ai-architect-expert
Expert-level AI system design, MLOps, architecture patterns, and AI infrastructure
npx skills add majiayu000/claude-skill-registry --skill ai-architect-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 Architect Expert Expert guidance for designing AI systems, MLOps architecture, scalable ML infrastructure, and AI platform engineering. ## Core Concepts ### AI System Architecture - Model serving architectures - Real-time vs batch inference - Feature stores - Model registries - Training pipelines - Data versioning ### MLOps Infrastructure - CI/CD for ML - Model monitoring and observability - A/B testing frameworks - Model retraining automation - Resource orchestration - Cost optimization ### Scalability Patterns - Distributed training - Model parallelism - Data parallelism - Inference optimization - Caching strategies - Load balancing ## ML Platform Architecture ```python from dataclasses import dataclass from typing import Dict, List, Optional from enum import Enum class ModelStage(Enum): DEVELOPMENT = "development" STAGING = "staging" PRODUCTION = "production" ARCHIVED = "archived" @dataclass class ModelMetadata: name: str version: str framework: str stage: ModelStage metrics: Dict[str, float] created_at: str updated_at: str class ModelRegistry: """Central model registry for ML platform""" def __init__(self): self.models: Dict[str, List[ModelMetadata]] = {} def register_mode
- Core Concepts
- AI System Architecture
- MLOps Infrastructure
- Scalability Patterns
- ML Platform Architecture
- Training Pipeline Architecture
- Model Serving Architecture
- Monitoring and Observability
- Best Practices
- Architecture Design
- MLOps
- Infrastructure
- Anti-Patterns
- Resources
What does the ai-architect-expert skill do?
Expert-level AI system design, MLOps, architecture patterns, and AI infrastructure
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ai-architect-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.