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

Scanning Tunneling Microscopy skill for atomic-resolution imaging and local density of states measurements

Active targeting skill for designing and validating nanoparticle targeting strategies

Time-of-Flight Secondary Ion Mass Spectrometry skill for molecular surface analysis and imaging

UV-Vis-NIR spectroscopy skill for optical property characterization including plasmon resonance and bandgap analysis

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

CAMB cosmological perturbation skill for CMB power spectra, matter power spectra, and cosmological parameter estimation

CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis

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

LaTeX scientific documentation skill specialized for physics papers with equation rendering and journal formatting

nbodykit large-scale structure analysis skill for N-body simulations and galaxy surveys

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

Quantum random number generation skill for cryptographic applications

Qubit mapping and routing skill for hardware topology optimization

Bayesian probabilistic reasoning for prior specification, posterior computation, and belief updating

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

Create character-specific dialogue with distinct voices, subtext, and naturalistic speech patterns

Format screenplays to industry standard using Fountain markup for professional presentation

Plan camera angles, movements, shot sizes, and visual design for cinematic storytelling

Analyze and classify music genres, subgenres, and micro-genres with deep knowledge of characteristics, history, and relationships for accurate style specification

Optimize and format prompts specifically for AI music generation platforms like Suno and Udio, including platform-specific syntax and tag optimization

Provide detailed production specifications including instrumentation, arrangement, mix characteristics, effects, and era-specific production aesthetics

Create ultra-detailed musical style specifications including genres, BPM, instrumentation, vocal direction, production aesthetics, and reference tracks for AI music generation

Create detailed vocal specifications including style, register, techniques, emotional delivery, and influence references for AI music generation

Cultivate and steward donor relationships including prospect research, personalized engagement strategies, gift acknowledgment, and impact reporting

Coordinate all aspects of live performance production including scheduling, technical requirements, artist contracts, venue logistics, and show documentation

Create detailed storyboards for interactive digital learning content specifying narration, visuals, interactions, and navigation

Conduct life history and testimonial interviews with appropriate prompting, active listening, and trauma-informed approaches

Construct, analyze, and evaluate philosophical thought experiments to test intuitions, reveal conceptual commitments, and probe theoretical implications

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

Develop, validate, and adapt measurement instruments including factor analysis, reliability testing, and cross-cultural validation

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

Specialized skill for Zephyr RTOS development and configuration

Specialized skill for clock domain crossing analysis and synchronizer design in FPGA designs

Specialized skill for finite state machine design and optimization in FPGAs

Specialized skill for creating and debugging SystemVerilog assertions for FPGA verification

A/B testing skill for player segmentation.

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.