Outreach.io sales engagement platform for sequence management

Specialized skill for hypersonic vehicle aerodynamic and thermal analysis

Hardware-in-the-loop test development and automation expertise

GA4GH standards compliance skill for data sharing and interoperability

Medical device software verification and validation test case generation skill

Translate between temporal logic formalisms and generate property specifications

Automated test equipment control and data acquisition skill for hardware validation, with VISA/SCPI instrument communication, test sequence scripting, and measurement uncertainty analysis.

Specialized skill for biological and physical-chemical wastewater treatment process optimization with activated sludge modeling, nutrient removal, aeration efficiency, and energy minimization.

Demand forecasting skill with statistical and machine learning methods.

Statistical distribution fitting skill for input modeling in simulation and analysis.

Failure Mode and Effects Analysis facilitation skill for risk identification and prioritization.

Overall Equipment Effectiveness calculation skill with loss categorization and improvement analysis.

Standard work documentation skill for work instruction creation and maintenance.

Automated search for counterexamples to mathematical conjectures

Skill for first article inspection planning and execution per AS9102

Focused Ion Beam milling skill for site-specific nanofabrication and cross-section preparation

GROMACS molecular dynamics skill for nanoparticle-biomolecule interaction simulations

Quantum ESPRESSO calculation skill for DFT simulations with pseudopotential management

Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy skill for morphology and elemental analysis

X-ray Photoelectron Spectroscopy analysis skill for surface composition, chemical state, and depth profiling

GROMACS molecular dynamics skill specialized for biomolecular systems, protein simulations, and free energy calculations

TensorFlow machine learning skill specialized for physics applications including neural network potentials and surrogate models

Skill for checking and ensuring Jupyter notebook reproducibility

Skill for compiling and managing LaTeX documents

Skill for formatting statistical results according to reporting standards

Skill for selecting appropriate statistical tests for analyses

Map and analyze social network structures using centrality measures, community detection, and visualization tools like Gephi or UCINET

Conduct systematic qualitative data analysis using grounded theory, thematic analysis, and content analysis with NVivo or Atlas.ti

Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python

Test equipment integration for signal analysis (oscilloscope and logic analyzer)

Embedded unit testing with Unity framework and CMock

Physically-based rendering skill for BRDF models and material workflows.

Expert integration with NVIDIA GPU-accelerated math libraries. Configure cuBLAS tensor core operations, generate cuBLAS GEMM calls, integrate cuDNN layers, handle algorithm selection, and support mixed-precision operations.

Expert skill for GPU debugging using CUDA-GDB and NVIDIA Compute Sanitizer. Detect memory errors, race conditions, uninitialized memory access, validate atomic operations, analyze kernel synchronization issues, and generate debugging reports with recommendations.

Expert skill for CUDA Graph capture and optimization for reduced launch overhead. Capture CUDA operations into graphs, instantiate and execute graph instances, update graph node parameters, profile graph vs stream execution, design graph-friendly kernel patterns, and optimize launch latency for inference.

Deep integration with NVIDIA CUDA toolkit for kernel development, compilation, and debugging. Execute nvcc compilation with optimization flags analysis, generate and validate CUDA kernel code, analyze PTX/SASS assembly output, and configure execution parameters.

High-performance kernel template libraries and DSLs. Generate CUTLASS GEMM configurations, implement Triton kernel definitions, configure epilogue operations, tune tile sizes and warp arrangements, and benchmark against cuBLAS.

Expert skill for automated GPU performance benchmarking and regression detection. Design micro-benchmarks, measure kernel execution time with CUDA events, calculate achieved vs theoretical performance, generate comparison reports, detect regressions in CI/CD, and profile power/thermal characteristics.

Expert skill for NVIDIA Nsight Systems and Nsight Compute profiling tools. Configure profiling sessions, analyze kernel reports, interpret occupancy metrics, roofline model data, memory bandwidth bottlenecks, and warp execution efficiency.

NVIDIA hardware video encoding/decoding integration. Configure NVENC encoding parameters, set up NVDEC decoding pipelines, handle codec configurations, integrate with CUDA for pre/post processing, and manage video memory surfaces.

GPU parallel algorithm design patterns and implementations. Implement parallel reduction, scan/prefix sum, histogram, parallel sort algorithms, stream compaction, and work-efficient patterns optimized for specific GPU architectures.

Expert skill for optimized stencil and convolution pattern implementations on GPU. Design tiled stencil algorithms with halos, implement 2D/3D convolution kernels, optimize boundary condition handling, apply temporal blocking techniques, generate separable filter implementations, and profile stencil memory bandwidth.

Expert skill for CUDA Unified Memory and memory prefetching optimization. Configure managed memory allocations, implement memory prefetch strategies, handle page fault analysis, configure memory hints and advise, profile unified memory migration, optimize for oversubscription scenarios, and compare managed vs explicit memory.

Vulkan compute shader development and pipeline configuration. Generate GLSL/HLSL compute shaders, compile to SPIR-V, configure compute pipelines, manage descriptor sets and resource bindings, implement memory barriers and synchronization.

Warp-level programming and SIMD optimization. Use warp shuffle instructions, voting functions, cooperative groups, warp-synchronous algorithms, and minimize warp divergence for optimal GPU performance.

Generate AGENT.md files with proper YAML frontmatter, role definitions, expertise areas, and prompt templates following Babysitter SDK conventions.

Analyze processes, identify workflows, define boundaries and scope, and map process requirements for specialization creation.

Generate process JS files following Babysitter SDK patterns including task definitions, quality gates, breakpoints, and proper io configuration.

Generate SKILL.md files with proper YAML frontmatter, capabilities documentation, and usage examples following Babysitter SDK conventions.

Research specialization domains, compile references, analyze best practices, and gather comprehensive knowledge for new specialization creation.