Initial commit

.claude-plugin/plugin.json

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+{
+  "name": "document-skills-xlsx",
+  "description": "Skills for working with Excel spreadsheets including creation, editing, formulas, and data manipulation.",
+  "version": "0.0.0-2025.11.28",
+  "author": {
+    "name": "ComposioHQ",
+    "email": "tech@composio.dev"
+  },
+  "skills": [
+    "./"
+  ]
+}

LICENSE.txt

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+© 2025 Anthropic, PBC. All rights reserved.
+
+LICENSE: Use of these materials (including all code, prompts, assets, files,
+and other components of this Skill) is governed by your agreement with
+Anthropic regarding use of Anthropic's services. If no separate agreement
+exists, use is governed by Anthropic's Consumer Terms of Service or
+Commercial Terms of Service, as applicable:
+https://www.anthropic.com/legal/consumer-terms
+https://www.anthropic.com/legal/commercial-terms
+Your applicable agreement is referred to as the "Agreement." "Services" are
+as defined in the Agreement.
+
+ADDITIONAL RESTRICTIONS: Notwithstanding anything in the Agreement to the
+contrary, users may not:
+
+- Extract these materials from the Services or retain copies of these
+  materials outside the Services
+- Reproduce or copy these materials, except for temporary copies created
+  automatically during authorized use of the Services
+- Create derivative works based on these materials
+- Distribute, sublicense, or transfer these materials to any third party
+- Make, offer to sell, sell, or import any inventions embodied in these
+  materials
+- Reverse engineer, decompile, or disassemble these materials
+
+The receipt, viewing, or possession of these materials does not convey or
+imply any license or right beyond those expressly granted above.
+
+Anthropic retains all right, title, and interest in these materials,
+including all copyrights, patents, and other intellectual property rights.

README.md

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+# document-skills-xlsx
+
+Skills for working with Excel spreadsheets including creation, editing, formulas, and data manipulation.

