xlsx-construction

name	xlsx-construction
description	Excel/spreadsheet processing for construction: estimates, schedules, tracking logs, quantity takeoffs. Formulas, formatting, analysis.
homepage	https://datadrivenconstruction.io
metadata	{"openclaw":{"emoji":"📄","os":["win32"],"homepage":"https://datadrivenconstruction.io","requires":{"bins":"[Truncated]"}}}

Excel Processing for Construction

Overview

Adapted from Anthropic's XLSX skill for construction spreadsheet workflows.

Construction Use Cases

1. Cost Estimate Template

from openpyxl import Workbook
from openpyxl.styles import Font, Alignment, Border, Side, PatternFill
from openpyxl.utils import get_column_letter

def create_estimate_template(output_path: str, project_name: str):
    """Create construction cost estimate template."""
    wb = Workbook()
    ws = wb.active
    ws.title = "Cost Estimate"

    # Styles
    header_font = Font(bold=True, size=12)
    currency_format = '$#,##0.00'
    thin_border = Border(
        left=Side(style='thin'),
        right=Side(style='thin'),
        top=Side(style='thin'),
        bottom=Side(style='thin')
    )
    header_fill = PatternFill(start_color="4472C4", end_color="4472C4", fill_type="solid")

    # Project header
    ws['A1'] = "CONSTRUCTION COST ESTIMATE"
    ws['A1'].font = Font(bold=True, size=16)
    ws['A2'] = f"Project: {project_name}"
    ws['A3'] = "Date:"
    ws['B3'] = "=TODAY()"

    # Column headers (row 5)
    headers = ['CSI Code', 'Description', 'Quantity', 'Unit', 'Unit Cost',
               'Labor', 'Material', 'Equipment', 'Total']
    for col, header in enumerate(headers, 1):
        cell = ws.cell(row=5, column=col, value=header)
        cell.font = Font(bold=True, color="FFFFFF")
        cell.fill = header_fill
        cell.border = thin_border
        cell.alignment = Alignment(horizontal='center')

    # Set column widths
    widths = [12, 40, 10, 8, 12, 12, 12, 12, 14]
    for i, width in enumerate(widths, 1):
        ws.column_dimensions[get_column_letter(i)].width = width

    # Sample data rows with formulas
    for row in range(6, 26):  # 20 empty rows
        # Total formula: Labor + Material + Equipment
        ws.cell(row=row, column=9,
                value=f"=SUM(F{row}:H{row})")

        # Apply borders
        for col in range(1, 10):
            ws.cell(row=row, column=col).border = thin_border

    # Currency formatting
    for col in [5, 6, 7, 8, 9]:  # Cost columns
        for row in range(6, 26):
            ws.cell(row=row, column=col).number_format = currency_format

    # Subtotals section
    ws['G27'] = "SUBTOTAL"
    ws['I27'] = "=SUM(I6:I25)"
    ws['I27'].number_format = currency_format

    ws['G28'] = "Contingency (10%)"
    ws['I28'] = "=I27*0.10"

    ws['G29'] = "TOTAL"
    ws['I29'] = "=I27+I28"
    ws['I29'].font = Font(bold=True, size=14)

    wb.save(output_path)
    return output_path

2. Schedule Tracker

def create_schedule_tracker(output_path: str, tasks: list):
    """Create construction schedule tracking spreadsheet."""
    wb = Workbook()
    ws = wb.active
    ws.title = "Schedule"

    # Headers
    headers = ['ID', 'Task', 'Start Date', 'End Date', 'Duration',
               'Progress', 'Status', 'Predecessor', 'Notes']

    # Status dropdown options
    from openpyxl.worksheet.datavalidation import DataValidation
    status_dv = DataValidation(
        type="list",
        formula1='"Not Started,In Progress,Complete,On Hold,Delayed"',
        allow_blank=True
    )
    ws.add_data_validation(status_dv)

    # Header row
    for col, header in enumerate(headers, 1):
        cell = ws.cell(row=1, column=col, value=header)
        cell.font = Font(bold=True)

