
Excel Automation
FreeAutomate Excel file creation and parsing on macOS.
Free · Opens the source repo
What Excel Automation does
Excel Automation is a powerful skill designed for developers and analysts who need to create, parse, and control Excel files on macOS. Utilizing libraries such as openpyxl for creating formatted reports and the built-in zipfile and xml.etree for parsing complex Excel files, this skill is particularly useful for handling financial models that may include VBA macros or exceed 1MB in size. The ability to automate Excel window control via AppleScript further enhances its utility, allowing for seamless interaction with Excel applications.
The skill provides three primary capabilities: creating professional Excel files with precise formatting, parsing complex .xlsm files that openpyxl may struggle with, and controlling Excel windows programmatically. This makes it ideal for finance professionals, data analysts, and developers who require reliable tools for generating reports or extracting data from intricate spreadsheets. The professional formatting adheres to investment banking standards, ensuring that the output is both visually appealing and functionally robust.
To get started, users can quickly create formatted Excel reports or parse complex financial models using straightforward command-line scripts. The skill also includes a decision tree to help users choose the right tool based on the complexity of their Excel files. With detailed examples and core formatting patterns provided, users can easily adapt the scripts to fit their specific needs, making it a versatile addition to any developer's toolkit.
When to use it
Use this skill when you need to generate professional Excel reports or when dealing with complex .xlsm files that require advanced parsing techniques.
When not to use it
This skill may not be suitable for simple Excel files under 1MB or those that do not require advanced features like VBA parsing.
What you can build with it
Generating Financial Reports
Use the skill to create formatted Excel reports that adhere to investment banking standards, ensuring clarity and professionalism.
Parsing Complex Financial Models
Leverage the parsing capabilities to extract data from large and complex .xlsm files that openpyxl cannot handle.
Automating Excel Tasks
Utilize AppleScript to automate interactions with Excel, such as activating the application or manipulating data within spreadsheets.
How to install Excel Automation
View source1. Install with the skills CLI
npx skills add daymade/claude-code-skills/excel-automation --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by daymadeExcel Automation
Create professional Excel files, parse complex financial models, and control Excel on macOS.
Quick Start
# Create a formatted Excel report
uv run --with openpyxl scripts/create_formatted_excel.py output.xlsx
# Parse a complex xlsm that openpyxl can't handle
uv run scripts/parse_complex_excel.py model.xlsm # List sheets
uv run scripts/parse_complex_excel.py model.xlsm "DCF" # Extract a sheet
uv run scripts/parse_complex_excel.py model.xlsm --fix # Fix corrupted names
# Control Excel via AppleScript (with timeout to prevent hangs)
timeout 5 osascript -e 'tell application "Microsoft Excel" to activate'
Overview
Three capabilities:
| Capability | Tool | When to Use |
|---|---|---|
| Create formatted Excel | openpyxl | Reports, mockups, dashboards |
| Parse complex xlsm/xlsx | zipfile + xml.etree | Financial models, VBA workbooks, >1MB files |
| Control Excel window | AppleScript (osascript) | Zoom, scroll, select cells programmatically |
Tool Selection Decision Tree
Is the file simple (data export, no VBA, <1MB)?
├─ YES → openpyxl or pandas
└─ NO
├─ Is it .xlsm or from investment bank / >1MB?
│ └─ YES → zipfile + xml.etree.ElementTree (stdlib)
└─ Is it truly .xls (BIFF format)?
└─ YES → xlrd
Signals of "complex" Excel: file >1MB, .xlsm extension, from investment bank/broker, contains VBA macros.
IMPORTANT: Always run file <path> first — extensions lie. A .xls file may actually be a ZIP-based xlsx.
Creating Excel Files (openpyxl)
Professional Color Convention (Investment Banking Standard)
| Color | RGB Code | Meaning |
|---|---|---|
| Blue | 0000FF | User input / assumption |
| Black | 000000 | Calculated value |
| Green | 008000 | Cross-sheet reference |
| White on dark blue | FFFFFF on 4472C4 | Section headers |
| Dark blue text | 1F4E79 | Title |
Core Formatting Patterns
from openpyxl.styles import Font, PatternFill, Border, Side, Alignment
# Fonts
BLUE_FONT = Font(color="0000FF", size=10, name="Calibri")
BLACK_FONT_BOLD = Font(color="000000", size=10, name="Calibri", bold=True)
GREEN_FONT = Font(color="008000", size=10, name="Calibri")
HEADER_FONT = Font(color="FFFFFF", size=12, name="Calibri", bold=True)
# Fills
DARK_BLUE_FILL = PatternFill("solid", fgColor="4472C4")
LIGHT_BLUE_FILL = PatternFill("solid", fgColor="D9E1F2")
INPUT_GREEN_FILL = PatternFill("solid", fgColor="E2EFDA")
LIGHT_GRAY_FILL = PatternFill("solid", fgColor="F2F2F2")
# Borders
THIN_BORDER = Border(bottom=Side(style="thin", color="B2B2B2"))
BOTTOM_DOUBLE = Border(bottom=Side(style="double", color="000000"))
Number Format Codes
| Format | Code | Example |
|---|---|---|
| Currency | '$#,##0' | $1,234 |
| Currency with decimals | '$#,##0.00' | $1,234.56 |
| Percentage | '0.0%' | 12.3% |
| Percentage (2 decimal) | '0.00%' | 12.34% |
| Number with commas | '#,##0' | 1,234 |
| Multiplier | '0.0x' | 1.5x |
Conditional Formatting (Sensitivity Tables)
Red-to-green gradient for sensitivity analysis:
from openpyxl.formatting.rule import ColorScaleRule
rule = ColorScaleRule(
start_type="min", start_color="F8696B", # Red (low)
mid_type="percentile", mid_value=50, mid_color="FFEB84", # Yellow (mid)
end_type="max", end_color="63BE7B" # Green (high)
)
ws.conditional_formatting.add(f"B2:F6", rule)
Execution
uv run --with openpyxl scripts/create_formatted_excel.py
Full template script: See scripts/create_formatted_excel.py
Parsing Complex Excel (zipfile + xml)
When openpyxl fails on complex xlsm files (corrupted DefinedNames, complex VBA), use stdlib directly.
XLSX Internal ZIP Structure
file.xlsx (ZIP archive)
├── [Content_Types].xml
├── xl/
│ ├── workbook.xml ← Sheet names + order
│ ├── sharedStrings.xml ← All text values (lookup table)
│ ├── worksheets/
│ │ ├── sheet1.xml ← Cell data for sheet 1
│ │ ├── sheet2.xml ← Cell data for sheet 2
│ │ └── ...
│ └── _rels/
│ └── workbook.xml.rels ← Maps rId → sheetN.xml
└── _rels/.rels
Sheet Name Resolution (Two-Step)
Sheet names in workbook.xml link to physical files via _rels/workbook.xml.rels:
import zipfile
import xml.etree.ElementTree as ET
MAIN_NS = 'http://schemas.openxmlformats.org/spreadsheetml/2006/main'
REL_NS = 'http://schemas.openxmlformats.org/officeDocument/2006/relationships'
RELS_NS = 'http://schemas.openxmlformats.org/package/2006/relationships'
def get_sheet_path(zf, sheet_name):
"""Resolve sheet name to physical XML file path inside ZIP."""
# Step 1: workbook.xml → find rId for the sheet name
wb_xml = ET.fromstring(zf.read('xl/workbook.xml'))
sheets = wb_xml.findall(f'.//{{{MAIN_NS}}}sheet')
rid = None
for s in sheets:
if s.get('name') == sheet_name:
rid = s.get(f'{{{REL_NS}}}id')
break
if not rid:
raise ValueError(f"Sheet '{sheet_name}' not found")
# Step 2: workbook.xml.rels → map rId to file path
rels_xml = ET.fromstring(zf.read('xl/_rels/workbook.xml.rels'))
for rel in rels_xml.findall(f'{{{RELS_NS}}}Relationship'):
if rel.get('Id') == rid:
return 'xl/' + rel.get('Target')
raise ValueError(f"No file mapping for {rid}")
Cell Data Extraction
def extract_cells(zf, sheet_path):
"""Extract all cell values from a sheet XML."""
