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DOCX Construction Agent Skill

Word document generation for construction: contracts, proposals, reports, specifications, transmittals. Template-based with dynamic content insertion.

3k tokens
context cost
the whole folder, loaded on every use
3
files
instructions only
0
copies elsewhere
how many repositories repackaged it
264
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill docx-construction

The instruction itself

11 sections, as written by the author

Word Document Generation for Construction

Overview

Create professional Word documents for construction workflows using python-docx. Generate contracts, proposals, reports, and specifications from templates with dynamic data.

Construction Use Cases

1. Contract Generation

Generate construction contracts from templates with project-specific data.

from docx import Document
from docx.shared import Inches, Pt
from docx.enum.text import WD_ALIGN_PARAGRAPH
from datetime import datetime

def generate_subcontract(template_path: str, contract_data: dict, output_path: str) -> str:
    """Generate subcontract from template."""
    doc = Document(template_path)

    # Replace placeholders
    replacements = {
        '{{PROJECT_NAME}}': contract_data['project_name'],
        '{{CONTRACT_NUMBER}}': contract_data['contract_number'],
        '{{SUBCONTRACTOR_NAME}}': contract_data['subcontractor'],
        '{{SCOPE_OF_WORK}}': contract_data['scope'],
        '{{CONTRACT_VALUE}}': f"${contract_data['value']:,.2f}",
        '{{START_DATE}}': contract_data['start_date'],
        '{{END_DATE}}': contract_data['end_date'],
        '{{RETENTION_PERCENT}}': f"{contract_data['retention']}%",
    }

    for paragraph in doc.paragraphs:
        for key, value in replacements.items():
            if key in paragraph.text:
                paragraph.text = paragraph.text.replace(key, value)

    # Also check tables
    for table in doc.tables:
        for row in table.rows:
            for cell in row.cells:
                for key, value in replacements.items():
                    if key in cell.text:
                        cell.text = cell.text.replace(key, value)

    doc.save(output_path)
    return output_path

2. Proposal Document

Create professional project proposals.

def create_proposal(project_info: dict, scope_items: list, pricing: dict) -> Document:
    """Create construction proposal document."""
    doc = Document()

    # Title
    title = doc.add_heading('Project Proposal', 0)
    title.alignment = WD_ALIGN_PARAGRAPH.CENTER

    # Project Info
    doc.add_heading('Project Information', level=1)
    doc.add_paragraph(f"Project: {project_info['name']}")
    doc.add_paragraph(f"Location: {project_info['location']}")
    doc.add_paragraph(f"Client: {project_info['client']}")
    doc.add_paragraph(f"Date: {datetime.now().strftime('%B %d, %Y')}")

    # Scope of Work
    doc.add_heading('Scope of Work', level=1)
    for item in scope_items:
        doc.add_paragraph(item, style='List Bullet')

    # Pricing Table
    doc.add_heading('Pricing Summary', level=1)
    table = doc.add_table(rows=1, cols=3)
    table.style = 'Table Grid'

    # Headers
    headers = table.rows[0].cells
    headers[0].text = 'Description'
    headers[1].text = 'Quantity'
    headers[2].text = 'Amount'

    # Add line items
    for item in pricing['line_items']:
        row = table.add_row().cells
        row[0].text = item['description']
        row[1].text = str(item['quantity'])
        row[2].text = f"${item['amount']:,.2f}"

    # Total row
    total_row = table.add_row().cells
    total_row[0].text = 'TOTAL'
    total_row[2].text = f"${pricing['total']:,.2f}"

    # Terms
    doc.add_heading('Terms & Conditions', level=1)
    doc.add_paragraph(f"Payment Terms: {pricing.get('payment_terms', 'Net 30')}")
    doc.add_paragraph(f"Validity: {pricing.get('validity', '30 days')}")

    return doc

3. Daily Report Generation

Generate daily construction reports.

def generate_daily_report(report_data: dict, output_path: str) -> str:
    """Generate daily construction report."""
    doc = Document()

    # Header
    doc.add_heading(f"Daily Construction Report", 0)
    doc.add_paragraph(f"Project: {report_data['project_name']}")
    doc.add_paragraph(f"Date: {report_data['date']}")
    doc.add_paragraph(f"Report #: {report_data['report_number']}")
    doc.add_paragraph(f"Weather: {report_data['weather']}")

    # Workforce
    doc.add_heading('Workforce On-Site', level=1)
    workforce_table = doc.add_table(rows=1, cols=3)
    workforce_table.style = 'Table Grid'

    headers = workforce_table.rows[0].cells
    headers[0].text = 'Trade'
    headers[1].text = 'Company'
    headers[2].text = 'Headcount'

    for crew in report_data['workforce']:
        row = workforce_table.add_row().cells
        row[0].text = crew['trade']
        row[1].text = crew['company']
        row[2].text = str(crew['count'])

    # Work Completed
    doc.add_heading('Work Completed Today', level=1)
    for item in report_data['work_completed']:
        doc.add_paragraph(f"• {item}")

    # Issues/Delays
    if report_data.get('issues'):
        doc.add_heading('Issues & Delays', level=1)
        for issue in report_data['issues']:
            p = doc.add_paragraph()
            p.add_run(f"{issue['type']}: ").bold = True
            p.add_run(issue['description'])

