Ai Architect Expert

This one's for building production ML systems, not just training models. You get architectural patterns for the full stack: model registries, feature stores, distributed training pipelines, and serving infrastructure with caching and metrics. The code examples are actually production-oriented, showing things like FastAPI serving endpoints with Prometheus monitoring, distributed data parallel training setup, and model promotion workflows across dev/staging/prod. Use it when you're designing MLOps platforms or need to architect scalable inference systems. It's focused on the infrastructure side rather than model development, so you're looking at orchestration, observability, and the boring-but-critical stuff that keeps ML systems running at scale.

skills.sh installs: 182
GitHub stars: 44
last updated: Aug 21, 2026

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Install

$ npx -y skills add personamanagmentlayer/pcl --skill ai-architect-expert --agent claude-code

Installs into .claude/skills of the current project.

Files

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

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"""

SKILL.md on GitHub