ai-engineer-expert
Expert-level AI implementation, deployment, LLM integration, and production AI systems
npx skills add majiayu000/claude-skill-registry --skill ai-engineer-expert --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AI Engineer Expert Expert guidance for implementing AI systems, LLM integration, prompt engineering, and deploying production AI applications. ## Core Concepts ### AI Engineering - LLM integration and orchestration - Prompt engineering and optimization - RAG (Retrieval-Augmented Generation) - Vector databases and embeddings - Fine-tuning and adaptation - AI agent systems ### Production AI - Model deployment strategies - API design for AI services - Rate limiting and cost control - Error handling and fallbacks - Monitoring and logging - Security and safety ### LLM Patterns - Chain-of-thought prompting - Few-shot learning - System/user message design - Function calling and tools - Streaming responses - Context window management ## LLM Integration ```python from openai import AsyncOpenAI from anthropic import Anthropic from typing import List, Dict, Optional import asyncio class LLMClient: """Unified LLM client with fallback""" def __init__(self, primary: str = "openai", fallback: str = "anthropic"): self.openai_client = AsyncOpenAI() self.anthropic_client = Anthropic() self.primary = primary self.fallback = fallback async def chat_completion(self, messages: List[Dict], model: str =
- Core Concepts
- AI Engineering
- Production AI
- LLM Patterns
- LLM Integration
- RAG Implementation
- Prompt Engineering
- AI Agent System
- Production Deployment
- Best Practices
- Production Systems
- Security
- Anti-Patterns
- Resources
What does the ai-engineer-expert skill do?
Expert-level AI implementation, deployment, LLM integration, and production AI systems
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ai-engineer-expert --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.