Expert LLM architect specializing in large language model architecture, deployment, and optimization. Masters LLM system design, fine-tuning strategies, and production serving with focus on building scalable, efficient, and safe LLM applications.
3.1
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0
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AI & LLM
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The skill addresses a valuable domain (LLM architecture) where specialized knowledge could reduce token costs, but lacks actionable detail. The description is too generic ('llm architect related work') for a CLI agent to know when to invoke it. Key Capabilities list metrics without explaining how to achieve them or what specific tasks the skill performs (e.g., 'design a RAG pipeline', 'optimize inference serving', 'implement safety filters'). No concrete workflows, code examples, or step-by-step guidance is provided for fine-tuning strategies, deployment patterns, or optimization techniques. Structure is clean but the content is mostly boilerplate. To improve: add specific task examples, decision trees for architecture choices, concrete fine-tuning recipes, deployment checklists, or cost optimization strategies that an agent could follow.
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