excel-automation
daymade/claude-code-skills
Create, parse, and control Excel files on macOS with professional formatting and complex model support.
What is excel-automation?
Excel Automation provides three capabilities: create formatted Excel reports using openpyxl, parse complex financial models and xlsm files using stdlib zipfile+xml, and control Excel windows via AppleScript. Use this when building professional spreadsheets, handling investment bank financial models that openpyxl cannot parse, or automating Excel on macOS.
- Create professionally formatted Excel files with investment banking color conventions, borders, and number formats using openpyxl
- Parse complex xlsm and xlsx files by directly reading ZIP and XML structures, handling files with VBA macros and corrupted metadata
- Extract cell data and resolve sheet names from Excel's internal ZIP structure using stdlib tools
- Fix corrupted DefinedNames in investment bank financial models
- Control Excel window behavior (zoom, scroll, cell selection) via AppleScript on macOS
How to install excel-automation
npx skills add https://github.com/daymade/claude-code-skills --skill excel-automation- openpyxl library (for creating Excel files)
- Python 3.6+ with zipfile and xml.etree.ElementTree (stdlib)
- Microsoft Excel installed (for AppleScript control on macOS)
- uv package manager for running scripts
How to use excel-automation
- 1.Install the skill using the provided npx command
- 2.For creating formatted Excel: run `uv run --with openpyxl scripts/create_formatted_excel.py output.xlsx`
- 3.For parsing complex xlsm files: run `uv run scripts/parse_complex_excel.py model.xlsm` to list sheets or `uv run scripts/parse_complex_excel.py model.xlsm "SheetName"` to extract a specific sheet
- 4.For fixing corrupted files: run `uv run scripts/parse_complex_excel.py model.xlsm --fix`
- 5.For Excel window control: use `timeout 5 osascript -e 'tell application "Microsoft Excel" to activate'` to prevent hangs
Use cases
- Generate formatted financial reports and dashboards with color-coded assumptions and calculations
- Parse large (>1MB) or complex financial models from investment banks that openpyxl cannot handle
- Extract data from xlsm files containing VBA macros or corrupted metadata
- Automate Excel window interactions on macOS without using Excel's COM interface
- Build sensitivity analysis tables with conditional formatting and red-to-green gradients
- Financial analysts and investment banking professionals
- Data engineers building Excel-based reporting pipelines
- macOS users automating Excel workflows
- Developers parsing legacy or complex Excel files
excel-automation FAQ
Use zipfile+xml when the file is >1MB, has .xlsm extension, contains VBA macros, is from an investment bank, or when openpyxl fails to parse it. Always run `file <path>` first since file extensions can be misleading.
Use blue (0000FF) for user inputs/assumptions, black (000000) for calculated values, green (008000) for cross-sheet references, and white text on dark blue (4472C4) for section headers, following investment banking standards.
Use the sheet name resolution function to map the sheet name to its physical XML file path inside the ZIP, then parse the cells using the shared strings lookup table for text values.
The openpyxl and zipfile+xml parsing work on all platforms. AppleScript control is macOS-only; Windows users would need to use Excel COM automation instead.
This is a corruption marker in investment bank xlsm files where Excel has removed formulas from named ranges. The skill includes a function to detect and remove these corrupted entries before repackaging the file.
Full instructions (SKILL.md)
Source of truth, from daymade/claude-code-skills.
name: excel-automation disable-model-invocation: true description: Create, parse, and control Excel files on macOS. Professional formatting with openpyxl, complex xlsm parsing with stdlib zipfile+xml for investment bank financial models, and Excel window control via AppleScript. Use when creating formatted Excel reports, parsing financial models that openpyxl cannot handle, or automating Excel on macOS.
Excel 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
Related skills
More from daymade/claude-code-skills and the wider catalog.

fact-checker
Verify factual claims in documents using web search and official sources, then propose corrections.

github-contributor
End-to-end playbook for shipping high-quality pull requests to open-source projects you don't maintain — discovery, CONTRIBUTING compliance, PR-size check, minimal-diff implementation, PR description with AI-assisted disclosure, conflict resolution, and post-submission maintainer interaction. Use whenever creating, editing, or pushing a PR to a third-party GitHub repo — "submit a PR", "open a PR", "fix this upstream", "rebase against main", "respond to the bot review", an `owner/repo` target, or 提 PR / 上游 PR / 贡献代码 / rebase 冲突 / 回应维护者.

github-ops
Operate GitHub state via gh CLI and REST/GraphQL—PRs, issues, Actions, repos, permissions, 2FA.

i18n-expert
Set up, audit, and enforce internationalization in React/Vue/Next.js codebases with i18next or similar frameworks.

ima-copilot
Install, diagnose, repair, and personalize Tencent IMA skill with fan-out search and priority boosting.

llm-icon-finder
Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude, GPT, Gemini, etc.), or request icons in SVG/PNG/WEBP formats.