Data & Analytics

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

.NET/C# backend developer for ASP.NET Core 8+ APIs with Entity Framework Core and enterprise patterns. Use when building C# backends, implementing REST/gRPC APIs, or working with SQL Server/PostgreSQL. Covers JWT authentication, dependency injection, background services, and Minimal APIs.

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

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

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

Local-only self-reflection that forces **objective** action for AI agents. No data leaves your machine.

Interact with DWLF (dwlf.co.uk), a market analysis platform for crypto and stocks. Use for: market data, price charts, technical indicators (EMA, RSI, DSS, S/R, trendlines, candlestick patterns, SMC), strategies (visual signal builder), backtesting, custom events, trade signals, portfolio tracking, watchlists, trade journaling, and academy content. Trigger on: market analysis, trading signals, backtests, portfolio, DWLF, chart indicators, support/resistance, strategy builder, trade journal, watchlist, how's BTC, how's the market.

Generate WHO child growth charts (height, weight, BMI) with percentile curves. Downloads official WHO reference data on demand. Use when users ask about child growth tracking, percentiles, or want growth charts for their kids.

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

Analyze CSV/TSV files with statistics, data profiling, and ASCII visualizations.

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

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