SKILL.md

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+---
+name: xlsx
+description: "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"
+license: Proprietary. LICENSE.txt has complete terms
+---
+
+# 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
+
+#### Required Format Rules
+- **Years**: Format as text strings (e.g., "2024" not "2,024")
+- **Currency**: Use $#,##0 format; ALWAYS specify units in headers ("Revenue ($mm)")
+- **Zeros**: Use number formatting to make all zeros "-", including percentages (e.g., "$#,##0;($#,##0);-")
+- **Percentages**: Default to 0.0% format (one decimal)
+- **Multiples**: Format as 0.0x for valuation multiples (EV/EBITDA, P/E)
+- **Negative numbers**: Use parentheses (123) not minus -123
+
+### Formula Construction Rules
+
+#### Assumptions Placement
+- Place ALL assumptions (growth rates, margins, multiples, etc.) in separate assumption cells
+- Use cell references instead of hardcoded values in formulas
+- Example: Use =B5*(1+$B$6) instead of =B5*1.05
+
+#### Formula Error Prevention
+- Verify all cell references are correct
+- Check for off-by-one errors in ranges
+- Ensure consistent formulas across all projection periods
+- Test with edge cases (zero values, negative numbers)
+- Verify no unintended circular references
+
+#### Documentation Requirements for Hardcodes
+- Comment or in cells beside (if end of table). Format: "Source: [System/Document], [Date], [Specific Reference], [URL if applicable]"
+- Examples:
+  - "Source: Company 10-K, FY2024, Page 45, Revenue Note, [SEC EDGAR URL]"
+  - "Source: Company 10-Q, Q2 2025, Exhibit 99.1, [SEC EDGAR URL]"
+  - "Source: Bloomberg Terminal, 8/15/2025, AAPL US Equity"
+  - "Source: FactSet, 8/20/2025, Consensus Estimates Screen"
+
+# XLSX creation, editing, and analysis
+
+## Overview
+
+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.
+
+## Important Requirements
+
+**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
+
+## Reading and analyzing data
+
+### Data analysis with pandas
+For data analysis, visualization, and basic operations, use **pandas** which provides powerful data manipulation capabilities:
+
+```python
+import pandas as pd
+
+# Read Excel
+df = pd.read_excel('file.xlsx')  # Default: first sheet
+all_sheets = pd.read_excel('file.xlsx', sheet_name=None)  # All sheets as dict
+
+# Analyze
+df.head()      # Preview data
+df.info()      # Column info
+df.describe()  # Statistics
+
+# Write Excel
+df.to_excel('output.xlsx', index=False)
+```
+
+## Excel File Workflows
+
+## CRITICAL: Use Formulas, Not Hardcoded Values
+
+**Always use Excel formulas instead of calculating values in Python and hardcoding them.** This ensures the spreadsheet remains dynamic and updateable.
+
+### ❌ WRONG - Hardcoding Calculated Values
+```python
+# Bad: Calculating in Python and hardcoding result
+total = df['Sales'].sum()
+sheet['B10'] = total  # Hardcodes 5000
+
+# Bad: Computing growth rate in Python
+growth = (df.iloc[-1]['Revenue'] - df.iloc[0]['Revenue']) / df.iloc[0]['Revenue']
+sheet['C5'] = growth  # Hardcodes 0.15
+
+# Bad: Python calculation for average
+avg = sum(values) / len(values)
+sheet['D20'] = avg  # Hardcodes 42.5
+```
+
+### ✅ CORRECT - Using Excel Formulas
+```python
+# Good: Let Excel calculate the sum
+sheet['B10'] = '=SUM(B2:B9)'
+
+# Good: Growth rate as Excel formula
+sheet['C5'] = '=(C4-C2)/C2'
+
+# Good: Average using Excel function
+sheet['D20'] = '=AVERAGE(D2:D19)'
+```
+
+This applies to ALL calculations - totals, percentages, ratios, differences, etc. The spreadsheet should be able to recalculate when source data changes.
+
+## Common Workflow
+1. **Choose tool**: pandas for data, openpyxl for formulas/formatting
+2. **Create/Load**: Create new workbook or load existing file
+3. **Modify**: Add/edit data, formulas, and formatting
+4. **Save**: Write to file
+5. **Recalculate formulas (MANDATORY IF USING FORMULAS)**: Use the recalc.py script
+   ```bash
+   python recalc.py output.xlsx
+   ```
+6. **Verify and fix any errors**: 
+   - The script returns JSON with error details
+   - If `status` is `errors_found`, check `error_summary` for specific error types and locations
+   - Fix the identified errors and recalculate again
+   - Common errors to fix:
+     - `#REF!`: Invalid cell references
+     - `#DIV/0!`: Division by zero
+     - `#VALUE!`: Wrong data type in formula
+     - `#NAME?`: Unrecognized formula name
+
+### Creating new Excel files
+
+```python
+# Using openpyxl for formulas and formatting
+from openpyxl import Workbook
+from openpyxl.styles import Font, PatternFill, Alignment
+
+wb = Workbook()
+sheet = wb.active
+