    # Safety
    doc.add_heading('Safety', level=1)
    doc.add_paragraph(f"Incidents: {report_data.get('incidents', 'None')}")
    doc.add_paragraph(f"Near Misses: {report_data.get('near_misses', 'None')}")

    # Photos placeholder
    if report_data.get('photos'):
        doc.add_heading('Site Photos', level=1)
        for photo in report_data['photos']:
            doc.add_picture(photo['path'], width=Inches(5))
            doc.add_paragraph(photo.get('caption', ''), style='Caption')

    doc.save(output_path)
    return output_path

4. Transmittal Letter

Generate transmittal documents for submittals.

def create_transmittal(transmittal_data: dict) -> Document:
    """Create transmittal letter for submittals."""
    doc = Document()

    # Header info
    doc.add_paragraph(f"Date: {transmittal_data['date']}")
    doc.add_paragraph(f"Transmittal No: {transmittal_data['number']}")
    doc.add_paragraph()

    # To/From
    doc.add_paragraph(f"To: {transmittal_data['to']}")
    doc.add_paragraph(f"From: {transmittal_data['from']}")
    doc.add_paragraph(f"Project: {transmittal_data['project']}")
    doc.add_paragraph(f"Subject: {transmittal_data['subject']}")
    doc.add_paragraph()

    # Items transmitted
    doc.add_paragraph("We are transmitting the following:")

    table = doc.add_table(rows=1, cols=4)
    table.style = 'Table Grid'

    headers = table.rows[0].cells
    headers[0].text = 'No.'
    headers[1].text = 'Description'
    headers[2].text = 'Copies'
    headers[3].text = 'Action'

    for i, item in enumerate(transmittal_data['items'], 1):
        row = table.add_row().cells
        row[0].text = str(i)
        row[1].text = item['description']
        row[2].text = str(item.get('copies', 1))
        row[3].text = item.get('action', 'For Review')

    doc.add_paragraph()

    # Remarks
    if transmittal_data.get('remarks'):
        doc.add_paragraph(f"Remarks: {transmittal_data['remarks']}")

    return doc

5. Specification Section Writer

Generate specification sections.

def generate_spec_section(spec_data: dict) -> Document:
    """Generate CSI-formatted specification section."""
    doc = Document()

    # Section header
    doc.add_heading(f"SECTION {spec_data['number']}", 0)
    doc.add_heading(spec_data['title'].upper(), level=1)

    # Part 1 - General
    doc.add_heading('PART 1 - GENERAL', level=1)

    doc.add_heading('1.1 SUMMARY', level=2)
    doc.add_paragraph(f"A. Section includes: {spec_data['summary']}")

    doc.add_heading('1.2 RELATED SECTIONS', level=2)
    for section in spec_data.get('related_sections', []):
        doc.add_paragraph(f"A. Section {section['number']}: {section['title']}")

    doc.add_heading('1.3 SUBMITTALS', level=2)
    for submittal in spec_data.get('submittals', []):
        doc.add_paragraph(f"A. {submittal}")

    # Part 2 - Products
    doc.add_heading('PART 2 - PRODUCTS', level=1)

    doc.add_heading('2.1 MANUFACTURERS', level=2)
    for mfr in spec_data.get('manufacturers', []):
        doc.add_paragraph(f"A. {mfr}")

    doc.add_heading('2.2 MATERIALS', level=2)
    for material in spec_data.get('materials', []):
        p = doc.add_paragraph(f"A. {material['name']}")
        for prop in material.get('properties', []):
            doc.add_paragraph(f"   1. {prop}", style='List Number')

    # Part 3 - Execution
    doc.add_heading('PART 3 - EXECUTION', level=1)

    doc.add_heading('3.1 INSTALLATION', level=2)
    for step in spec_data.get('installation', []):
        doc.add_paragraph(f"A. {step}")

    doc.add_heading('3.2 QUALITY CONTROL', level=2)
    for qc in spec_data.get('quality_control', []):
        doc.add_paragraph(f"A. {qc}")

    return doc

Integration with DDC Pipeline

# Example: Generate contract from estimate data
import pandas as pd

# Load estimate
estimate = pd.read_excel("project_estimate.xlsx")

# Prepare contract data
contract_data = {
    'project_name': 'Downtown Office Tower',
    'contract_number': 'SC-2026-001',
    'subcontractor': 'ABC Electrical Inc.',
    'scope': 'Complete electrical installation per Division 26',
    'value': estimate[estimate['division'] == '26']['total'].sum(),
    'start_date': '2026-03-01',
    'end_date': '2026-09-30',
    'retention': 10
}

# Generate contract
generate_subcontract('templates/subcontract.docx', contract_data, 'contracts/SC-2026-001.docx')

Dependencies

pip install python-docx

Resources

  • python-docx: https://python-docx.readthedocs.io/
  • ConsensusDocs Templates: https://www.consensusdocs.org/
  • AIA Contract Documents: https://www.aiacontracts.org/

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How to use it

Copy the folder

Take datadrivenconstruction/docx-construction from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

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Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.