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pdf-report-generatorPDF report 生成器

Agent Skill

pdf-report-generator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

461

周安装

19

GitHub Stars

113

下载量

150
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:pdf-report-generator(PDF report 生成器)
来源仓库:https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
仓库路径:skills/pdf-report-generator
安装命令:
npx skills add https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction --skill pdf-report-generator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction --skill pdf-report-generator

简介

pdf-report-generator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 可通过 npx skills add 命令从指定仓库安装使用。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

PDF Report Generator

Business Case

Problem Statement

Report generation challenges:

  • Manual report creation is time-consuming
  • Inconsistent formatting
  • Data aggregation from multiple sources
  • Repetitive weekly/monthly reports

Solution

Automated PDF report generation from project data with templates, charts, and customizable sections.

Technical Implementation

import pandas as pd
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from datetime import date, datetime
from enum import Enum
from io import BytesIO

class ReportType(Enum):
    PROGRESS = "progress"
    COST = "cost"
    SAFETY = "safety"
    QUALITY = "quality"
    EXECUTIVE = "executive"
    WEEKLY = "weekly"
    MONTHLY = "monthly"

class SectionType(Enum):
    HEADER = "header"
    TEXT = "text"
    TABLE = "table"
    CHART = "chart"
    KPI_CARDS = "kpi_cards"
    IMAGE = "image"
    PAGE_BREAK = "page_break"

@dataclass
class ReportSection:
    section_type: SectionType
    title: str = ""
    content: Any = None
    style: Dict[str, Any] = field(default_factory=dict)

@dataclass
class KPICard:
    name: str
    value: Any
    unit: str = ""
    target: Any = None
    status: str = "normal"  # normal, warning, critical, good

@dataclass
class ChartConfig:
    chart_type: str  # bar, line, pie
    data: Dict[str, List]
    title: str = ""
    x_label: str = ""
    y_label: str = ""

class PDFReportGenerator:
    """Generate PDF reports from construction project data."""

    def __init__(self, project_name: str, report_type: ReportType):
        self.project_name = project_name
        self.report_type = report_type
        self.sections: List[ReportSection] = []
        self.metadata: Dict[str, Any] = {
            'author': '',
            'date': date.today(),
            'version': '1.0'
        }

    def set_metadata(self, author: str = "", report_date: date = None, version: str = "1.0"):
        """Set report metadata."""
        self.metadata['author'] = author
        self.metadata['date'] = report_date or date.today()
        self.metadata['version'] = version

    def add_header(self, title: str, subtitle: str = ""):
        """Add report header section."""
        self.sections.append(ReportSection(
            section_type=SectionType.HEADER,
            title=title,
            content={'subtitle': subtitle, 'date': self.metadata['date'].isoformat()}
        ))

    def add_text(self, title: str, content: str):
        """Add text section."""
        self.sections.append(ReportSection(
            section_type=SectionType.TEXT,
            title=title,
            content=content
        ))

    def add_table(self, title: str, df: pd.DataFrame, style: Dict[str, Any] = None):
        """Add table section from DataFrame."""
        self.sections.append(ReportSection(
            section_type=SectionType.TABLE,
            title=title,
            content=df.to_dict('records'),
            style=style or {}
        ))

    def add_kpi_cards(self, title: str, kpis: List[KPICard]):
        """Add KPI cards section."""
        self.sections.append(ReportSection(
            section_type=SectionType.KPI_CARDS,
            title=title,
            content=[{
                'name': k.name,
                'value': k.value,
                'unit': k.unit,
                'target': k.target,
                'status': k.status
            } for k in kpis]
        ))

    def add_chart(self, title: str, chart_config: ChartConfig):
        """Add chart section."""
        self.sections.append(ReportSection(
            section_type=SectionType.CHART,
            title=title,
            content={
                'type': chart_config.chart_type,
                'data': chart_config.data,
                'x_label': chart_config.x_label,
                'y_label': chart_config.y_label
            }
        ))

    def add_page_break(self):
        """Add page break."""
        self.sections.append(ReportSection(section_type=SectionType.PAGE_BREAK))

    def generate_progress_report(self, data: Dict[str, Any]):
        """Generate standard progress report."""

        self.add_header(
            f"{self.project_name} - Progress Report",
            f"Report Date: {self.metadata['date']}"
        )

        # KPIs
        kpis = [
            KPICard("Overall Progress", f"{data.get('overall_progress', 0)}%", target="100%",
                   status="good" if data.get('overall_progress', 0) >= data.get('planned_progress', 0) else "warning"),
            KPICard("SPI", f"{data.get('spi', 1.0):.2f}", target="1.00",
                   status="good" if data.get('spi', 1) >= 0.95 else "critical"),
            KPICard("CPI", f"{data.get('cpi', 1.0):.2f}", target="1.00",
                   status="good" if data.get('cpi', 1) >= 0.95 else "critical"),
            KPICard("Days Remaining", str(data.get('days_remaining', 0)), "days")
        ]
        self.add_kpi_cards("Key Performance Indicators", kpis)

