Skill UI

Generates complete, production-ready Google Cloud Platform (GCP) code examples and infrastructure templates. It spans various modern AI patterns, including ADK agents, Genkit RAG flows, and multimodal analysis using Vertex AI and Gemini. The output includes runnable code, deployment configuration (Terraform/IaC), security best practices (IAM, VPC-SC), and monitoring setup, ensuring enterprise-grade reliability and cost optimization.

Sets up production-grade Genkit infrastructure via Terraform, covering Firebase Functions, Cloud Run, GKE, AI monitoring, and CI/CD wiring so deployments run securely at scale.

A comprehensive guide to building enterprise-grade AI applications using Firebase Genkit. This skill covers the full development lifecycle, including implementing advanced RAG systems, multi-step tool-calling agents, and complex workflows across Node.js, Python, and Go. It teaches best practices for schema validation (Zod/Pydantic), robust error handling, OpenTelemetry tracing, and deploying reliably to Firebase Functions or Cloud Run.

A comprehensive guide for building AI agents in Dart with Genkit, covering flows, tools, plugins, schemas, and the Genkit CLI for local development. Ideal for integrating LLMs into Dart or Flutter applications.