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daily-progress-report

@datadrivenconstruction · 收录于 1 周前

Generate automated daily progress reports from site data. Track work completed, labor hours, equipment usage, and weather conditions.

适合你,如果每天需要从现场数据生成进度报告

/ 下载安装
daily-progress-report.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/daily-progress-report
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/daily-progress-report
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/daily-progress-report
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

技能原文 SKILL.md作者撰写 · MIT · 34e0d78

Daily Progress Report Generator

Business Case
Problem Statement

Site managers spend hours creating daily reports:

  • Manual data collection
  • Inconsistent formats
  • Delayed submissions
  • Missing information
Solution

Automated daily progress report generation from structured site data inputs.

Technical Implementation
import pandas as pd
from datetime import datetime, date
from typing import Dict, Any, List
from dataclasses import dataclass
from enum import Enum


class WeatherCondition(Enum):
    CLEAR = "clear"
    CLOUDY = "cloudy"
    RAIN = "rain"
    SNOW = "snow"
    WIND = "wind"
    EXTREME = "extreme"


class WorkStatus(Enum):
    COMPLETED = "completed"
    IN_PROGRESS = "in_progress"
    DELAYED = "delayed"
    NOT_STARTED = "not_started"


@dataclass
class WorkActivity:
    activity_id: str
    description: str
    location: str
    planned_qty: float
    actual_qty: float
    unit: str
    status: WorkStatus
    crew_size: int
    hours_worked: float
    notes: str = ""


@dataclass
class LaborEntry:
    trade: str
    company: str
    workers: int
    hours: float
    overtime_hours: float = 0


@dataclass
class EquipmentEntry:
    equipment_type: str
    equipment_id: str
    hours_used: float
    status: str  # active, idle, maintenance
    operator: str = ""


@dataclass
class DailyReport:
    report_date: date
    project_name: str
    project_number: str
    weather: WeatherCondition
    temperature_high: float
    temperature_low: float
    work_activities: List[WorkActivity]
    labor: List[LaborEntry]
    equipment: List[EquipmentEntry]
    delays: List[str]
    safety_incidents: int
    visitors: List[str]
    deliveries: List[str]
    prepared_by: str


class DailyProgressReporter:
    """Generate daily progress reports."""

    def __init__(self, project_name: str, project_number: str):
        self.project_name = project_name
        self.project_number = project_number

    def create_report(self,
                      report_date: date,
                      weather: WeatherCondition,
                      temp_high: float,
                      temp_low: float,
                      prepared_by: str) -> DailyReport:
        """Create new daily report."""

        return DailyReport(
            report_date=report_date,
            project_name=self.project_name,
            project_number=self.project_number,
            weather=weather,
            temperature_high=temp_high,
            temperature_low=temp_low,
            work_activities=[],
            labor=[],
            equipment=[],
            delays=[],
            safety_incidents=0,
            visitors=[],
            deliveries=[],
            prepared_by=prepared_by
        )

    def add_work_activity(self,
                          report: DailyReport,
                          activity_id: str,
                          description: str,
                          location: str,
                          planned_qty: float,
                          actual_qty: float,
                          unit: str,
                          crew_size: int,
                          hours_worked: float,
                          notes: str = ""):
        """Add work activity to report."""

        # Determine status
        if actual_qty >= planned_qty:
            status = WorkStatus.COMPLETED
        elif actual_qty > 0:
            status = WorkStatus.IN_PROGRESS
        elif actual_qty == 0 and planned_qty > 0:
            status = WorkStatus.DELAYED
        else:
            status = WorkStatus.NOT_STARTED

        activity = WorkActivity(
            activity_id=activity_id,
            description=description,
            location=location,
            planned_qty=planned_qty,
            actual_qty=actual_qty,
            unit=unit,
            status=status,
            crew_size=crew_size,
            hours_worked=hours_worked,
            notes=notes
        )

        report.work_activities.append(activity)

    def add_labor(self,
                  report: DailyReport,
                  trade: str,
                  company: str,
                  workers: int,
                  hours: float,
                  overtime_hours: float = 0):
        """Add labor entry."""

        report.labor.append(LaborEntry(
            trade=trade,
            company=company,
            workers=workers,
            hours=hours,
            overtime_hours=overtime_hours
        ))

    def add_equipment(self,
                      report: DailyReport,
                      equipment_type: str,
                      equipment_id: str,
                      hours_used: float,
                      status: str,
                      operator: str = ""):
        """Add equipment entry."""

        report.equipment.append(EquipmentEntry(
            equipment_type=equipment_type,
            equipment_id=equipment_id,
            hours_used=hours_used,
            status=status,
            operator=operator
        ))

    def calculate_summary(self, report: DailyReport) -> Dict[str, Any]:
        """Calculate report summary metrics."""