        # Progress summary
        self.add_text("Executive Summary", data.get('summary', 'No summary provided.'))

        # Activities table
        if 'activities' in data:
            activities_df = pd.DataFrame(data['activities'])
            self.add_table("Activity Status", activities_df)

        # Progress chart
        if 'progress_history' in data:
            self.add_chart("Progress Trend", ChartConfig(
                chart_type="line",
                data=data['progress_history'],
                title="Progress Over Time",
                x_label="Date",
                y_label="Progress %"
            ))

        # Issues
        if 'issues' in data:
            self.add_text("Current Issues", "\n".join(f"- {issue}" for issue in data['issues']))

    def generate_cost_report(self, data: Dict[str, Any]):
        """Generate cost report."""

        self.add_header(
            f"{self.project_name} - Cost Report",
            f"Period: {data.get('period', 'Current')}"
        )

        # Cost KPIs
        budget = data.get('budget', 0)
        actual = data.get('actual_cost', 0)
        variance = budget - actual

        kpis = [
            KPICard("Budget", f"${budget:,.0f}"),
            KPICard("Actual Cost", f"${actual:,.0f}"),
            KPICard("Variance", f"${variance:,.0f}",
                   status="good" if variance >= 0 else "critical"),
            KPICard("CPI", f"{data.get('cpi', 1.0):.2f}",
                   status="good" if data.get('cpi', 1) >= 0.95 else "warning")
        ]
        self.add_kpi_cards("Cost Summary", kpis)

        # Cost breakdown
        if 'cost_breakdown' in data:
            breakdown_df = pd.DataFrame(data['cost_breakdown'])
            self.add_table("Cost Breakdown by Category", breakdown_df)

        # Cost trend
        if 'cost_history' in data:
            self.add_chart("Cost Trend", ChartConfig(
                chart_type="bar",
                data=data['cost_history'],
                title="Monthly Cost",
                x_label="Month",
                y_label="Cost ($)"
            ))

    def generate_safety_report(self, data: Dict[str, Any]):
        """Generate safety report."""

        self.add_header(
            f"{self.project_name} - Safety Report",
            f"Period: {data.get('period', 'Current')}"
        )

        # Safety KPIs
        kpis = [
            KPICard("Days Without Incident", str(data.get('days_without_incident', 0)), "days"),
            KPICard("TRIR", f"{data.get('trir', 0):.2f}",
                   status="good" if data.get('trir', 0) <= 2 else "critical"),
            KPICard("Near Misses", str(data.get('near_misses', 0))),
            KPICard("Safety Observations", str(data.get('observations', 0)))
        ]
        self.add_kpi_cards("Safety Metrics", kpis)

        # Incidents
        if 'incidents' in data and data['incidents']:
            incidents_df = pd.DataFrame(data['incidents'])
            self.add_table("Incident Log", incidents_df)

        # Training
        if 'training' in data:
            self.add_text("Training Summary", data['training'])

    def to_html(self) -> str:
        """Generate HTML representation of report."""

        html = f"""
<!DOCTYPE html>
<html>
<head>
    <title>{self.project_name} Report</title>
    <style>
        body {{ font-family: Arial, sans-serif; margin: 40px; }}
        .header {{ background: #2196F3; color: white; padding: 20px; margin-bottom: 20px; }}
        .section {{ margin-bottom: 30px; }}
        .section-title {{ color: #333; border-bottom: 2px solid #2196F3; padding-bottom: 5px; }}
        .kpi-grid {{ display: grid; grid-template-columns: repeat(4, 1fr); gap: 15px; }}
        .kpi-card {{ border: 1px solid #ddd; padding: 15px; border-radius: 5px; text-align: center; }}
        .kpi-value {{ font-size: 24px; font-weight: bold; }}
        .kpi-name {{ color: #666; }}
        .status-good {{ border-left: 4px solid #4CAF50; }}
        .status-warning {{ border-left: 4px solid #FF9800; }}
        .status-critical {{ border-left: 4px solid #F44336; }}
        table {{ width: 100%; border-collapse: collapse; }}
        th, td {{ border: 1px solid #ddd; padding: 8px; text-align: left; }}
        th {{ background: #f5f5f5; }}
        .page-break {{ page-break-after: always; }}
    </style>
</head>
<body>
"""

