Token导航 LogoToken导航TokenDH.com
开发权限需确认github未标认证来源可访问许可证需确认审计通过

estimate-builder估算生成器

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

546

周安装

23

GitHub Stars

113

下载量

191
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:estimate-builder(估算生成器)
来源仓库:https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
仓库路径:skills/estimate-builder
安装命令:
npx skills add https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction --skill estimate-builder
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 estimate-builder

简介

构建结构化施工估算模型,支持成本分类与 markup 计算。

  • 自动生成专业级预算表并导出多格式报告。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。
  • 按人工、材料、设备等类别组织费用结构。
  • 涉及实际项目数据时应验证参数合理性后再应用。
  • estimate-builder 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Estimate Builder

Business Case

Problem Statement

Estimate creation challenges:

  • Complex cost structures
  • Multiple cost categories
  • Markup calculations
  • Format requirements vary

Solution

Structured estimate builder that creates professional construction estimates with proper cost categorization, markups, and export capabilities.

Technical Implementation

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

class CostCategory(Enum):
    LABOR = "labor"
    MATERIAL = "material"
    EQUIPMENT = "equipment"
    SUBCONTRACTOR = "subcontractor"
    OTHER = "other"

@dataclass
class EstimateLineItem:
    line_number: int
    wbs_code: str
    description: str
    quantity: float
    unit: str
    unit_cost: float
    category: CostCategory
    notes: str = ""

    @property
    def total_cost(self) -> float:
        return round(self.quantity * self.unit_cost, 2)

@dataclass
class CostSummary:
    labor: float = 0
    material: float = 0
    equipment: float = 0
    subcontractor: float = 0
    other: float = 0

    @property
    def direct_cost(self) -> float:
        return self.labor + self.material + self.equipment + self.subcontractor + self.other

@dataclass
class Markup:
    name: str
    rate: float  # As decimal (0.10 = 10%)
    base: str = "direct"  # "direct" or "subtotal"

class EstimateBuilder:
    """Build construction project estimates."""

    def __init__(self, project_name: str, project_number: str = ""):
        self.project_name = project_name
        self.project_number = project_number
        self.estimate_date = date.today()
        self.items: List[EstimateLineItem] = []
        self.markups: List[Markup] = []
        self._next_line = 1

    def add_item(self,
                 wbs_code: str,
                 description: str,
                 quantity: float,
                 unit: str,
                 unit_cost: float,
                 category: CostCategory = CostCategory.OTHER,
                 notes: str = "") -> EstimateLineItem:
        """Add line item to estimate."""

        item = EstimateLineItem(
            line_number=self._next_line,
            wbs_code=wbs_code,
            description=description,
            quantity=quantity,
            unit=unit,
            unit_cost=unit_cost,
            category=category,
            notes=notes
        )
        self.items.append(item)
        self._next_line += 1
        return item

    def add_markup(self, name: str, rate: float, base: str = "direct"):
        """Add markup (overhead, profit, contingency, etc.)."""
        self.markups.append(Markup(name=name, rate=rate, base=base))

    def set_standard_markups(self,
                             overhead: float = 0.15,
                             profit: float = 0.10,
                             contingency: float = 0.05):
        """Set standard construction markups."""

        self.markups = [
            Markup("General Conditions / Overhead", overhead, "direct"),
            Markup("Profit", profit, "subtotal"),
            Markup("Contingency", contingency, "subtotal")
        ]

    def get_cost_summary(self) -> CostSummary:
        """Get cost summary by category."""

        summary = CostSummary()
        for item in self.items:
            cost = item.total_cost
            if item.category == CostCategory.LABOR:
                summary.labor += cost
            elif item.category == CostCategory.MATERIAL:
                summary.material += cost
            elif item.category == CostCategory.EQUIPMENT:
                summary.equipment += cost
            elif item.category == CostCategory.SUBCONTRACTOR:
                summary.subcontractor += cost
            else:
                summary.other += cost
        return summary

    def calculate_total(self) -> Dict[str, Any]:
        """Calculate total estimate with markups."""

        summary = self.get_cost_summary()
        direct_cost = summary.direct_cost

        markups_detail = []
        subtotal = direct_cost

        for markup in self.markups:
            if markup.base == "direct":
                amount = direct_cost * markup.rate
            else:
                amount = subtotal * markup.rate

            markups_detail.append({
                'name': markup.name,
                'rate': f"{markup.rate * 100:.1f}%",
                'amount': round(amount, 2)
            })
            subtotal += amount

        return {
            'cost_summary': {
                'labor': round(summary.labor, 2),
                'material': round(summary.material, 2),
                'equipment': round(summary.equipment, 2),
                'subcontractor': round(summary.subcontractor, 2),
                'other': round(summary.other, 2),
                'direct_cost': round(direct_cost, 2)
            },
            'markups': markups_detail,
            'total_markups': round(subtotal - direct_cost, 2),
            'grand_total': round(subtotal, 2)
        }

    def get_items_by_wbs(self) -> Dict[str, List[EstimateLineItem]]:
        """Group items by WBS code prefix."""

        by_wbs = {}
        for item in self.items:
            prefix = item.wbs_code.split('.')[0] if '.' in item.wbs_code else item.wbs_code
            if prefix not in by_wbs:
                by_wbs[prefix] = []
            by_wbs[prefix].append(item)
        return by_wbs

    def import_from_df(self, df: pd.DataFrame):
        """Import line items from DataFrame."""

        for _, row in df.iterrows():
            self.add_item(
                wbs_code=str(row.get('wbs_code', '')),
                description=row['description'],
                quantity=float(row['quantity']),
                unit=row['unit'],
                unit_cost=float(row['unit_cost']),
                category=CostCategory(row.get('category', 'other').lower()),
                notes=row.get('notes', '')
            )

    def export_to_df(self) -> pd.DataFrame:
        """Export estimate to DataFrame."""

        data = []
        for item in self.items:
            data.append({
                'Line': item.line_number,
                'WBS': item.wbs_code,
                'Description': item.description,
                'Qty': item.quantity,
                'Unit': item.unit,
                'Unit Cost': item.unit_cost,
                'Total': item.total_cost,
                'Category': item.category.value,
                'Notes': item.notes
            })
        return pd.DataFrame(data)

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

        totals = self.calculate_total()

        with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
            # Cover sheet
            cover_df = pd.DataFrame([{
                'Project Name': self.project_name,
                'Project Number': self.project_number,
                'Estimate Date': self.estimate_date,
                'Total Items': len(self.items),
                'Direct Cost': totals['cost_summary']['direct_cost'],
                'Grand Total': totals['grand_total']
            }])
            cover_df.to_excel(writer, sheet_name='Summary', index=False)

            # Line items
            items_df = self.export_to_df()
            items_df.to_excel(writer, sheet_name='Line Items', index=False)

            # Cost breakdown
            breakdown_df = pd.DataFrame([totals['cost_summary']])
            breakdown_df.to_excel(writer, sheet_name='Cost Breakdown', index=False)

            # Markups
            if totals['markups']:
                markups_df = pd.DataFrame(totals['markups'])
                markups_df.to_excel(writer, sheet_name='Markups', index=False)

        return output_path

    def validate(self) -> List[str]:
        """Validate estimate for common issues."""

        issues = []

        if not self.items:
            issues.append("Estimate has no line items")

        for item in self.items:
            if item.quantity <= 0:
                issues.append(f"Line {item.line_number}: Invalid quantity")
            if item.unit_cost < 0:
                issues.append(f"Line {item.line_number}: Negative unit cost")
            if not item.description:
                issues.append(f"Line {item.line_number}: Missing description")

        if not self.markups:
            issues.append("No markups defined (overhead, profit)")

        return issues

Quick Start

# Create estimate
estimate = EstimateBuilder("Office Building A", "PRJ-2024-001")

# Add line items
estimate.add_item("01.01", "Site Preparation", 5000, "SF", 2.50, CostCategory.OTHER)
estimate.add_item("03.01", "Concrete Foundation", 200, "CY", 350, CostCategory.MATERIAL)
estimate.add_item("03.02", "Foundation Formwork", 1500, "SF", 8.50, CostCategory.LABOR)
estimate.add_item("05.01", "Structural Steel", 50, "TON", 4500, CostCategory.SUBCONTRACTOR)

# Set markups
estimate.set_standard_markups(overhead=0.15, profit=0.10, contingency=0.05)

# Calculate total
result = estimate.calculate_total()
print(f"Direct Cost: ${result['cost_summary']['direct_cost']:,.2f}")
print(f"Grand Total: ${result['grand_total']:,.2f}")

Common Use Cases

1. Cost by Category

summary = estimate.get_cost_summary()
print(f"Labor: ${summary.labor:,.2f}")
print(f"Material: ${summary.material:,.2f}")

2. Export to Excel

estimate.export_to_excel("estimate_output.xlsx")

3. Validate Estimate

issues = estimate.validate()
for issue in issues:
    print(f"Warning: {issue}")

Resources

适合场景

01

用户想查找某类 Agent Skill 时

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

38.68%
按下载量换算74

Claude

29.88%
按下载量换算57

Cursor

18.13%
按下载量换算35

Gemini CLI

8.47%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

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

继续浏览同类 Skills