prime-sieve-generator
Generate optimized prime sieves and factorization routines
Generate optimized prime sieves and factorization routines
Assist in constructing algorithm correctness proofs
Generates semantic layer definitions for BI tools from dimensional models
Validates dimensional models against Kimball methodology best practices
Optimizes feature engineering pipelines and feature store configurations
BentoML skill for model packaging, serving, and containerization.
Fairness assessment skill using Fairlearn for bias detection, mitigation, and compliance reporting.
Optuna integration skill for automated hyperparameter optimization with advanced search strategies, pruning, multi-objective optimization, and visualization capabilities.
PyTorch model training skill with custom training loops, gradient management, and GPU optimization.
Distributed computing skill using Ray for parallel training, hyperparameter search, and resource management.
Seldon Core deployment skill for model serving, A/B testing, and canary deployments on Kubernetes.
Scikit-learn model training skill with cross-validation, hyperparameter tuning, pipeline construction, and model serialization. Enables automated ML model development using scikit-learn's comprehensive toolkit.
TensorFlow/Keras model training skill with callbacks, distributed strategies, and TensorBoard integration.
Agent-based modeling skill for simulating complex adaptive systems with heterogeneous interacting agents
Bayesian network construction and inference skill for probabilistic reasoning, causal analysis, and belief updating
Probability calibration training skill for improving forecast accuracy and reducing overconfidence
Genetic algorithm skill for complex optimization problems with non-linear objectives or discontinuous search spaces
Monte Carlo simulation engine skill for probabilistic modeling, risk quantification, and uncertainty propagation
Pre-mortem analysis skill for prospective hindsight and failure mode identification
PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) skill for outranking-based multi-criteria analysis
Reference class forecasting skill to counter optimism bias using historical analogies
Probability distribution fitting skill for calibrating uncertainty models from historical data or expert judgment
System dynamics modeling skill for feedback loop analysis, stock-flow diagrams, and dynamic simulation
TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) ranking skill for multi-criteria evaluation