        for section in self.sections:
            if section.section_type == SectionType.HEADER:
                html += f"""
    <div class="header">
        <h1>{section.title}</h1>
        <p>{section.content.get('subtitle', '')}</p>
    </div>
"""
            elif section.section_type == SectionType.TEXT:
                html += f"""
    <div class="section">
        <h2 class="section-title">{section.title}</h2>
        <p>{section.content}</p>
    </div>
"""
            elif section.section_type == SectionType.KPI_CARDS:
                html += f"""
    <div class="section">
        <h2 class="section-title">{section.title}</h2>
        <div class="kpi-grid">
"""
                for kpi in section.content:
                    status_class = f"status-{kpi['status']}" if kpi['status'] != 'normal' else ''
                    html += f"""
            <div class="kpi-card {status_class}">
                <div class="kpi-name">{kpi['name']}</div>
                <div class="kpi-value">{kpi['value']}</div>
                <div class="kpi-target">Target: {kpi['target'] or 'N/A'}</div>
            </div>
"""
                html += "</div></div>"

            elif section.section_type == SectionType.TABLE:
                html += f"""
    <div class="section">
        <h2 class="section-title">{section.title}</h2>
        <table>
            <tr>
"""
                if section.content:
                    for key in section.content[0].keys():
                        html += f"<th>{key}</th>"
                    html += "</tr>"

                    for row in section.content:
                        html += "<tr>"
                        for value in row.values():
                            html += f"<td>{value}</td>"
                        html += "</tr>"

                html += "</table></div>"

            elif section.section_type == SectionType.PAGE_BREAK:
                html += '<div class="page-break"></div>'

        html += "</body></html>"
        return html

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

        with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
            # Metadata
            meta_df = pd.DataFrame([{
                'Project': self.project_name,
                'Report Type': self.report_type.value,
                'Date': self.metadata['date'],
                'Author': self.metadata['author'],
                'Version': self.metadata['version']
            }])
            meta_df.to_excel(writer, sheet_name='Metadata', index=False)

            # Each section
            table_count = 0
            for section in self.sections:
                if section.section_type == SectionType.TABLE:
                    table_count += 1
                    sheet_name = section.title[:31] if section.title else f"Table_{table_count}"
                    df = pd.DataFrame(section.content)
                    df.to_excel(writer, sheet_name=sheet_name, index=False)

                elif section.section_type == SectionType.KPI_CARDS:
                    kpi_df = pd.DataFrame(section.content)
                    kpi_df.to_excel(writer, sheet_name='KPIs', index=False)

        return output_path

    def get_report_structure(self) -> Dict[str, Any]:
        """Get report structure as dictionary."""

        return {
            'project': self.project_name,
            'type': self.report_type.value,
            'metadata': self.metadata,
            'sections': [
                {
                    'type': s.section_type.value,
                    'title': s.title,
                    'content': s.content
                }
                for s in self.sections
            ]
        }

Quick Start

# Create report generator
report = PDFReportGenerator("Office Building A", ReportType.PROGRESS)
report.set_metadata(author="Project Manager", version="1.0")

# Generate progress report
report.generate_progress_report({
    'overall_progress': 65,
    'planned_progress': 60,
    'spi': 1.08,
    'cpi': 0.97,
    'days_remaining': 120,
    'summary': 'Project is ahead of schedule but slightly over budget.',
    'activities': [
        {'Activity': 'Foundation', 'Status': 'Complete', 'Progress': 100},
        {'Activity': 'Structure', 'Status': 'In Progress', 'Progress': 80},
        {'Activity': 'MEP', 'Status': 'In Progress', 'Progress': 45}
    ],
    'issues': ['Material delivery delay', 'Weather impact on exterior work']
})

# Generate HTML
html = report.to_html()
with open("report.html", "w") as f:
    f.write(html)

Common Use Cases

1. Cost Report

report = PDFReportGenerator("Project X", ReportType.COST)
report.generate_cost_report({
    'period': 'January 2024',
    'budget': 5000000,
    'actual_cost': 4800000,
    'cpi': 1.04,
    'cost_breakdown': [
        {'Category': 'Labor', 'Budget': 2000000, 'Actual': 1950000},
        {'Category': 'Materials', 'Budget': 2500000, 'Actual': 2400000},
        {'Category': 'Equipment', 'Budget': 500000, 'Actual': 450000}
    ]
})

2. Safety Report

report = PDFReportGenerator("Project X", ReportType.SAFETY)
report.generate_safety_report({
    'days_without_incident': 45,
    'trir': 1.2,
    'near_misses': 3,
    'observations': 25
})

3. Custom Report

report = PDFReportGenerator("Project X", ReportType.WEEKLY)
report.add_header("Weekly Status Report", "Week 15")
report.add_kpi_cards("Summary", [
    KPICard("Tasks Completed", "15"),
    KPICard("Hours Worked", "480")
])
report.add_text("Notes", "Key accomplishments this week...")

Resources

适合场景

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02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.34%
按下载量换算55

Claude

29.41%
按下载量换算44

Cursor

19.14%
按下载量换算29

Gemini CLI

8.43%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

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当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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