3. Data, Science & AI

Complete workflow for topology optimization in Abaqus using Tosca to minimize weight while maintaining structural stiffness.

Defines initial conditions and predefined fields in Abaqus for simulations, including initial temperature, pre-stress, and residual stress.

Assists in designing, building, and reviewing data warehouse models using dbt, with emphasis on fact tables and dimensions.

Manages Abaqus finite element analysis jobs, including submission, execution, and input file generation for engineering simulations.

Generates finite element meshes for Abaqus simulations, handling element types, mesh refinement, and node configurations.

Defines material properties for finite element analysis (FEA) models, including elastic, plastic, density, and Young's modulus for materials like steel and aluminum.

Configures field and history outputs in Abaqus simulations, optimizing result saving and reducing file size for engineering analysis.

Injects real-time sensor data into task context for enhanced awareness during complex operations, debugging, and user state-sensitive scenarios.

Executes Abaqus-based fatigue analysis workflow including cycle counting, damage accumulation, and fatigue life prediction.

Assists in writing, modifying, and optimizing SQL queries, designing database schemas, and managing database structures.

Post-processes Abaqus ODB files to extract engineering analysis results including stress, displacement, and reaction forces.

Defines boundary conditions in Abaqus simulations, including fixed supports, displacements, and symmetry constraints, triggered by terms like fixed or clamped.

Provides Abaqus FEA scripting assistance for finite element analysis, topology optimization, and simulation tasks using Python.

Autonomous trading agent for Hyperliquid with KV state tracking that triggers on trading messages to execute trades.

Autonomous AI agent for managing crypto trading on Hyperliquid perpetual futures, including automation, position monitoring, and market analysis.

Defines time-varying load amplitudes (ramp, cyclic, pulse) for Abaqus finite element analysis simulations, excluding static loads.

Automates collection of real-time portfolio positions, values, and prices from Robinhood using its command-line interface.

Manages multi-step AI workflows for DeepWork job definitions, implementations, and improvements.

Enables creation and editing of reactive data notebooks for building interactive data applications with Marimo's UI framework.

Concurrently dispatches multiple Claude agents to investigate and fix independent system failures without shared state or dependencies.

Applies forces, pressures, and gravity loads to structural models in Abaqus simulations, supporting point loads and distributed forces.

Provides complete workflow for dynamic analysis in Abaqus, handling impact, crash, drop tests, and transient responses with explicit/implicit methods.

Generates deterministic prompts for AI agents via Python scripts, ensuring consistent configuration before agent deployment.

Provides implementation patterns for GraphRAG workflows using Neo4j, including hybrid search, Text2Cypher, and agentic retrieval techniques.