ultrathink
Invoke deep sequential thinking for complex problem-solving. Use when the user says 'use ultrathink', 'ultrathink', or when tackling problems that require careful step-by-step reasoning, planning, hyp…
Browse curated skills with source links, package snapshots, README assets and install signals in one calm, searchable catalog.
Invoke deep sequential thinking for complex problem-solving. Use when the user says 'use ultrathink', 'ultrathink', or when tackling problems that require careful step-by-step reasoning, planning, hyp…
Use Databuddy LLM observability for Vercel AI SDK. Use when implementing LLM analytics, tracking AI model usage, monitoring token costs, or observing AI application performance.
Generate images and visualizations from Revit/IFC files without BIM software. Python-based noBIM tool for batch processing.
Analyze construction contract clauses. Identify risks, obligations, and key terms using NLP.
Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.
Build multi-agent AI systems for construction estimation. Use CrewAI/LangGraph to orchestrate specialized agents: QTO agent, pricing agent, validation agent. Automate complex estimation workflows.
Build n8n pipeline for automated cost estimation from Revit/IFC using DDC CWICR database and LLM classification.
Reusable prompt templates for construction AI tasks: cost estimation, schedule analysis, document processing, BIM queries. Structured prompts for consistent results.
Create Databricks AI/BI dashboards. CRITICAL: You MUST test ALL SQL queries via execute_sql BEFORE deploying. Follow guidelines strictly.
Analyze LLM experiment results. Handles single or comparative experiments, exploratory or Q&A modes. Use when user says "analyze experiment", "compare experiments", "analyze against baseline", or prov…
Analyze construction site photos to track progress, detect safety issues, and compare against BIM models using computer vision.
Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.
Forecast project outcomes using historical data: cost overruns, schedule delays, risk probabilities. Machine learning models for construction prediction.
Extract structured data from construction documents using LLMs. Process RFIs, submittals, contracts, specifications. Convert unstructured PDFs to structured JSON/Excel.
Automate construction photo report generation using n8n with AI-powered image analysis.
Analyze and predict construction change orders using ML. Classify change order types, predict costs and schedule impacts, identify patterns, and optimize approval workflows.
Create and manage Databricks Agent Bricks: Knowledge Assistants (KA) for document Q&A, Genie Spaces for SQL exploration, and Supervisor Agents (MAS) for multi-agent orchestration. Use when building co…
Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.
Semantic search in DDC CWICR construction database using vector embeddings. Find similar work items and resources for cost estimation.
Analyze weather impact on construction schedule. Predict delays and adjust activities based on forecast.
Predict project completion dates using ML models. Forecast schedule delays based on current progress, historical patterns, and risk factors.
Predict project duration using k-NN and regression. Estimate timeline based on similar historical projects.
Generate safety toolbox talks for construction crews. Create contextual safety briefings based on weather, work activities, and recent incidents. Support multiple languages.
Process drone survey data for construction sites. Generate orthomosaics, DEMs, point clouds, calculate volumes, track progress, and integrate with BIM models for comparison.