3. Data, Science & AI

Creates optimized meta-prompts for Claude-to-Claude pipelines enabling research, planning, and execution stages to produce consumable outputs.

Enables spreadsheet creation, formula application, data analysis, and visualization for structured data handling.

Enables AI agents to store and recall context, decisions, and learnings across conversations for persistent knowledge building.

Generates AI content (images, videos, audio, avatars) and analyzes videos with detailed timelines using YAML pipelines and 51 AI models, including Gemini 3 Pro.

Executes arbitrary SQL queries on data using DuckDB, an in-process analytics database engine for efficient data processing and analysis.

Transcribes YouTube video audio to text and performs content analysis using natural language processing techniques.

Dispatches multiple independent Claude agents to concurrently investigate and resolve unrelated system failures without shared dependencies.

Creates JSON representations of database schema components for Entity Relationship Diagrams in Doclific documentation.

Filters stocks using complex user-defined conditions and outputs a candidate list for investment analysis.

Analyzes public opinion and market sentiment by processing social media and news data using AI-driven sentiment analysis.

Analyzes financial market data using technical indicators to interpret price trends and support trading decisions.

Extracts boundary condition data from HEC-DSS files (V6/V7) including time series, handling JVM configuration and HEC Monolith integration for hydrological workflows.

Validates eBFE/BLE model structure by verifying file existence, relative paths, and data accessibility to ensure runnability.

Extracts and processes hydraulic simulation results from HEC-RAS HDF files, including water surface elevations, velocities, and flow data for analysis.

Integrates USGS gauge data for hydrological modeling, including data retrieval, HEC-RAS feature matching, boundary generation, and validation with NSE/KGE metrics.

Automates parallel execution of HEC-RAS hydraulic simulations with real-time progress monitoring and output folder management.

Processes AORC precipitation data for hydrological modeling, including spatial averaging, temporal aggregation, and Atlas 14 design storm generation for HEC-RAS/HMS.

Automates geometry repair and validation for hydraulic models using RasFixit and RasCheck, handling obstructions and generating visualizations for FEMA compliance.

Extracts structured diagnostics from HEC-RAS HDF compute outputs, including execution status, performance metrics, and error codes for workflow integration.

Parses and modifies HEC-RAS geometry files (.g##) in fixed-width FORTRAN format, handling cross sections, bridges, culverts, and Manning's n tables for hydraulic analysis.

Analyzes spatial variability of NOAA Atlas 14 precipitation data within HEC-RAS model domains using statistical methods and efficient data retrieval.

Provides decision support for HEC-RAS model execution by analyzing project inspector output to recommend optimal plans, execution modes, and parameters with dependency management.

Uploads and processes single objects, batch data, and multi-modal content into local Weaviate vector databases for AI-driven semantic search and analysis.

Manages Weaviate collections and schemas for local vector database operations, enabling efficient data organization in AI applications.