+# Add data
+sheet['A1'] = 'Hello'
+sheet['B1'] = 'World'
+sheet.append(['Row', 'of', 'data'])
+
+# Add formula
+sheet['B2'] = '=SUM(A1:A10)'
+
+# Formatting
+sheet['A1'].font = Font(bold=True, color='FF0000')
+sheet['A1'].fill = PatternFill('solid', start_color='FFFF00')
+sheet['A1'].alignment = Alignment(horizontal='center')
+
+# Column width
+sheet.column_dimensions['A'].width = 20
+
+wb.save('output.xlsx')
+```
+
+### Editing existing Excel files
+
+```python
+# Using openpyxl to preserve formulas and formatting
+from openpyxl import load_workbook
+
+# Load existing file
+wb = load_workbook('existing.xlsx')
+sheet = wb.active  # or wb['SheetName'] for specific sheet
+
+# Working with multiple sheets
+for sheet_name in wb.sheetnames:
+    sheet = wb[sheet_name]
+    print(f"Sheet: {sheet_name}")
+
+# Modify cells
+sheet['A1'] = 'New Value'
+sheet.insert_rows(2)  # Insert row at position 2
+sheet.delete_cols(3)  # Delete column 3
+
+# Add new sheet
+new_sheet = wb.create_sheet('NewSheet')
+new_sheet['A1'] = 'Data'
+
+wb.save('modified.xlsx')
+```
+
+## Recalculating formulas
+
+Excel files created or modified by openpyxl contain formulas as strings but not calculated values. Use the provided `recalc.py` script to recalculate formulas:
+
+```bash
+python recalc.py <excel_file> [timeout_seconds]
+```
+
+Example:
+```bash
+python recalc.py output.xlsx 30
+```
+
+The script:
+- Automatically sets up LibreOffice macro on first run
+- Recalculates all formulas in all sheets
+- Scans ALL cells for Excel errors (#REF!, #DIV/0!, etc.)
+- Returns JSON with detailed error locations and counts
+- Works on both Linux and macOS
+
+## Formula Verification Checklist
+
+Quick checks to ensure formulas work correctly:
+
+### Essential Verification
+- [ ] **Test 2-3 sample references**: Verify they pull correct values before building full model
+- [ ] **Column mapping**: Confirm Excel columns match (e.g., column 64 = BL, not BK)
+- [ ] **Row offset**: Remember Excel rows are 1-indexed (DataFrame row 5 = Excel row 6)
+
+### Common Pitfalls
+- [ ] **NaN handling**: Check for null values with `pd.notna()`
+- [ ] **Far-right columns**: FY data often in columns 50+ 
+- [ ] **Multiple matches**: Search all occurrences, not just first
+- [ ] **Division by zero**: Check denominators before using `/` in formulas (#DIV/0!)
+- [ ] **Wrong references**: Verify all cell references point to intended cells (#REF!)
+- [ ] **Cross-sheet references**: Use correct format (Sheet1!A1) for linking sheets
+
+### Formula Testing Strategy
+- [ ] **Start small**: Test formulas on 2-3 cells before applying broadly
+- [ ] **Verify dependencies**: Check all cells referenced in formulas exist
+- [ ] **Test edge cases**: Include zero, negative, and very large values
+
+### Interpreting recalc.py Output
+The script returns JSON with error details:
+```json
+{
+  "status": "success",           // or "errors_found"
+  "total_errors": 0,              // Total error count
+  "total_formulas": 42,           // Number of formulas in file
+  "error_summary": {              // Only present if errors found
+    "#REF!": {
+      "count": 2,
+      "locations": ["Sheet1!B5", "Sheet1!C10"]
+    }
+  }
+}
+```
+
+## Best Practices
+
+### Library Selection
+- **pandas**: Best for data analysis, bulk operations, and simple data export
+- **openpyxl**: Best for complex formatting, formulas, and Excel-specific features
+
+### Working with openpyxl
+- Cell indices are 1-based (row=1, column=1 refers to cell A1)
+- Use `data_only=True` to read calculated values: `load_workbook('file.xlsx', data_only=True)`
+- **Warning**: If opened with `data_only=True` and saved, formulas are replaced with values and permanently lost
+- For large files: Use `read_only=True` for reading or `write_only=True` for writing
+- Formulas are preserved but not evaluated - use recalc.py to update values
+
+### Working with pandas
+- Specify data types to avoid inference issues: `pd.read_excel('file.xlsx', dtype={'id': str})`
+- For large files, read specific columns: `pd.read_excel('file.xlsx', usecols=['A', 'C', 'E'])`
+- Handle dates properly: `pd.read_excel('file.xlsx', parse_dates=['date_column'])`
+
+## Code Style Guidelines
+**IMPORTANT**: When generating Python code for Excel operations:
+- Write minimal, concise Python code without unnecessary comments
+- Avoid verbose variable names and redundant operations
+- Avoid unnecessary print statements
+
+**For Excel files themselves**:
+- Add comments to cells with complex formulas or important assumptions
+- Document data sources for hardcoded values
+- Include notes for key calculations and model sections

