Claude Skills by datadrivenconstruction

Analyze budget vs actual cost variances. Identify overruns, forecast final costs, and generate variance reports.

Forecast project cash flow based on schedule and cost data. Generate S-curves and payment projections.

Process and manage construction change orders. Track costs, approvals, and impact on schedule and budget.

Track material deliveries, manage inventory, and coordinate logistics. Monitor delivery schedules and site storage.

Generate AIA-style payment applications. Track schedule of values, calculate retention, and produce payment documentation.

Track subcontractor payments, lien waivers, and compliance. Manage payment schedules and documentation.

Manage as-built documentation for project closeout. Track drawing markups, coordinate updates, and verify completeness.

Analyze construction contract clauses. Identify risks, obligations, and key terms using NLP.

Generate structured construction meeting minutes. Track action items, decisions, and attendees.

Complete RFI (Request for Information) management system. Create, track, route, and analyze RFIs with automatic notifications and response deadline tracking.

Track construction submittals through the review process. Manage approvals, revisions, and compliance.

Automatically generate daily construction reports from field data, worker inputs, weather, and progress photos. Creates professional PDF reports.

Digital punch list management for construction project closeout. Track deficiencies, assign corrections, photo documentation, and completion verification.

Digital safety inspection system for construction sites. Checklists, hazard tracking, incident reporting, and compliance documentation.

Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.

Track material procurement from requisition to delivery. Monitor lead times, vendors, and costs.

Track material orders, deliveries, and inventory on construction sites. Monitor lead times, delivery status, and stock levels.

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

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

Manage construction equipment fleet. Track utilization, maintenance, and assignments.

Allocate and track labor resources across project activities. Balance workload, track attendance, and optimize crew assignments.

Analyze labor productivity by trade, activity, and location. Track efficiency and identify improvement opportunities.

Link BIM elements to schedule activities for 4D simulation. Visualize construction sequence over time.

Link schedule activities to cost items. Create cost-loaded schedules, generate cash flow curves, and track earned value.

Analyze weather impact on construction schedule. Predict delays and adjust activities based on forecast.

Analyze project critical path from schedule data. Identify critical activities, calculate float, and assess schedule risk.

Analyze schedule delays, identify causes, and calculate time impacts using delay analysis methods.

Calculate embodied carbon in construction materials. Track CO2 emissions, compare alternatives, and generate sustainability reports.

Analyze data evolution patterns in construction organizations. Assess digital maturity and data strategy for construction companies

Extract, clean, and organize legacy construction data from archives. Migrate historical project data, cost records, and schedules into modern formats.

Detect and map data silos in construction organizations. Identify disconnected data sources and integration opportunities

Comprehensive audit of all construction data sources and systems. Map data flows, identify silos, assess quality, and create integration roadmap.

Analyze ERP system integration for construction data flows. Map and optimize data flows between ERP modules

Handle CSV files from construction software exports. Auto-detect delimiters, encodings, and clean messy data.

Profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for data quality assessment and ETL planning.

Classify construction data by type (structured, unstructured, semi-structured). Analyze data sources and recommend appropriate storage/processing methods

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

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

Read and parse XML from construction systems - P6 schedules, BSDD exports, IFC-XML, COBie-XML. Convert to pandas DataFrames.

Map construction data to standard ontologies. Create semantic mappings between different data schemas

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

Fetch construction material prices from open APIs. Track price trends, regional variations, and update cost databases.

Fetch weather data for construction scheduling. Historical data, forecasts, and risk assessment for outdoor work.

Merge pandas DataFrames from multiple construction sources. Handle different schemas, keys, and data quality issues.

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.

Comprehensive Pandas toolkit for construction data analysis. Filter, group, aggregate BIM elements, calculate quantities, merge datasets, and generate reports from structured construction data.

Build RAG systems for construction knowledge bases. Create searchable AI-powered construction document systems

Convert CAD/BIM files to structured data. Extract element data from Revit, IFC, DWG, DGN files

Analyze construction drawings to extract dimensions, annotations, symbols, and metadata. Support quantity takeoff and design review automation.

Extract data from construction images using AI Vision. Analyze site photos, scanned documents, drawings