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Extract structured data from construction specifications. Parse CSI sections, requirements, submittals, and product data from spec documents.
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/specification-extractor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。
Extract structured data from construction specification documents. Parse CSI MasterFormat sections, identify requirements, submittals, product standards, and compile actionable data for estimating and procurement.
Automated spec extraction enables:
from dataclasses import dataclass, field
from typing import List, Dict, Any, Optional
import re
import pdfplumber
from pathlib import Path
@dataclass
class SpecSection:
number: str # e.g., "03 30 00"
title: str
part1_general: Dict[str, Any]
part2_products: Dict[str, Any]
part3_execution: Dict[str, Any]
raw_text: str
@dataclass
class ProductRequirement:
section: str
manufacturer: str
product_name: str
model: str
standards: List[str]
properties: Dict[str, str]
@dataclass
class SubmittalRequirement:
section: str
submittal_type: str # shop drawings, samples, product data, etc.
description: str
timing: str
copies: int
@dataclass
class SpecExtractionResult:
document_name: str
total_pages: int
sections: List[SpecSection]
products: List[ProductRequirement]
submittals: List[SubmittalRequirement]
standards_referenced: List[str]
class SpecificationExtractor:
"""Extract structured data from construction specifications."""
# CSI MasterFormat patterns
CSI_SECTION_PATTERN = r'^(\d{2}\s?\d{2}\s?\d{2})\s*[-–]\s*(.+?)$'
PART_PATTERN = r'^PART\s+(\d+)\s*[-–]\s*(.+?)$'
ARTICLE_PATTERN = r'^(\d+\.\d+)\s+([A-Z][A-Z\s]+)$'
# Submittal type keywords
SUBMITTAL_TYPES = {
'shop drawings': 'S...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Specification Extractor for Construction
## Overview
Extract structured data from construction specification documents. Parse CSI MasterFormat sections, identify requirements, submittals, product standards, and compile actionable data for estimating and procurement.
## Business Case
Automated spec extraction enables:
- **Faster Estimating**: Quickly identify scope and requirements
- **Procurement Accuracy**: Extract exact product specifications
- **Submittal Tracking**: Identify all required submittals
- **Compliance Checking**: Verify specs against standards
## Technical Implementation
```python
from dataclasses import dataclass, field
from typing import List, Dict, Any, Optional
import re
import pdfplumber
from pathlib import Path
@dataclass
class SpecSection:
number: str # e.g., "03 30 00"
title: str
part1_general: Dict[str, Any]
part2_products: Dict[str, Any]
part3_execution: Dict[str, Any]
raw_text: str
@dataclass
class ProductRequirement:
section: str
manufacturer: str
product_name: str
model: str
standards: List[str]
properties: Dict[str, str]
@dataclass
class SubmittalRequirement:
section: str
submittal_type: str # shop drawings, samples, product data, etc.
description: str
timing: str
copies: int
@dataclass
class SpecExtractionResult:
document_name: str
total_pages: int
sections: List[SpecSection]
products: List[ProductRequirement]
submittals: List[SubmittalRequirement]
standards_referenced: List[str]
class SpecificationExtractor:
"""Extract structured data from construction specifications."""
# CSI MasterFormat patterns
CSI_SECTION_PATTERN = r'^(\d{2}\s?\d{2}\s?\d{2})\s*[-–]\s*(.+?)$'
PART_PATTERN = r'^PART\s+(\d+)\s*[-–]\s*(.+?)$'
ARTICLE_PATTERN = r'^(\d+\.\d+)\s+([A-Z][A-Z\s]+)$'
# Submittal type keywords
SUBMITTAL_TYPES = {
'shop drawings': 'S...University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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