plugin.lock.json

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+{
+  "$schema": "internal://schemas/plugin.lock.v1.json",
+  "pluginId": "gh:ComposioHQ/awesome-claude-skills:document-skills/xlsx",
+  "normalized": {
+    "repo": null,
+    "ref": "refs/tags/v20251128.0",
+    "commit": "6debd8808dc5525c6928df954ff718274f01513b",
+    "treeHash": "e9aed3e011c8950dca0827c1a5fc358b5d11760da090e77239ebe87483e381db",
+    "generatedAt": "2025-11-28T10:10:09.190808Z",
+    "toolVersion": "publish_plugins.py@0.2.0"
+  },
+  "origin": {
+    "remote": "git@github.com:zhongweili/42plugin-data.git",
+    "branch": "master",
+    "commit": "aa1497ed0949fd50e99e70d6324a29c5b34f9390",
+    "repoRoot": "/Users/zhongweili/projects/openmind/42plugin-data"
+  },
+  "manifest": {
+    "name": "document-skills-xlsx",
+    "description": "Skills for working with Excel spreadsheets including creation, editing, formulas, and data manipulation.",
+    "version": null
+  },
+  "content": {
+    "files": [
+      {
+        "path": "recalc.py",
+        "sha256": "ab1ef0c94536bb23b6c6a3d32769b0401ec3cc85e73c247d574dd84ec73af15d"
+      },
+      {
+        "path": "README.md",
+        "sha256": "37ebbe1da4fc9c123d06c5bcfc1408725c7398bf5136f53e6bc7728031448e27"
+      },
+      {
+        "path": "SKILL.md",
+        "sha256": "020ccdb5932257b66c638ec1157ea248d57fa52c8c01f1f68b559b5970c7df35"
+      },
+      {
+        "path": "LICENSE.txt",
+        "sha256": "79f6d8f5b427252fa3b1c11ecdbdb6bf610b944f7530b4de78f770f38741cfaa"
+      },
+      {
+        "path": ".claude-plugin/plugin.json",
+        "sha256": "9b35924a6fcddf4a4fd0a5f2b3b7b3456182ee388b31c59a501ff1879c0798dd"
+      }
+    ],
+    "dirSha256": "e9aed3e011c8950dca0827c1a5fc358b5d11760da090e77239ebe87483e381db"
+  },
+  "security": {
+    "scannedAt": null,
+    "scannerVersion": null,
+    "flags": []
+  }
+}

