
11	- Existing template conventions ALWAYS override these guidelines
12
13	## Financial models
14
15	### Color Coding Standards
16	Unless otherwise stated by the user or existing template
17
18	#### Industry-Standard Color Conventions
19	- Blue text (RGB: 0,0,255): Hardcoded inputs, and numbers users will change for scenarios
20	- Black text (RGB: 0,0,0): ALL formulas and calculations
21	- Green text (RGB: 0,128,0): Links pulling from other worksheets within same workbook
22	- Red text (RGB: 255,0,0): External links to other files
23	- Yellow background (RGB: 255,255,0): Key assumptions needing attention or cells that need to be updated
24
25	### Number Formatting Standards
26
27	#### Required Format Rules
28	- Years: Format as text strings (e.g., "2024" not "2,024")
29	- Currency: Use $#,##0 format; ALWAYS specify units in headers ("Revenue ($mm)")
30	- Zeros: Use number formatting to make all zeros "-", including percentages (e.g., "$#,##0;($#,##0);-")
31	- Percentages: Default to 0.0% format (one decimal)
32	- Multiples: Format as 0.0x for valuation multiples (EV/EBITDA, P/E)
33	- Negative numbers: Use parentheses (123) not minus -123
34
35	### Formula Construction Rules
36
37	#### Assumptions Placement
38	- Place ALL assumptions (growth rates, margins, multiples, etc.) in separate assumption cells
39	- Use cell references instead of hardcoded values in formulas
40	- Example: Use =B5(1+$B$6) instead of =B51.05
41
42	#### Formula Error Prevention
43	- Verify all cell references are correct
44	- Check for off-by-one errors in ranges
45	- Ensure consistent formulas across all projection periods
46	- Test with edge cases (zero values, negative numbers)
47	- Verify no unintended circular references
48
49	#### Documentation Requirements for Hardcodes
50	- Comment or in cells beside (if end of table). Format: "Source: [System/Document], [Date], [Specific Reference], [URL if applicable]"
51	- Examples:
52	- "Source: Company 10-K, FY2024, Page 45, Revenue Note, [SEC EDGAR URL]"
53	- "Source: Company 10-Q, Q2 2025, Exhibit 99.1, [SEC EDGAR URL]"
54	- "Source: Bloomberg Terminal, 8/15/2025, AAPL US Equity"
55	- "Source: FactSet, 8/20/2025, Consensus Estimates Screen"
56
57	# XLSX creation, editing, and analysis
58
59	## Overview
60
61	A user may ask you to create, edit, or analyze the contents of an .xlsx file. You have different tools and workflows available for different tasks.
62
63	## Important Requirements
64
65	LibreOffice Required for Formula Recalculation: You can assume LibreOffice is installed for recalculating formula values using the `recalc.py` script. The script automatically configures LibreOffice on first run
66
67	## Reading and analyzing data
68
69	### Data analysis with pandas
70	For data analysis, visualization, and basic operations, use pandas which provides powerful data manipulation capabilities:
71
72	```python
73	import pandas as pd
74
75	# Read Excel
76	df = pd.read_excel('file.xlsx') # Default: first sheet
77	all_sheets = pd.read_excel('file.xlsx', sheet_name=None) # All sheets as dict
78
79	# Analyze
80	df.head() # Preview data
81	df.info() # Column info
82	df.describe() # Statistics
83
84	# Write Excel
85	df.to_excel('output.xlsx', index=False)
86	```
87
88	## Excel File Workflows
89
90	## CRITICAL: Use Formulas, Not Hardcoded Values
91
92	Always use Excel formulas instead of calculating values in Python and hardcoding them. This ensures the spreadsheet remains dynamic and updateable.
93
94	### ❌ WRONG - Hardcoding Calculated Values
95	```python
96	# Bad: Calculating in Python and hardcoding result
97	total = df['Sales'].sum()
98	sheet['B10'] = total # Hardcodes 5000
99
100	# Bad: Computing growth rate in Python
101	growth = (df.iloc[-1]['Revenue'] - df.iloc[0]['Revenue']) / df.iloc[0]['Revenue']
102	sheet['C5'] = growth # Hardcodes 0.15
103
104	# Bad: Python calculation for average
105	avg = sum(values) / len(values)
106	sheet['D20'] = avg # Hardcodes 42.5
107	```
108
109	### ✅ CORRECT - Using Excel Formulas
110	```python
111	# Good: Let Excel calculate the sum
112	sheet['B10'] = '=SUM(B2:B9)'
113
114	# Good: Growth rate as Excel formula
115	sheet['C5'] = '=(C4-C2)/C2'
116
117	# Good: Average using Excel function
118	sheet['D20'] = '=AVERAGE(D2:D19)'
119	```
120
121	This applies to ALL calcu

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Type