OpenClaw

auto-estimate-generator

Automatically generate estimates from QTO data. Apply pricing rules to BIM quantities for cost estimates.

datadrivenconstruction0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install datadrivenconstruction/auto-estimate-generator

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Auto Estimate Generator

Business Case

Problem Statement

Manual estimate creation challenges:

Time-consuming quantity mapping
Inconsistent pricing rules
Errors in calculations
Difficulty updating estimates

Solution

Automated estimate generation from BIM/QTO data using configurable pricing rules and assembly mappings.

Technical Implementation

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


class ElementType(Enum):
    WALL = "wall"
    FLOOR = "floor"
    CEILING = "ceiling"
    DOOR = "door"
    WINDOW = "window"
    COLUMN = "column"
    BEAM = "beam"
    FOUNDATION = "foundation"
    ROOF = "roof"
    STAIR = "stair"
    MEP = "mep"


@dataclass
class QTOItem:
    element_id: str
    element_type: ElementType
    name: str
    quantity: float
    unit: str
    properties: Dict[str, Any] = field(default_factory=dict)


@dataclass
class PricingRule:
    rule_id: str
    name: str
    element_type: ElementType
    conditions: Dict[str, Any] = field(default_factory=dict)
    unit_cost: float = 0
    assembly_code: str = ""
    cost_breakdown: Dict[str, float] = field(default_factory=dict)


@dataclass
class EstimateItem:
    qto_element_id: str
    description: str
    quantity: float
    unit: str
    unit_cost: float
    total_cost: float
    rule_applied: str
    wbs_code: str = ""


class AutoEstimateGenerator:
    """Generate estimates from QTO data automatically."""

    def __init__(self, project_name: str):
        self.project_name = project_name
        self.pricing_rules: List[PricingRule] = []
        self.qto_items: List[QTOItem] = []
        self.estimate_items: List[EstimateItem] = []
        self.unmapped_items: List[QTOItem] = []

    def add_pricing_rule(self, rule: PricingRule):
        """Add pricing rule."""
        self.pricing_rules.appe...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/datadrivenconstruction/auto-estimate-generator
Version: —
Commit: 79ed62e157ac3c2b02760d4c87a5f6117971748a
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Auto Estimate Generator

## Business Case

### Problem Statement
Manual estimate creation challenges:
- Time-consuming quantity mapping
- Inconsistent pricing rules
- Errors in calculations
- Difficulty updating estimates

### Solution
Automated estimate generation from BIM/QTO data using configurable pricing rules and assembly mappings.

## Technical Implementation

```python
import pandas as pd
from typing import Dict, Any, List, Optional, Callable
from dataclasses import dataclass, field
from enum import Enum


class ElementType(Enum):
    WALL = "wall"
    FLOOR = "floor"
    CEILING = "ceiling"
    DOOR = "door"
    WINDOW = "window"
    COLUMN = "column"
    BEAM = "beam"
    FOUNDATION = "foundation"
    ROOF = "roof"
    STAIR = "stair"
    MEP = "mep"


@dataclass
class QTOItem:
    element_id: str
    element_type: ElementType
    name: str
    quantity: float
    unit: str
    properties: Dict[str, Any] = field(default_factory=dict)


@dataclass
class PricingRule:
    rule_id: str
    name: str
    element_type: ElementType
    conditions: Dict[str, Any] = field(default_factory=dict)
    unit_cost: float = 0
    assembly_code: str = ""
    cost_breakdown: Dict[str, float] = field(default_factory=dict)


@dataclass
class EstimateItem:
    qto_element_id: str
    description: str
    quantity: float
    unit: str
    unit_cost: float
    total_cost: float
    rule_applied: str
    wbs_code: str = ""


class AutoEstimateGenerator:
    """Generate estimates from QTO data automatically."""

    def __init__(self, project_name: str):
        self.project_name = project_name
        self.pricing_rules: List[PricingRule] = []
        self.qto_items: List[QTOItem] = []
        self.estimate_items: List[EstimateItem] = []
        self.unmapped_items: List[QTOItem] = []

    def add_pricing_rule(self, rule: PricingRule):
        """Add pricing rule."""
        self.pricing_rules.appe...

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