Claude Configs

Analyze labor productivity from site data. Compare planned vs actual, identify trends, benchmark against industry standards.

Create interactive KPI dashboards for construction projects. Track schedule, cost, quality, and safety metrics in real-time.

Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.

Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.

Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system.

Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.

Analyze construction site photos to track progress, detect safety issues, and compare against BIM models using computer vision.

Batch convert multiple CAD/BIM files (Revit, IFC, DWG, DGN) with progress tracking, error handling, and consolidated reporting.

Build cost assemblies from CWICR work items. Combine multiple items into reusable templates for common construction elements.

Compare cost estimates across projects, versions, and scenarios. Identify variances, benchmark against standards, and generate comparison reports.

Calculate construction costs using DDC CWICR resource-based methodology. Break down costs into labor, materials, equipment with transparent pricing.

Optimize crew composition using CWICR labor norms. Balance productivity, cost, and skill requirements for construction crews.

Plan equipment requirements using CWICR norms. Calculate equipment hours, scheduling, utilization rates, and rental vs purchase analysis.

Apply price escalation to CWICR estimates over time. Calculate inflation adjustments, material price indices, and labor rate increases.

Apply geographic location factors to CWICR estimates. Adjust costs for regional labor rates, material prices, and market conditions.

Generate material procurement lists from CWICR data. Calculate quantities with waste factors, group by supplier categories, and create purchase orders.

Track actual vs planned productivity using CWICR norms. Calculate productivity rates, identify variances, and generate performance reports.

Match BIM quantities to CWICR work items. Map element categories to cost codes, validate quantities, and generate cost-linked QTOs.

Update CWICR resource rates with current market prices. Integrate external price data, apply inflation adjustments, and maintain rate history.

Calculate risk-adjusted cost estimates using CWICR data. Apply contingencies, Monte Carlo simulation, and probability distributions to cost estimates.

Integrate CWICR cost data with project schedules. Link work items to schedule activities, generate cost-loaded schedules, and cash flow projections.

Assist with quantity takeoff using CWICR data. Calculate quantities from dimensions, apply waste factors, and suggest related work items.

Convert between construction measurement units. Handle metric/imperial conversion, area/volume calculations, and unit normalization for CWICR data.

Calculate material waste factors and losses using CWICR norms. Apply waste percentages, cutting losses, and spillage factors to material quantities.

Break down CWICR work items into component resources. Decompose aggregate items, analyze resource composition, and generate detailed bills of resources.

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

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

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

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

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

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

Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.