发现 Skills

Analyze data interoperability issues in construction projects. Identify format incompatibilities and data loss points.

Parse and validate JSON data from construction APIs, IoT sensors, and BIM exports. Transform nested JSON to flat DataFrames.

Build KPI dashboards for construction projects. Track CPI, SPI, quality, safety metrics in real-time.

Automate construction data processing using LLM (ChatGPT, Claude, LLaMA). Generate Python/Pandas scripts, extract data from documents, and create automated pipelines without deep programming knowledge.

Generate rolling look-ahead schedules for construction. Create 2-week, 3-week, or 6-week look-aheads with constraint analysis and crew coordination.

Build n8n pipeline for automated cost estimation from Revit/IFC using DDC CWICR database and LLM classification.

Generate images and visualizations from Revit/IFC files without BIM software. Python-based noBIM tool for batch processing.

Integrate open construction datasets. Combine open data sources for enhanced analysis

PowerPoint generation for construction: project updates, stakeholder presentations, progress reports, bid presentations. Automated slide creation with charts and data.

Forecast project outcomes using historical data: cost overruns, schedule delays, risk probabilities. Machine learning models for construction prediction.

Optimize prefabrication and modular construction workflows. Plan module sequencing, factory scheduling, transportation logistics, and on-site assembly for maximum efficiency.

Analyze field progress photos. Catalog, tag, and compare against planned progress.

Manage project closeout activities. Track completion of documentation, warranties, and final inspections.

Optimize construction resource allocation across activities. Level resources, resolve over-allocations, and balance workload while minimizing schedule impact.

Convert RVT/RFA files to Excel databases. Extract BIM element data, properties, and quantities.

Automated safety compliance verification for construction sites. Check PPE usage, zone access, working at heights regulations, and generate compliance reports using rule-based and ML approaches.

JSON/data schema validation for construction data exchange: API payloads, file imports, BIM exports. Ensure data structure compliance before processing.

Optimize construction site logistics including material delivery scheduling, crane positioning, storage area allocation, and traffic flow using operations research and simulation.

Build SQL queries for construction databases. Generate optimized SQL queries for construction data retrieval

Check data compliance with construction standards. Validate data against ISO 19650, IFC, COBie, UniFormat standards.

Prequalify subcontractors based on safety, financial, and performance criteria.

Assess company readiness for construction industry uberization. Analyze data transparency, process automation, and competitive positioning against open data platforms.

Implement semantic vector search for construction data. Build AI-powered search using embeddings and vector databases (Qdrant, ChromaDB) for intelligent querying of specifications, standards, and project documents.

Excel/spreadsheet processing for construction: estimates, schedules, tracking logs, quantity takeoffs. Formulas, formatting, analysis.