excel-automation — Claude Code skill: what it does, how to install
Generates styled Excel reports using openpyxl, extracts data from large xlsm models with stdlib zipfile, and drives Excel on macOS. Handy for financial modeling and rebuilding paper forms.
npx skills add daymade/claude-code-skills --skill excel-automation -a claude-codeWhat excel-automation does
The skill handles Excel authoring and analysis through targeted Python scripts and AppleScript. For reports and mockups, it writes workbooks via openpyxl using investment banking color standards: blue for user inputs, black for formulas, and green for external sheet references.
When workbooks exceed 1MB, contain VBA macros, or crash openpyxl with corrupted defined names, it bypasses third-party parsers. The skill unzips the workbook directly, reading xl/workbook.xml and sheet XML via standard Python zipfile and xml.etree.ElementTree.
Window manipulation via osascript is restricted to macOS and requires explicit execution timeouts to prevent hanging. The provided workflows also expect the uv tool runner to execute scripts and manage dependencies like openpyxl.
What it helps with
- Build financial models in Excel with standard investment banking color coding
- Parse corrupted or heavy
.xlsmworkbooks when openpyxl fails - Convert scanned paper forms into printable, editable XLSX workbooks
- Control sheet selection and zoom in Excel on macOS via AppleScript
Example prompts for the agent
- Generate a formatted valuation report in output.xlsx with standard banking colors
- Extract the DCF sheet from model.xlsm using the low-level zipfile parser
- Convert this paper form scan into an editable XLSX file with print layout
How to install excel-automation
1Skills CLI (Vercel)
npx skills add daymade/claude-code-skills --skill excel-automation -a claude-code2Manually: put the files in place
~/.claude/skills/excel-automation/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/excel-automation/
1Skills CLI (Vercel)
npx skills add daymade/claude-code-skills --skill excel-automation -a codex2Manually: put the files in place
.agents/skills/excel-automation/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add daymade/claude-code-skills --skill excel-automation -a cursor2Manually: put the files in place
.cursor/skills/excel-automation/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install daymade/claude-code-skills excel-automation2Manually: put the files in place
.github/skills/excel-automation/SKILL.md1Skills CLI (Vercel)
npx skills add daymade/claude-code-skills --skill excel-automation -a gemini-cli2Platform CLI
gemini skills install https://github.com/daymade/claude-code-skills --path daymade-docs/excel-automationManually: put the files in place
.devin/skills/excel-automation/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add daymade/claude-code-skills --skill excel-automation -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about excel-automation
How do I install excel-automation in Claude Code?
Run npx skills add daymade/claude-code-skills --skill excel-automation -a claude-code in your terminal.
What does excel-automation do?
It generates formatted Excel sheets with openpyxl, parses complex .xlsm files using Python standard libraries zipfile and xml.etree, and automates Excel windows on macOS.
Why does the skill parse Excel files with zipfile instead of openpyxl?
Files over 1MB or those with corrupted defined names often cause openpyxl to fail. Extracting raw XML from the ZIP archive bypasses those parser errors.
Source text
SKILL.md · MIT
---
name: excel-automation
disable-model-invocation: true
description: >-
Creates formatted Excel reports with openpyxl, parses complex xlsm financial
models with stdlib zipfile+xml when openpyxl fails, and controls Excel windows
on macOS via AppleScript. Reconstructs images or scans of paper forms as
editable XLSX files with printable layouts.
---
# Excel Automation
Create professional Excel files, parse complex financial models, and control Excel on macOS.
For an image or scan of a paper form that needs editable cells and a printable
layout, load [Printable forms](references/printable-forms.md) before creating the
workbook. Follow the host's designated spreadsheet authoring tool; use the
openpyxl examples below only when that tool is permitted.
## Quick Start
Before a command brings Excel forward or changes its visible window, check user
activity and other agents' occupancy. Use only foreground operations covered by
the current task's authorization. If the surface is in use, occupancy is unknown,
or unexpected input occurs, stop input and continue independent background work.
```bash
# 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
| 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)
Apply these colors to financial reports using that convention. For a paper form,
preserve its intended print appearance; do not add input colors by default.
| 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
```python
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:
```python
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
```bash
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
Sheet names in `workbook.xml` link to physical files via `_rels/workbook.xml.rels`:
```python
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
```python
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":
```python
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
```bash
# 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`:
```bash
# 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`
© daymade · MIT · daymade/claude-code-skills