Use when designing, reviewing, revising, or templating deployable system prompts for agent projects, especially prompts needing clear roles, task boundaries, tool-use rules, evidence handling, output formats, safety behavior, or compact runtime-ready structure.
Use this skill when user needs to design deep learning models, perform training optimization, interpret papers, or solve engineering practice issues. Trigger keywords: deep learning, neural networks, model training, overfitting, gradient vanishing, PyTorch, TensorFlow, pretrained models, fine-tuning, model deployment…
Use this skill when user needs to design LLM evaluation strategies, build test datasets, or ensure model quality. Trigger keywords: LLM testing, model evaluation, prompt engineering, regression testing, red teaming, hallucination detection, RAG testing, Agent testing, A/B testing, LLM-as-a-Judge. Applicable to quality…
Three.js interaction - raycasting, controls, mouse/touch input, object selection. Use when handling user input, implementing click detection, adding camera controls, or creating interactive 3D experiences.