Genkit Production Expert

About

Empowers developers to architect, implement, and deploy sophisticated AI applications using Firebase Genkit. It provides expert guidance on creating robust multi-step flows, implementing retrieval-augmented generation (RAG) with vector search, and integrating tool calling with precise schema validation. Whether targeting Node.js, Python, or Go, the skill ensures production readiness through best practices in error handling, cost optimization, and full-stack observability with AI monitoring on Firebase and Google Cloud Run.

Key Features

• Sets up comprehensive AI monitoring and OpenTelemetry tracing
• Configures production-ready deployment for Firebase Functions and Cloud Run
• Architects multi-step AI workflows with Zod, Pydantic, and Go struct validation
• 712 GitHub stars
• Optimizes performance through context caching and token usage analysis
• Implements RAG systems with vector search and embedding model integration

Use Cases

• Developing multi-agent AI workflows with custom tool and function calling
• Migrating Genkit prototypes to production environments with monitoring and scaling
• Building a document-based Q&A system using RAG and vector databases