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excel-automation

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.

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daymade/claude-code-skills
ソースの最終更新活動
2026年10月13日 21:43
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SKILL.md
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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`
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