ai-ml

What problem does it solve?

This Skill provides a comprehensive workflow for developing AI and machine learning systems, from initial design and LLM integration to RAG implementation, agent development, and MLOps.

Core Features & Use Cases

• AI Application Design: Define use cases, choose models, and design system architecture.
• LLM Integration: Connect to LLM APIs, optimize prompts, and handle errors.
• RAG Implementation: Build retrieval-augmented generation systems with vector databases and embedding strategies.
• AI Agent Development: Design and implement autonomous agents using frameworks like CrewAI and LangGraph.
• ML Pipeline Development: Create and manage machine learning pipelines with MLOps best practices.
• AI Observability & Security: Implement tracing, evaluation, and security measures.

Quick Start

Use the ai-ml skill to design an AI application for customer support.