# Build shared strings lookup
shared = []
try:
ss_xml = ET.fromstring(zf.read('xl/sharedStrings.xml'))
for si in ss_xml.findall(f'{{{MAIN_NS}}}si'):
texts = si.itertext()
shared.append(''.join(texts))
except KeyError:
pass # No shared strings
# Parse sheet cells
sheet_xml = ET.fromstring(zf.read(sheet_path))
rows = sheet_xml.findall(f'.//{{{MAIN_NS}}}row')
data = {}
for row in rows:
for cell in row.findall(f'{{{MAIN_NS}}}c'):
ref = cell.get('r') # e.g., "A1"
cell_type = cell.get('t') # "s" = shared string, None = number
val_el = cell.find(f'{{{MAIN_NS}}}v')
if val_el is not None and val_el.text:
if cell_type == 's':
data[ref] = shared[int(val_el.text)]
else:
try:
data[ref] = float(val_el.text)
except ValueError:
data[ref] = val_el.text
return data
Fixing Corrupted DefinedNames
Investment bank xlsm files often have corrupted <definedName> entries containing "Formula removed":
def fix_defined_names(zf_in_path, zf_out_path):
"""Remove corrupted DefinedNames and repackage."""
import shutil, tempfile
with tempfile.TemporaryDirectory() as tmp:
tmp = Path(tmp)
with zipfile.ZipFile(zf_in_path, 'r') as zf:
zf.extractall(tmp)
wb_xml_path = tmp / 'xl' / 'workbook.xml'
tree = ET.parse(wb_xml_path)
root = tree.getroot()
ns = {'main': MAIN_NS}
defined_names = root.find('.//main:definedNames', ns)
if defined_names is not None:
for name in list(defined_names):
if name.text and "Formula removed" in name.text:
defined_names.remove(name)
tree.write(wb_xml_path, encoding='utf-8', xml_declaration=True)
with zipfile.ZipFile(zf_out_path, 'w', zipfile.ZIP_DEFLATED) as zf:
for fp in tmp.rglob('*'):
if fp.is_file():
zf.write(fp, fp.relative_to(tmp))
Full template script: See scripts/parse_complex_excel.py
Controlling Excel on macOS (AppleScript)
All commands verified on macOS with Microsoft Excel.
Verified Commands
# Activate Excel (bring to front)
osascript -e 'tell application "Microsoft Excel" to activate'
# Open a file
osascript -e 'tell application "Microsoft Excel" to open POSIX file "/path/to/file.xlsx"'
# Set zoom level (percentage)
osascript -e 'tell application "Microsoft Excel"
set zoom of active window to 120
end tell'
# Scroll to specific row
osascript -e 'tell application "Microsoft Excel"
set scroll row of active window to 45
end tell'
# Scroll to specific column
osascript -e 'tell application "Microsoft Excel"
set scroll column of active window to 3
end tell'
# Select a cell range
osascript -e 'tell application "Microsoft Excel"
select range "A1" of active sheet
end tell'
# Select a specific sheet by name
osascript -e 'tell application "Microsoft Excel"
activate object sheet "DCF" of active workbook
end tell'
Timing and Timeout
Always add sleep 1 between AppleScript commands and subsequent operations (e.g., screenshot) to allow UI rendering.
IMPORTANT: osascript will hang indefinitely if Excel is not running or not responding. Always wrap with timeout:
# Safe pattern: 5-second timeout
timeout 5 osascript -e 'tell application "Microsoft Excel" to activate'
# Check exit code: 124 = timed out
if [ $? -eq 124 ]; then
echo "Excel not responding — is it running?"
fi
Common Mistakes
| Mistake | Correction |
|---|---|
| openpyxl fails on complex xlsm → try monkey-patching | Switch to zipfile + xml.etree immediately |
Count Chinese characters with wc -c | Use wc -m (chars, not bytes; Chinese = 3 bytes/char) |
| Trust file extension | Run file <path> first to confirm actual format |
openpyxl load_workbook hangs on large xlsm | Use zipfile for targeted extraction instead of loading entire workbook |
Important Notes
- Execute Python scripts with
uv run --with openpyxl(never use system Python) - LibreOffice (
soffice --headless) can convert formats and recalculate formulas - Detailed formatting reference: See
references/formatting-reference.md
Frequently asked questions about Excel Automation
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