Skill UI

This skill enables deploying Expo applications to production using Expo Application Services (EAS). It covers building and submitting apps to iOS App Store, Google Play, and TestFlight. Users can configure build profiles, manage version numbers, and publish metadata. Additionally, it supports deploying web bundles and API routes via EAS Hosting, facilitating CI/CD automation for cross-platform mobile development workflows.

A portable CI gate designed to enforce Core Web Vitals (LCP, CLS, INP) budgets and category score floors on production frontend builds. It integrates into CI pipelines to automatically block pull requests if the performance metrics fall below defined Google standards, ensuring consistently fast and reliable user experiences.

Learn to build and deploy event-driven serverless applications using Google Cloud Functions Gen1 and Gen2. This skill covers configuring triggers for Pub/Sub, Cloud Storage, and Eventarc, as well as managing deployments via gcloud CLI. It includes examples for Python and Node.js runtimes, handling HTTP requests, scheduled tasks, and data processing pipelines without maintaining servers. Ideal for implementing serverless workloads on GCP.

This skill enables building production-ready serverless applications on Google Cloud Platform using Cloud Run. It covers containerized services, event-driven functions, cold start optimization, and Pub/Sub integration. Includes guidance on memory management, concurrency settings, and scaling bottlenecks to ensure efficient deployment and cost control.

Provision and manage fully managed relational databases on Google Cloud Platform, including PostgreSQL, MySQL, and SQL Server. Configure high availability, automated backups, security settings, and private IP connections. Suitable for production workloads requiring ACID transactions and regional failover. Includes Terraform configuration examples for infrastructure as code deployment.

This skill covers deploying and managing virtual machines on Google Cloud Platform using Compute Engine. It includes creating instance templates, configuring managed instance groups for auto-scaling, and utilizing preemptible or spot VMs for cost optimization. Users will learn to provision GPU instances, manage snapshots, and apply startup scripts via gcloud CLI commands for production workloads.

Deploy and manage Google Kubernetes Engine clusters with standard and autopilot modes, node pools, workload identity, and ingress. For teams running containerized workloads on GCP.

Learn to design and secure network infrastructure on Google Cloud Platform. This skill covers creating VPCs, configuring firewall rules, setting up Cloud NAT, and deploying load balancers. It also includes implementing Cloud Armor for security and Private Service Connect for private access. Essential for DevOps engineers managing GCP environments.

Store and manage secrets securely in Google Cloud Platform. Configure IAM policies, integrate with GKE, manage secret versions, set expiration, and enable Workload Identity. Suitable for DevOps and security teams managing sensitive data in cloud environments.

Build applications using Google Gemini API hosted models including Gemini and Gemma 4. Covers multimodal content handling (text, images, audio, video), function calling, structured outputs, and current model specifications. Includes SDK usage for Python, JavaScript/TypeScript, Go, and Java with installation instructions.

This comprehensive guide covers all aspects of integrating the Google Gemini API into your applications using Python or Node.js. It details basic text generation, advanced multimodal inputs (text, image, audio), streaming responses, function calling/tool use, multi-turn chat implementation, and production best practices like model selection and robust error handling.

This skill enables autonomous multi-step research using Google's Gemini Deep Research Agent. Users can initiate queries, monitor progress, and collect cited reports for market analysis, literature reviews, or competitive scans. It requires a Gemini API key and Python environment. Ideal for tasks needing structured, source-grounded reports beyond simple web searches.