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Fine-tune LLMs using Red Hat training-hub library with SFT, LoRA, and OSFT algorithms. Use when preparing JSONL datasets, running training jobs, configuring hardware, scaling to clusters, evaluating models, or deploying with vLLM.
This skill should be used when the user mentions "burn", "tensor", "module", "backend", "training", "ONNX", "autodiff", "deep learning in Rust", or any Burn framework related query. Routes to appropriate domain skills and enforces evidence-seeking behavior.
Expert prompt engineering for Claude 4.x models (Sonnet 4.5, Opus 4.5, Haiku 4.5). Use when creating system prompts, optimizing existing prompts, designing agentic workflows, or improving prompt effectiveness. Triggers on requests like "optimize this prompt", "write a system prompt", "improve these instructions", "create an agent prompt", or any task involving prompt design for Claude.
Implements progression from Vector RAG → GraphRAG → Temporal Knowledge Graphs. Use when designing persistent memory architectures for AI agent systems.
AI agent practices test-first development with the Red-Green-Refactor cycle for confident, well-designed code. Use when implementing features, fixing bugs, or establishing testing practices.
Auxilia desenvolvimento do chat NathIA no projeto Nossa Maternidade. Conhece a arquitetura de agentes IA (MaternalChatAgent, EmotionAnalysisAgent), MCP servers (Supabase, GoogleAI, OpenAI, Anthropic), e prompts. Use ao trabalhar com chat, agentes IA, ou integracao Gemini.
Training data management including labeling strategies, data augmentation, handling imbalanced data, and data splitting best practices.
Implement agent memory - short-term, long-term, semantic storage, and retrieval
This skill should be used when the user asks about "Workers AI", "AI models", "text generation", "embeddings", "semantic search", "RAG", "Retrieval Augmented Generation", "AI inference", "LLaMA", "Llama", "bge embeddings", "@cf/ models", "AI Gateway", or discusses implementing AI features, choosing AI models, generating embeddings, or building RAG systems on Cloudflare Workers.
Design and implement the personality, conversational style, and emotional behavior of the Ethereal "Digital Spirit". Use this skill when updating system prompts, mood logic, or implementing new interactive behaviors. Ensures the spirit remains witty, concise, and mysteriously connected to the system's pulse.
Use when building AI-powered products or agents, when raw model intelligence isn't enough to solve user problems, or when designing the architecture for agentic workflows
Systematic vulnerability finding, threat modeling, and attack surface analysis for AI/LLM security assessments
Build production agentic applications on OCI using Oracle Agent Development Kit with multi-agent orchestration, function tools, and enterprise patterns
Conversation phases, topic drift, and convo-exit protocols
