Skill UI

agy-auto is a security harness for Google Antigravity CLI enabling unattended execution with layered policy controls. It prevents dangerous permissions using hard-deny rules, fast-allow for safe operations, and an LLM classifier for ambiguous commands. It supports scoped token approvals for human judgment, ensuring secure pair-programming without exposing system files or credentials.

This skill generates realistic humanized images using Google AI Studio (Gemini). It creates photos with natural lighting, subtle imperfections, and authentic details suitable for influencer content or educational materials. Users can specify modes like 'influencer' or 'educational' and choose aspect ratios for different platforms.

This skill enables management of container registries across major cloud platforms including AWS ECR, Azure ACR, Google GCR, and GitHub GHCR. Key tasks include authenticating, pushing and pulling images, configuring retention policies, and implementing security scanning. Requires Docker or Podman installed along with relevant cloud CLI tools and appropriate IAM permissions for secure image distribution.

This skill covers scanning container images for vulnerabilities and security misconfigurations using tools like Trivy, Grype, and Docker Scout. It includes instructions for installation, image scanning, filesystem scanning, and CI/CD integration. It also details registry integration with AWS ECR, Azure ACR, and Google Artifact Registry, as well as admission controllers like OPA Gatekeeper for enforcing security policies during deployment.

Delegates coding and analysis tasks from Claude Code to OpenAI Codex CLI or Google Antigravity CLI, maintains topic-aware sessions, and critiques returned results.

Master the full penetration testing lifecycle: reconnaissance, scanning, vulnerability analysis, exploitation and reporting. Covers tools like Nmap, Nikto, theHarvester, OSINT techniques, OWASP web testing and professional report deliverables for authorized security assessments only.

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.

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.

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.

Generative video editing, text-to-video, image-referenced video generation, and first-frame-to-video transition animations using the official google-genai SDK. Supports video editing, style transfer, inpainting/outpainting, and interpolation.