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cwicr-report-generator

Generate professional cost estimation reports from CWICR calculations. HTML, PDF, Excel outputs with charts and breakdowns.

Install / Use

npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill cwicr-report-generator

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

87/100

Supported Platforms

Universal

Our assessment of cwicr-report-generator

cwicr-report-generator scores 87/100 on our quality scale, 2135th of 4,644 Development & Engineering skills we index (top 46%).

Its SKILL.md is 10 KB long, well organised into 10 sections with 3 code examples: a thorough specification that gives an agent plenty to work with.

It has 333 GitHub stars, a meaningful sign that others use it.

Substance
29/30
Structure
18/20
Description
15/15
Adoption
11/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 44 days ago, so cwicr-report-generator is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

cwicr-report-generator compared with similar skills

All 4 of these similar skills score higher than cwicr-report-generator; compare them before choosing.

SkillScoreStarsUpdatedFormat
cwicr-report-generator (this skill)by datadrivenconstruction8733344d agoSKILL.md
Agent-Reachby Panniantong10091.2k19d agoCLAUDE.md
headroomby headroomlabs-ai10074.4ktodayCLAUDE.md
ai-job-searchby MadsLorentzen10045.0k1d agoCLAUDE.md
claude-howtoby luongnv8910041.7k5d agoCLAUDE.md

Frequently asked questions

How do I install cwicr-report-generator?
Run npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill cwicr-report-generator. The install tabs above show the steps for each supported agent.
Which AI agents does cwicr-report-generator work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is cwicr-report-generator safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is cwicr-report-generator still maintained?
The repository was last updated 44 days ago, so cwicr-report-generator is actively maintained.

name: "cwicr-report-generator" description: "Generate professional cost estimation reports from CWICR calculations. HTML, PDF, Excel outputs with charts and breakdowns." homepage: "https://datadrivenconstruction.io" metadata: {"openclaw": {"emoji": "🗄️", "os": ["darwin", "linux", "win32"], "homepage": "https://datadrivenconstruction.io", "requires": {"bins": ["python3"]}}}

CWICR Report Generator

Overview

Generate professional cost reports from CWICR calculations - executive summaries, detailed breakdowns, charts, and export to multiple formats.

Python Implementation

import pandas as pd
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from datetime import datetime
from pathlib import Path
import json


@dataclass
class ReportSection:
    """Report section content."""
    title: str
    content: str
    chart_type: Optional[str] = None
    chart_data: Optional[Dict] = None


@dataclass
class CostReport:
    """Complete cost report."""
    project_name: str
    generated_date: datetime
    total_cost: float
    currency: str
    sections: List[ReportSection]
    line_items: List[Dict]
    summary: Dict[str, Any]


class CWICRReportGenerator:
    """Generate cost estimation reports."""

    def __init__(self, project_name: str = "Project",
                 currency: str = "USD"):
        self.project_name = project_name
        self.currency = currency
        self.sections: List[ReportSection] = []
        self.line_items: List[Dict] = []

    def add_summary(self, summary_data: Dict[str, float]):
        """Add executive summary section."""

        content = f"""
        <div class="summary-box">
            <h3>Cost Summary</h3>
            <table class="summary-table">
                <tr><td>Labor</td><td class="amount">${summary_data.get('labor', 0):,.2f}</td></tr>
                <tr><td>Materials</td><td class="amount">${summary_data.get('material', 0):,.2f}</td></tr>
                <tr><td>Equipment</td><td class="amount">${summary_data.get('equipment', 0):,.2f}</td></tr>
                <tr><td>Overhead</td><td class="amount">${summary_data.get('overhead', 0):,.2f}</td></tr>
                <tr><td>Profit</td><td class="amount">${summary_data.get('profit', 0):,.2f}</td></tr>
                <tr class="total"><td>TOTAL</td><td class="amount">${summary_data.get('total', 0):,.2f}</td></tr>
            </table>
        </div>
        """

        self.sections.append(ReportSection(
            title="Executive Summary",
            content=content,
            chart_type="pie",
            chart_data={
                'labels': ['Labor', 'Materials', 'Equipment', 'Overhead', 'Profit'],
                'values': [
                    summary_data.get('labor', 0),
                    summary_data.get('material', 0),
                    summary_data.get('equipment', 0),
                    summary_data.get('overhead', 0),
                    summary_data.get('profit', 0)
                ]
            }
        ))

    def add_breakdown_by_category(self, breakdown: Dict[str, float]):
        """Add breakdown by category section."""

        rows = ""
        for category, cost in sorted(breakdown.items(), key=lambda x: -x[1]):
            rows += f"<tr><td>{category}</td><td class='amount'>${cost:,.2f}</td></tr>"

        content = f"""
        <table class="detail-table">
            <thead><tr><th>Category</th><th>Cost</th></tr></thead>
            <tbody>{rows}</tbody>
        </table>
        """

        self.sections.append(ReportSection(
            title="Cost by Category",
            content=content,
            chart_type="bar",
            chart_data={
                'labels': list(breakdown.keys()),
                'values': list(breakdown.values())
            }
        ))

    def add_line_items(self, items: List[Dict]):
        """Add detailed line items."""
        self.line_items = items

        rows = ""
        for item in items[:50]:  # Limit for report
            rows += f"""
            <tr>
                <td>{item.get('code', '')}</td>
                <td>{item.get('description', '')[:50]}</td>
                <td>{item.get('quantity', 0):,.2f}</td>
                <td>{item.get('unit', '')}</td>
                <td class="amount">${item.get('unit_price', 0):,.2f}</td>
                <td class="amount">${item.get('total', 0):,.2f}</td>
            </tr>
            """

        content = f"""
        <table class="line-items">
            <thead>
                <tr>
                    <th>Code</th>
                    <th>Description</th>
                    <th>Qty</th>
                    <th>Unit</th>
                    <th>Unit Price</th>
                    <th>Total</th>
                </tr>
            </thead>
            <tbody>{rows}</tbody>
        </table>
        """

        self.sections.append(ReportSection(
            title="Line Items",
            content=content
        ))

    def generate_html(self) -> str:
        """Generate HTML report."""

        sections_html = ""
        for section in self.sections:
            sections_html += f"""
            <section class="report-section">
                <h2>{section.title}</h2>
                {section.content}
            </section>
            """

        html = f"""
<!DOCTYPE html>
<html>
<head>
    <title>Cost Report - {self.project_name}</title>
    <style>
        body {{ font-family: 'Segoe UI', Arial, sans-serif; margin: 40px; background: #f5f5f5; }}
        .report-container {{ max-width: 1200px; margin: 0 auto; background: white; padding: 40px; box-shadow: 0 2px 10px rgba(0,0,0,0.1); }}
        h1 {{ color: #2c3e50; border-bottom: 3px solid #3498db; padding-bottom: 10px; }}
        h2 {{ color: #34495e; margin-top: 30px; }}
        .summary-box {{ background: #ecf0f1; padding: 20px; border-radius: 8px; }}
        table {{ width: 100%; border-collapse: collapse; margin: 20px 0; }}
        th, td {{ padding: 12px; text-align: left; border-bottom: 1px solid #ddd; }}
        th {{ background: #3498db; color: white; }}
        .amount {{ text-align: right; font-family: monospace; }}
        .total {{ font-weight: bold; background: #f8f9fa; }}
        .line-items td {{ font-size: 0.9em; }}
        .meta {{ color: #7f8c8d; font-size: 0.9em; margin-bottom: 20px; }}
    </style>
</head>
<body>
    <div class="report-container">
        <h1>Cost Estimation Report</h1>
        <div class="meta">
            <p>Project: {self.project_name}</p>
            <p>Generated: {datetime.now().strftime('%Y-%m-%d %H:%M')}</p>
            <p>Currency: {self.currency}</p>
        </div>
        {sections_html}
        <footer style="margin-top: 40px; color: #95a5a6; text-align: center;">
            Generated by DDC CWICR | DataDrivenConstruction.io
        </footer>
    </div>
</body>
</html>
        """

        return html

    def save_html(self, output_path: str) -> str:
        """Save HTML report to file."""
        html = self.generate_html()
        with open(output_path, 'w', encoding='utf-8') as f:
            f.write(html)
        return output_path

    def generate_excel(self, output_path: str) -> str:
        """Generate Excel report."""

        with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
            # Summary sheet
            if self.sections:
                summary_data = []
                for section in self.sections:
                    if section.chart_data:
                        for i, label in enumerate(section.chart_data.get('labels', [])):
                            summary_data.append({
                                'Category': label,
                                'Amount': section.chart_data.get('values', [])[i]
                            })
                if summary_data:
                    pd.DataFrame(summary_data).to_excel(
                        writer, sheet_name='Summary', index=False)

            # Line items sheet
            if self.line_items:
                pd.DataFrame(self.line_items).to_excel(
                    writer, sheet_name='Line Items', index=False)

        return output_path

    def generate_json(self) -> str:
        """Generate JSON report."""

        report = {
            'project_name': self.project_name,
            'generated_date': datetime.now().isoformat(),
            'currency': self.currency,
            'sections': [
                {
                    'title': s.title,
                    'chart_data': s.chart_data
                } for s in self.sections
            ],
            'line_items': self.line_items
        }

        return json.dumps(report, indent=2)


class QuickReport:
    """Quick report generation from cost data."""

    @staticmethod
    def from_dataframe(df: pd.DataFrame,
                       project_name: str = "Project") -> CWICRReportGenerator:
        """Generate report from cost DataFrame."""

        gen = CWICRReportGenerator(project_name)

        # Calculate summary
        summary = {
            'labor': df['labor_cost'].sum() if 'labor_cost' in df.columns else 0,
            'material': df['material_cost'].sum() if 'material_cost' in df.columns else 0,
            'equipment': df['equipment_cost'].sum() if 'equipment_cost' in df.columns else 0,
            'overhead': df['overhead_cost'].sum() if 'overhead_cost' in df.columns else 0,
            'profit': df['profit_cost'].sum() if 'profit_cost' in df.columns else 0,
            'total': df['total_cost'].sum() if 'total_cost' in df.columns else 0
        }
        gen.add_summary(summary)

        # Category breakdown
        if 'category' in df.columns and 'total_cost' in df.columns:
            breakdown = df.groupby('category')['total_cost'].sum().to_dict()
            gen.add_breakdown_by_category(breakdown)

        # Line items
        items = df.to_dict('records')
        gen.add_line_items(items)

        return gen

Quick Start

# Create report generator
gen = CWICRReportGenerator("Office Building", currency="EUR")

# Add sections
gen.add_summary({
    'labor': 125000,
    'material': 350000,
    'equipment': 75000,
    'overhead': 82500,
    'profit': 63250,
    'total': 695750
})

# Save reports
gen.save_html("cost_report.html")
gen.generate_excel("cost_report.xlsx")

From DataFrame

# Quick report from cost DataFrame
report = QuickReport.from_dataframe(cost_df, "My Project")
report.save_html("quick_report.html")

Resources

  • DDC Book: Chapter 4.2 - ETL Load Reports

Related Skills

View on GitHub
GitHub Stars333
CategoryDevelopment
Updated1mo ago
Forks82

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions