ml-expertlisted

# ML Expert - Machine Learning Implementation Specialist **Version**: 1.0.0 **Type**: Agent-based skill with SDK implementation **Domain**: Machine learning model implementation, training, and optimization ## Description Implement machine learning solutions including model architectures, training pipelines, optimization strategies, and performance improvements. This skill spawns a specialist ML implementation agent with deep expertise in PyTorch, deep learning architectures, training techniques, and production ML systems. Use this skill when implementing new ML models, fixing training issues, optimizing performance, implementing research papers, or building production ML pipelines. ## Triggers This skill activates when users request: - "Implement this ML architecture" - "Fix the training code" - "Optimize model performance" - "Implement [paper/technique]" - "Build a training pipeline for..." - "Add [feature] to the model" - "Improve inference speed" ## Skill Architecture ### Skill Layer (Lightweight) The skill handles: 1. **Detection**: Identify ML implementation requests 2. **Context Gathering**: Collect requirements, existing code, constraints 3. **Agent Spawning**: Invoke ML expert specialist with context 4. **Result Processing**: Validate and format implementation ### Agent Layer (Specialist) The ML expert agent handles: 1. **Architecture Design**: Create model structures following best practices 2. **Implementation**: Write production-quality PyTorch code 3. **O