TensorFlow machine learning skill specialized for physics applications including neural network potentials and surrogate models
NVIDIA TensorRT model optimization and deployment.
Automate Textrazor tasks via Rube MCP (Composio).
Time series forecasting skill for business metric prediction and demand planning
Tumor mutation burden and microsatellite instability calculation skill for immunotherapy biomarkers
Apply LDA, NMF, and other computational methods to discover patterns in large text corpora with appropriate parameter tuning
Structural topic modeling: STM spec, topic count, coherence-exclusivity.
TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) ranking skill for multi-criteria evaluation
Periodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs).
Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning), with SFT, DPO, GRPO, KTO, RLOO and…
Train or fine-tune TRL language models on Hugging Face Jobs, including SFT, DPO, GRPO, and GGUF export.
Hamiltonian simulation skill using Trotter-Suzuki decomposition
UCSC Genome Browser query skill for genome annotation retrieval and track data access
VASP DFT calculation skill for electronic structure, band structures, and materials property predictions
VASP DFT calculation skill for electronic structure, geometry optimization, and property prediction of nanomaterials
Vehicle routing problem solver for logistics optimization with time windows, capacity constraints, and multiple depots.
Train or fine-tune vision models on Hugging Face Jobs for detection, classification, and SAM or SAM2 segmentation.
VLM-based OCR pipeline: model selection, prompts, architecture, evaluation.
Run bounded, evidence-driven training research through W&B Launch: smoke-test real jobs, execute serial trials, compare metrics and…
Specialized skill for correlating CFD predictions with experimental wind tunnel data
Workflow 1.5: Bridge between idea discovery and auto review.