    # Add tasks with formulas
    for i, task in enumerate(tasks, 2):
        ws.cell(row=i, column=1, value=task.get('id', i-1))
        ws.cell(row=i, column=2, value=task.get('name', ''))
        ws.cell(row=i, column=3, value=task.get('start', ''))
        ws.cell(row=i, column=, value=task.get(, ))

        
        ws.cell(row=i, column=, value=)

        
        ws.cell(row=i, column=, value=task.get(, ))
        ws.cell(row=i, column=).number_format = 

        
        status_cell = ws.cell(row=i, column=, value=task.get(, ))
        status_dv.add(status_cell)

    wb.save(output_path)
     output_path

3. RFI Log Template

def create_rfi_log(output_path: str):
    """Create RFI tracking log."""
    wb = Workbook()
    ws = wb.active
    ws.title = "RFI Log"

    headers = [
        'RFI #', 'Date Submitted', 'Subject', 'Spec Section',
        'Drawing Ref', 'Submitted By', 'Assigned To',
        'Response Due', 'Date Responded', 'Status', 'Days Open'
    ]

    for col, header in enumerate(headers, 1):
        ws.cell(row=1, column=col, value=header)

    # Days Open formula (in column K)
    for row in range(2, 100):
        ws.cell(row=row, column=11,
                value=f'=IF(I{row}="",TODAY()-B{row},I{row}-B{row})')

    # Conditional formatting for overdue items
    from openpyxl.formatting.rule import FormulaRule
    from openpyxl.styles import PatternFill

    red_fill = PatternFill(bgColor="FFC7CE")
    ws.conditional_formatting.add(
        'K2:K100',
        FormulaRule(formula=['K2>7'], fill=red_fill)
    )

    wb.save(output_path)
    return output_path

4. Quantity Takeoff Processing

import pandas as pd

def process_qto_from_bim(bim_xlsx: str, output_path: str):
    """Process BIM export for quantity takeoff."""
    # Read BIM export
    df = pd.read_excel(bim_xlsx)

    # Group by category and type
    qto = df.groupby(['Category', 'Type']).agg({
        'Volume': 'sum',
        'Area': 'sum',
        'Length': 'sum',
        'Count': 'count'
    }).reset_index()

    # Rename columns for clarity
    qto.columns = ['Category', 'Type', 'Total Volume (m³)',
                   'Total Area (m²)', 'Total Length (m)', 'Element Count']

    # Create workbook with formatting
    with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
        qto.to_excel(writer, sheet_name='QTO Summary', index=False)

        # Get workbook to apply formatting
        wb = writer.book
        ws = wb['QTO Summary']

        # Format numeric columns
        for col in ['C', 'D', 'E']:
            for row in range(2, len(qto) + 2):
                ws[].number_format = 

     output_path

Best Practices for Construction Spreadsheets

Color Coding (Industry Standard)

• Blue text: Input values (quantities, rates)
• Black text: Formulas and calculations
• Green text: Links from other sheets
• Yellow highlight: Assumptions to verify

Formula Guidelines

1. Never hardcode values in formulas
2. Create separate assumption cells
3. Use named ranges for clarity
4. Include unit checks

Error Prevention

# Add error handling to formulas
formula_with_error_check = "=IFERROR(B5/C5, 0)"

Integration with DDC

# Convert BIM export to estimate
from ddc_toolkit import RevitExporter, CWICRSemanticSearch

# Export BIM data
exporter = RevitExporter()
bim_data = exporter.read_elements("project.xlsx")

# Process QTO
qto = process_qto_from_bim("project.xlsx", "qto_output.xlsx")

# Match to cost database
search = CWICRSemanticSearch()
for category in bim_data['Category'].unique():
    prices = search.search_work_items(category)
    # Apply prices to QTO...

Dependencies

pip install openpyxl pandas xlrd

Resources

• Original: Anthropic XLSX Skill
• OpenPyXL Docs: https://openpyxl.readthedocs.io/