ClawHub Skills
27 skills across the OpenClaw ecosystem. Search, filter, and discover modular agent capabilities.
Qto Report
Generate Quantity Take-Off (QTO) reports from BIM/CAD data. Extract volumes, areas, counts by category. Group elements, apply calculation rules, and c...
Bim Qto
Extract quantities from BIM/CAD data for cost estimation. Group by type, level, zone. Generate QTO reports.
Labor Rate
Calculate construction labor rates with overhead, benefits, and productivity factors. Regional rate databases and crew composition.
Data Quality Check
Assess construction data quality using completeness, accuracy, consistency, timeliness, and validity metrics. Automated validation with regex patterns...
Data Lineage Tracker
Track data origin, transformations, and flow through construction systems. Essential for audit trails, compliance, and debugging data issues.
Data Anomaly Detector
Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods...
Standards Compliance Checker
Check data compliance with construction standards. Validate data against ISO 19650, IFC, COBie, UniFormat standards.
Data Model Designer
Design data models for construction projects. Create entity-relationship diagrams, define schemas, and generate database structures.
Specification Extractor
Extract structured data from construction specifications. Parse CSI sections, requirements, submittals, and product data from spec documents.
Drawing Analyzer
Analyze construction drawings to extract dimensions, annotations, symbols, and metadata. Support quantity takeoff and design review automation.
Pandas Construction Analysis
Comprehensive Pandas toolkit for construction data analysis. Filter, group, aggregate BIM elements, calculate quantities, merge datasets, and generate...
Llm Data Automation
Automate construction data processing using LLM (ChatGPT, Claude, LLaMA). Generate Python/Pandas scripts, extract data from documents, and create auto...
Df Merger
Merge pandas DataFrames from multiple construction sources. Handle different schemas, keys, and data quality issues.
Weather Api
Fetch weather data for construction scheduling. Historical data, forecasts, and risk assessment for outdoor work.
Price Api
Fetch construction material prices from open APIs. Track price trends, regional variations, and update cost databases.
Open Data Integrator
Integrate open construction datasets. Combine open data sources for enhanced analysis
Ontology Mapper
Map construction data to standard ontologies. Create semantic mappings between different data schemas
Xml Reader
Read and parse XML from construction systems - P6 schedules, BSDD exports, IFC-XML, COBie-XML. Convert to pandas DataFrames.
Json Parser
Parse and validate JSON data from construction APIs, IoT sensors, and BIM exports. Transform nested JSON to flat DataFrames.
Data Type Classifier
Classify construction data by type (structured, unstructured, semi-structured). Analyze data sources and recommend appropriate storage/processing meth...
Data Profiler
Profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for data quality assessment and ETL p...
Csv Handler
Handle CSV files from construction software exports. Auto-detect delimiters, encodings, and clean messy data.
Erp Integration Analysis
Analyze ERP system integration for construction data flows. Map and optimize data flows between ERP modules
Data Source Audit
Comprehensive audit of all construction data sources and systems. Map data flows, identify silos, assess quality, and create integration roadmap.
Data Silo Detection
Detect and map data silos in construction organizations. Identify disconnected data sources and integration opportunities
Historical Data Manager
Extract, clean, and organize legacy construction data from archives. Migrate historical project data, cost records, and schedules into modern formats.
Data Evolution Analysis
Analyze data evolution patterns in construction organizations. Assess digital maturity and data strategy for construction companies