# Send Specification Extractor to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "specification-extractor", "name": "Specification Extractor", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/datadrivenconstruction/specification-extractor", "canonicalUrl": "https://clawhub.ai/datadrivenconstruction/specification-extractor", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/specification-extractor", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=specification-extractor", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "claw.json", "instructions.md", "SKILL.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "specification-extractor", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-09T07:35:49.407Z", "expiresAt": "2026-05-16T07:35:49.407Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=specification-extractor", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=specification-extractor", "contentDisposition": "attachment; filename=\"specification-extractor-2.1.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "specification-extractor" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/specification-extractor" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/specification-extractor", "downloadUrl": "https://openagent3.xyz/downloads/specification-extractor", "agentUrl": "https://openagent3.xyz/skills/specification-extractor/agent", "manifestUrl": "https://openagent3.xyz/skills/specification-extractor/agent.json", "briefUrl": "https://openagent3.xyz/skills/specification-extractor/agent.md" } } ``` ## Documentation ### 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 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': 'Shop Drawings', 'product data': 'Product Data', 'samples': 'Samples', 'certificates': 'Certificates', 'test reports': 'Test Reports', 'manufacturer instructions': 'Manufacturer Instructions', 'warranty': 'Warranty', 'maintenance data': 'Maintenance Data', 'mock-ups': 'Mock-ups', } # Common standard organizations STANDARD_PATTERNS = [ r'ASTM\\s+[A-Z]\\d+', r'ANSI\\s+[A-Z]?\\d+', r'ACI\\s+\\d+', r'AISC\\s+\\d+', r'AWS\\s+[A-Z]\\d+', r'ASCE\\s+\\d+', r'UL\\s+\\d+', r'FM\\s+\\d+', r'NFPA\\s+\\d+', r'IBC\\s+\\d+', ] def __init__(self): self.sections: Dict[str, SpecSection] = {} def extract_from_pdf(self, pdf_path: str) -> SpecExtractionResult: """Extract specification data from PDF.""" path = Path(pdf_path) all_text = "" page_count = 0 with pdfplumber.open(pdf_path) as pdf: page_count = len(pdf.pages) for page in pdf.pages: text = page.extract_text() or "" all_text += text + "\\n\\n" # Parse sections sections = self._parse_sections(all_text) # Extract products products = self._extract_products(sections) # Extract submittals submittals = self._extract_submittals(sections) # Extract standards standards = self._extract_standards(all_text) return SpecExtractionResult( document_name=path.name, total_pages=page_count, sections=sections, products=products, submittals=submittals, standards_referenced=standards ) def _parse_sections(self, text: str) -> List[SpecSection]: """Parse CSI sections from specification text.""" sections = [] lines = text.split('\\n') current_section = None current_part = None current_content = [] for line in lines: line = line.strip() if not line: continue # Check for section header section_match = re.match(self.CSI_SECTION_PATTERN, line, re.IGNORECASE) if section_match: # Save previous section if current_section: sections.append(self._finalize_section(current_section, current_content)) current_section = { 'number': section_match.group(1).replace(' ', ''), 'title': section_match.group(2).strip(), 'parts': {} } current_content = [] current_part = None continue # Check for part header part_match = re.match(self.PART_PATTERN, line, re.IGNORECASE) if part_match and current_section: part_num = part_match.group(1) part_name = part_match.group(2).strip() current_part = f"part{part_num}" current_section['parts'][current_part] = { 'name': part_name, 'content': [] } continue # Add content to current part if current_section and current_part: current_section['parts'][current_part]['content'].append(line) elif current_section: current_content.append(line) # Save last section if current_section: sections.append(self._finalize_section(current_section, current_content)) return sections def _finalize_section(self, section_data: Dict, general_content: List[str]) -> SpecSection: """Finalize a section with parsed parts.""" parts = section_data.get('parts', {}) part1 = self._parse_part_content(parts.get('part1', {}).get('content', [])) part2 = self._parse_part_content(parts.get('part2', {}).get('content', [])) part3 = self._parse_part_content(parts.get('part3', {}).get('content', [])) return SpecSection( number=section_data['number'], title=section_data['title'], part1_general=part1, part2_products=part2, part3_execution=part3, raw_text='\\n'.join(general_content) ) def _parse_part_content(self, content: List[str]) -> Dict[str, Any]: """Parse part content into structured data.""" result = { 'articles': {}, 'items': [] } current_article = None for line in content: # Check for article header article_match = re.match(self.ARTICLE_PATTERN, line) if article_match: current_article = article_match.group(1) result['articles'][current_article] = { 'title': article_match.group(2), 'items': [] } continue # Add to current article or general items if current_article and current_article in result['articles']: result['articles'][current_article]['items'].append(line) else: result['items'].append(line) return result def _extract_products(self, sections: List[SpecSection]) -> List[ProductRequirement]: """Extract product requirements from Part 2.""" products = [] for section in sections: part2 = section.part2_products for article_num, article in part2.get('articles', {}).items(): if 'MANUFACTURERS' in article['title'].upper(): for item in article['items']: # Extract manufacturer names if item.strip().startswith(('A.', 'B.', 'C.', '1.', '2.', '3.')): mfr_name = re.sub(r'^[A-Z\\d]+\\.