recalc.py

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+#!/usr/bin/env python3
+"""
+Excel Formula Recalculation Script
+Recalculates all formulas in an Excel file using LibreOffice
+"""
+
+import json
+import sys
+import subprocess
+import os
+import platform
+from pathlib import Path
+from openpyxl import load_workbook
+
+
+def setup_libreoffice_macro():
+    """Setup LibreOffice macro for recalculation if not already configured"""
+    if platform.system() == 'Darwin':
+        macro_dir = os.path.expanduser('~/Library/Application Support/LibreOffice/4/user/basic/Standard')
+    else:
+        macro_dir = os.path.expanduser('~/.config/libreoffice/4/user/basic/Standard')
+    
+    macro_file = os.path.join(macro_dir, 'Module1.xba')
+    
+    if os.path.exists(macro_file):
+        with open(macro_file, 'r') as f:
+            if 'RecalculateAndSave' in f.read():
+                return True
+    
+    if not os.path.exists(macro_dir):
+        subprocess.run(['soffice', '--headless', '--terminate_after_init'], 
+                      capture_output=True, timeout=10)
+        os.makedirs(macro_dir, exist_ok=True)
+    
+    macro_content = '''<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE script:module PUBLIC "-//OpenOffice.org//DTD OfficeDocument 1.0//EN" "module.dtd">
+<script:module xmlns:script="http://openoffice.org/2000/script" script:name="Module1" script:language="StarBasic">
+    Sub RecalculateAndSave()
+      ThisComponent.calculateAll()
+      ThisComponent.store()
+      ThisComponent.close(True)
+    End Sub
+</script:module>'''
+    
+    try:
+        with open(macro_file, 'w') as f:
+            f.write(macro_content)
+        return True
+    except Exception:
+        return False
+
+
+def recalc(filename, timeout=30):
+    """
+    Recalculate formulas in Excel file and report any errors
+    
+    Args:
+        filename: Path to Excel file
+        timeout: Maximum time to wait for recalculation (seconds)
+    
+    Returns:
+        dict with error locations and counts
+    """
+    if not Path(filename).exists():
+        return {'error': f'File {filename} does not exist'}
+    
+    abs_path = str(Path(filename).absolute())
+    
+    if not setup_libreoffice_macro():
+        return {'error': 'Failed to setup LibreOffice macro'}
+    
+    cmd = [
+        'soffice', '--headless', '--norestore',
+        'vnd.sun.star.script:Standard.Module1.RecalculateAndSave?language=Basic&location=application',
+        abs_path
+    ]
+    
+    # Handle timeout command differences between Linux and macOS
+    if platform.system() != 'Windows':
+        timeout_cmd = 'timeout' if platform.system() == 'Linux' else None
+        if platform.system() == 'Darwin':
+            # Check if gtimeout is available on macOS
+            try:
+                subprocess.run(['gtimeout', '--version'], capture_output=True, timeout=1, check=False)
+                timeout_cmd = 'gtimeout'
+            except (FileNotFoundError, subprocess.TimeoutExpired):
+                pass
+        
+        if timeout_cmd:
+            cmd = [timeout_cmd, str(timeout)] + cmd
+    
+    result = subprocess.run(cmd, capture_output=True, text=True)
+    
+    if result.returncode != 0 and result.returncode != 124:  # 124 is timeout exit code
+        error_msg = result.stderr or 'Unknown error during recalculation'
+        if 'Module1' in error_msg or 'RecalculateAndSave' not in error_msg:
+            return {'error': 'LibreOffice macro not configured properly'}
+        else:
+            return {'error': error_msg}
+    
+    # Check for Excel errors in the recalculated file - scan ALL cells
+    try:
+        wb = load_workbook(filename, data_only=True)
+        
+        excel_errors = ['#VALUE!', '#DIV/0!', '#REF!', '#NAME?', '#NULL!', '#NUM!', '#N/A']
+        error_details = {err: [] for err in excel_errors}
+        total_errors = 0
+        
+        for sheet_name in wb.sheetnames:
+            ws = wb[sheet_name]
+            # Check ALL rows and columns - no limits
+            for row in ws.iter_rows():
+                for cell in row:
+                    if cell.value is not None and isinstance(cell.value, str):
+                        for err in excel_errors:
+                            if err in cell.value:
+                                location = f"{sheet_name}!{cell.coordinate}"
+                                error_details[err].append(location)
+                                total_errors += 1
+                                break
+        
+        wb.close()
+        
+        # Build result summary
+        result = {
+            'status': 'success' if total_errors == 0 else 'errors_found',
+            'total_errors': total_errors,
+            'error_summary': {}
+        }
+        
+        # Add non-empty error categories
+        for err_type, locations in error_details.items():
+            if locations:
+                result['error_summary'][err_type] = {
+                    'count': len(locations),
+                    'locations': locations[:20]  # Show up to 20 locations
+                }
+        
+        # Add formula count for context - also check ALL cells
+        wb_formulas = load_workbook(filename, data_only=False)
+        formula_count = 0
+        for sheet_name in wb_formulas.sheetnames:
+            ws = wb_formulas[sheet_name]
+            for row in ws.iter_rows():
+                for cell in row:
+                    if cell.value and isinstance(cell.value, str) and cell.value.startswith('='):
+                        formula_count += 1
+        wb_formulas.close()
+        
+        result['total_formulas'] = formula_count
+        
+        return result
+        
+    except Exception as e:
+        return {'error': str(e)}
+
+
+def main():
+    if len(sys.argv) < 2:
+        print("Usage: python recalc.py <excel_file> [timeout_seconds]")
+        print("\nRecalculates all formulas in an Excel file using LibreOffice")
+        print("\nReturns JSON with error details:")
+        print("  - status: 'success' or 'errors_found'")
+        print("  - total_errors: Total number of Excel errors found")
+        print("  - total_formulas: Number of formulas in the file")
+        print("  - error_summary: Breakdown by error type with locations")
+        print("    - #VALUE!, #DIV/0!, #REF!, #NAME?, #NULL!, #NUM!, #N/A")
+        sys.exit(1)
+    
+    filename = sys.argv[1]
+    timeout = int(sys.argv[2]) if len(sys.argv) > 2 else 30
+    
+    result = recalc(filename, timeout)
+    print(json.dumps(result, indent=2))
+
+
+if __name__ == '__main__':
+    main()