Select optimal LLM(s) for a task based on skill requirements, budget, and constraints. Uses the `which-llm` CLI to query Artificial Analysis benchmarks enriched with capability data from models.dev.

Use this skill when users need to stress test their business model, identify scale limitations, find bottlenecks, determine if they're trading time for money, or evaluate unit economics. Activates...

Build binary and multiclass classification models using logistic regression, decision trees, and ensemble methods for categorical prediction and classification

Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language...

Design and implement agent-based models (ABM) for simulating complex systems with emergent behavior from individual agent interactions. Use when "agent-based, multi-agent, emergent behavior, swarm...

Design data models with Pydantic schemas, comprehensive validation rules,

Build revenue projection models with driver-based forecasting, scenario analysis, and pricing optimization

Select an existing feature as current without modifying registry data.

Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflow

Build and train machine learning models using scikit-learn, PyTorch, and TensorFlow for classification, regression, and clustering tasks

Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object...

Use when reducing model size, improving inference speed, or deploying to edge devices - covers quantization, pruning, knowledge distillation, ONNX export, and TensorRT optimizationUse when ", " mentioned.

Use when building VaR models, stress testing portfolios, Monte Carlo simulations, or implementing enterprise risk management - covers market risk, credit risk, and operational risk frameworksUse...

Optional advanced tool for complex data modeling. For simple table creation, use relational-database-tool directly with SQL statements.

Compare AWS, GCP, and Azure to select the best cloud provider based on workload requirements, cost, compliance, and migration complexity.

Use when symfony runner selection

当用户需要学习某种风格、提取写作配方、建立风格库或模仿特定作者时调用。深度解构文本的15个维度，包括作者画像、思维内核、创作路径、互动设计等，建模为可精准复制的风格文件。触发词：风格建模、提取风格、学习风格、模仿写作、解构文章、写作配方、风格库。

Explain ML model predictions using SHAP values, feature importance, and decision paths with visualizations.

Interpret machine learning models using SHAP, LIME, feature importance, partial dependence, and attention visualization for explainability

This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions