Build revenue projection models with driver-based forecasting, scenario analysis, and pricing optimization
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
Automatic model selection based on task type. Routes planning to Opus, coding to Sonnet, simple tasks to Haiku. Optimizes cost and quality automatically.
Build predictive models using linear regression, polynomial regression, and regularized regression for continuous prediction, trend forecasting, and relationship quantification
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...
Interactive game to learn Claude Agent Skills (SKILL.md) - explore, learn, and quiz yourself!
Use this skill when building AI features, integrating LLMs, implementing RAG, working with embeddings, deploying ML models, or doing data science. Activates on mentions of OpenAI, Anthropic,...
Use when implementing RL algorithms, training agents with rewards, or aligning LLMs with human feedback - covers policy gradients, PPO, Q-learning, RLHF, and GRPOUse when ", " mentioned.
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...
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.
Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML...
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML...
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML...
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。