ai-llm-engineering

What problem does it solve?

This Skill provides a comprehensive operational hub for building, evaluating, and deploying Large Language Model (LLM) systems to modern production standards, while integrating advanced techniques and delegating domain depth to specialized skills.

Core Features & Use Cases

• LLM System Architecture: Guides decision-making for RAG, agentic workflows, and fine-tuning.
• Production Readiness: Offers checklists, patterns, and templates for evaluation, deployment, and LLMOps.
• Advanced Techniques: Integrates PEFT/LoRA, vLLM throughput, automated drift detection, and multi-layered security.
• Use Case: A team is building a new AI-powered customer support chatbot. They can use this skill to select the right architecture (e.g., RAG with hybrid retrieval), choose appropriate evaluation metrics, and follow production deployment checklists to ensure reliability and scalability.

Quick Start

Use the ai-llm-engineering skill to get a checklist for deploying an LLM application to production.