        total_workers = sum(l.workers for l in report.labor)
        total_manhours = sum(l.workers * l.hours for l in report.labor)
        total_overtime = sum(l.workers * l.overtime_hours for l in report.labor)
        equipment_hours = sum(e.hours_used for e in report.equipment)

        completed = sum(1 for a in report.work_activities if a.status == WorkStatus.COMPLETED)
        in_progress = sum(1 for a in report.work_activities if a.status == WorkStatus.IN_PROGRESS)
        delayed = sum(1 for a in report.work_activities if a.status == WorkStatus.DELAYED)

        return {
            'total_workers': total_workers,
            'total_manhours': round(total_manhours, 1),
            'total_overtime': round(total_overtime, 1),
            'equipment_hours': round(equipment_hours, 1),
            'activities_completed': completed,
            'activities_in_progress': in_progress,
            'activities_delayed': delayed,
            'safety_incidents': report.safety_incidents,
            'deliveries_count': len(report.deliveries)
        }

    def export_to_excel(self, report: DailyReport, output_path: str) -> str:
        """Export report to Excel."""

        with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
            # Header
            header_df = pd.DataFrame([{
                'Project': report.project_name,
                'Project #': report.project_number,
                'Date': report.report_date,
                'Weather': report.weather.value,
                'High Temp': report.temperature_high,
                'Low Temp': report.temperature_low,
                'Prepared By': report.prepared_by
            }])
            header_df.to_excel(writer, sheet_name='Summary', index=False)

            # Work Activities
            if report.work_activities:
                activities_df = pd.DataFrame([
                    {
                        'Activity ID': a.activity_id,
                        'Description': a.description,
                        'Location': a.location,
                        'Planned': a.planned_qty,
                        'Actual': a.actual_qty,
                        'Unit': a.unit,
                        'Status': a.status.value,
                        'Crew': a.crew_size,
                        'Hours': a.hours_worked,
                        'Notes': a.notes
                    }
                    for a in report.work_activities
                ])
                activities_df.to_excel(writer, sheet_name='Work Activities', index=False)

            # Labor
            if report.labor:
                labor_df = pd.DataFrame([
                    {
                        'Trade': l.trade,
                        'Company': l.company,
                        'Workers': l.workers,
                        'Hours': l.hours,
                        'Overtime': l.overtime_hours,
                        'Total Hours': l.workers * (l.hours + l.overtime_hours)
                    }
                    for l in report.labor
                ])
                labor_df.to_excel(writer, sheet_name='Labor', index=False)

            # Equipment
            if report.equipment:
                equip_df = pd.DataFrame([
                    {
                        'Type': e.equipment_type,
                        'ID': e.equipment_id,
                        'Hours': e.hours_used,
                        'Status': e.status,
                        'Operator': e.operator
                    }
                    for e in report.equipment
                ])
                equip_df.to_excel(writer, sheet_name='Equipment', index=False)

        return output_path

    def generate_text_report(self, report: DailyReport) -> str:
        """Generate text version of report."""

        summary = self.calculate_summary(report)

        lines = [
            f"DAILY PROGRESS REPORT",
            f"=" * 50,
            f"Project: {report.project_name}",
            f"Project #: {report.project_number}",
            f"Date: {report.report_date}",
            f"Prepared by: {report.prepared_by}",
            f"",
            f"WEATHER CONDITIONS",
            f"-" * 30,
            f"Conditions: {report.weather.value}",
            f"Temperature: {report.temperature_low}°C - {report.temperature_high}°C",
            f"",
            f"SUMMARY",
            f"-" * 30,
            f"Total Workers: {summary['total_workers']}",
            f"Total Man-hours: {summary['total_manhours']}",
            f"Equipment Hours: {summary['equipment_hours']}",
            f"Activities Completed: {summary['activities_completed']}",
            f"Activities In Progress: {summary['activities_in_progress']}",
            f"Activities Delayed: {summary['activities_delayed']}",
            f"Safety Incidents: {summary['safety_incidents']}",
        ]

        if report.delays:
            lines.extend([f"", f"DELAYS", f"-" * 30])
            for delay in report.delays:
                lines.append(f"• {delay}")

        return "\n".join(lines)
Quick Start
from datetime import date

# Initialize reporter
reporter = DailyProgressReporter("Office Tower A", "PRJ-2024-001")

# Create report
report = reporter.create_report(
    report_date=date.today(),
    weather=WeatherCondition.CLEAR,
    temp_high=28,
    temp_low=18,
    prepared_by="John Smith"
)

# Add activities
reporter.add_work_activity(
    report,
    activity_id="A-101",
    description="Pour concrete slab Level 3",
    location="Level 3, Zone A",
    planned_qty=150,
    actual_qty=150,
    unit="m3",
    crew_size=8,
    hours_worked=10
)

# Add labor
reporter.add_labor(report, "Concrete", "ABC Concrete Co", 8, 10, 2)

# Export
reporter.export_to_excel(report, "daily_report.xlsx")
Common Use Cases
1. Generate Text Summary
text = reporter.generate_text_report(report)
print(text)
2. Track Delays
report.delays.append("Weather delay - rain from 14:00-16:00")
report.delays.append("Material delivery late by 2 hours")
3. Calculate Metrics
summary = reporter.calculate_summary(report)
print(f"Productivity: {summary['total_manhours']} man-hours")
Resources
  • DDC Book: Chapter 4.1 - Site Data Collection
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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