\\s*', '', item).strip() products.append(ProductRequirement( section=section.number, manufacturer=mfr_name, product_name='', model='', standards=[], properties={} )) elif 'MATERIALS' in article['title'].upper() or 'PRODUCTS' in article['title'].upper(): for item in article['items']: # Extract material requirements standards = self._extract_standards(item) if standards: products.append(ProductRequirement( section=section.number, manufacturer='', product_name=item[:100], model='', standards=standards, properties={} )) return products def _extract_submittals(self, sections: List[SpecSection]) -> List[SubmittalRequirement]: """Extract submittal requirements from Part 1.""" submittals = [] for section in sections: part1 = section.part1_general for article_num, article in part1.get('articles', {}).items(): if 'SUBMITTAL' in article['title'].upper(): for item in article['items']: item_lower = item.lower() for keyword, submittal_type in self.SUBMITTAL_TYPES.items(): if keyword in item_lower: submittals.append(SubmittalRequirement( section=section.number, submittal_type=submittal_type, description=item.strip(), timing='Prior to fabrication', copies=3 )) break return submittals def _extract_standards(self, text: str) -> List[str]: """Extract referenced standards from text.""" standards = [] for pattern in self.STANDARD_PATTERNS: matches = re.findall(pattern, text, re.IGNORECASE) standards.extend(matches) return list(set(standards)) def generate_submittal_log(self, result: SpecExtractionResult) -> str: """Generate submittal log from extraction results.""" lines = ["# Submittal Log", ""] lines.append(f"**Project Specs:** {result.document_name}") lines.append(f"**Total Submittals:** {len(result.submittals)}") lines.append("") lines.append("| # | Section | Type | Description | Status |") lines.append("|---|---------|------|-------------|--------|") for i, sub in enumerate(result.submittals, 1): desc = sub.description[:50] + "..." if len(sub.description) > 50 else sub.description lines.append(f"| {i} | {sub.section} | {sub.submittal_type} | {desc} | Pending |") return "\\n".join(lines) def generate_product_schedule(self, result: SpecExtractionResult) -> str: """Generate product schedule from extraction results.""" lines = ["# Product Schedule", ""] # Group by section by_section = {} for prod in result.products: if prod.section not in by_section: by_section[prod.section] = [] by_section[prod.section].append(prod) for section, products in sorted(by_section.items()): lines.append(f"## Section {section}") lines.append("") for prod in products: if prod.manufacturer: lines.append(f"- **Manufacturer:** {prod.manufacturer}") if prod.product_name: lines.append(f"- **Product:** {prod.product_name}") if prod.standards: lines.append(f"- **Standards:** {', '.join(prod.standards)}") lines.append("") return "\\n".join(lines) def generate_report(self, result: SpecExtractionResult) -> str: """Generate comprehensive extraction report.""" lines = ["# Specification Extraction Report", ""] lines.append(f"**Document:** {result.document_name}") lines.append(f"**Pages:** {result.total_pages}") lines.append(f"**Sections Found:** {len(result.sections)}") lines.append("") # Sections summary lines.append("## Sections Extracted") for section in result.sections: lines.append(f"- **{section.number}** - {section.title}") lines.append("") # Standards if result.standards_referenced: lines.append("## Standards Referenced") for std in sorted(set(result.standards_referenced)): lines.append(f"- {std}") lines.append("") # Submittals summary lines.append("## Submittals Required") lines.append(f"Total: {len(result.submittals)}") by_type = {} for sub in result.submittals: by_type[sub.submittal_type] = by_type.get(sub.submittal_type, 0) + 1 for t, count in sorted(by_type.items()): lines.append(f"- {t}: {count}") lines.append("") # Products summary lines.append("## Products/Manufacturers") lines.append(f"Total: {len(result.products)}") return "\\n".join(lines) ### Quick Start # Initialize extractor extractor = SpecificationExtractor() # Extract from PDF result = extractor.extract_from_pdf("Project_Specifications.pdf") print(f"Found {len(result.sections)} sections") print(f"Found {len(result.submittals)} submittals") print(f"Found {len(result.products)} product requirements") # Generate submittal log submittal_log = extractor.generate_submittal_log(result) print(submittal_log) # Generate product schedule product_schedule = extractor.generate_product_schedule(result) print(product_schedule) # Full report report = extractor.generate_report(result) print(report) ### Dependencies pip install pdfplumber ## Trust - Source: tencent - Verification: Indexed source record - Publisher: datadrivenconstruction - Version: 2.1.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-09T07:35:49.407Z - Expires at: 2026-05-16T07:35:49.407Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/specification-extractor) - [Send to Agent page](https://openagent3.xyz/skills/specification-extractor/agent) - [JSON manifest](https://openagent3.xyz/skills/specification-extractor/agent.json) - [Markdown brief](https://openagent3.xyz/skills/specification-extractor/agent.md) - [Download page](https://openagent3.xyz/downloads/specification-extractor)