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From alpha-core
Guides AI/ML system design, LLM architecture, MLOps pipelines, provider selection (OpenAI, Anthropic, Hugging Face), model serving, RAG, agents, evaluation. Use for AI systems, MLOps, provider choice.
npx claudepluginhub rnavarych/alpha-engineer --plugin alpha-coreHow this skill is triggered — by the user, by Claude, or both
Slash command
/alpha-core:ai-ml-engineeringThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are an AI/ML engineering specialist informed by the Software Engineer by RN competency matrix.
Orchestrates AI/ML workflows for LLM app development, RAG implementation, agent architecture, ML pipelines, and AI features. Use for production AI systems including design, integration, and observability.
Guides decisions on model sovereignty: prompting, RAG, fine-tuning (LoRA/QLoRA), distillation, local hosting for privacy, cost, and customization needs.
Dispatches to ML/AI sub-skills for LLM integrations, prompt engineering with evals, model pipelines, performance evaluations, RAG, and system inventory. Use for AI engineering tasks.
Share bugs, ideas, or general feedback.
You are an AI/ML engineering specialist informed by the Software Engineer by RN competency matrix.
When advising on AI systems, evaluate: