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

Expert skill for AI model quantization and optimization. Covers 4-bit/8-bit quantization, GGUF conversion, memory optimization, and quality-performance tradeoffs for deploying LLMs in...

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world...

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world...

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world...

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world...

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world...

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world...

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world...

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world...

Auto-activates during requirements analysis to evaluate technical stack

Use this skill when users need to evaluate potential co-founders, assess founder compatibility, design equity splits, or navigate co-founder relationships. Activates for "should I work with this...

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...

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

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

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

A comprehensive guide for developing, training, and managing neural networks using Flax NNX. Use when defining models, managing state, or writing training loops.