Discover Agent Skills for cloud infrastructure. Browse 28 skills for Claude, ChatGPT & Codex.
Deploys, configures, and secures AWS API Gateway resources for REST, HTTP, and WebSocket APIs.
Integrates Amazon Bedrock foundation models to build generative AI applications with text, image, and embedding capabilities.
Streamlines the creation, configuration, and optimization of AWS Lambda serverless functions and event-driven architectures.
Manages Amazon Simple Notification Service (SNS) to implement pub/sub messaging and automated notifications within AWS environments.
Manages AWS S3 object storage operations including bucket configuration, object lifecycle management, and security policies.
Manages AWS ECS clusters, task definitions, and services for seamless container orchestration and deployment.
Manages AWS EventBridge resources to build robust event-driven architectures, including buses, rules, and schedules.
Implements standardized project layouts and architectural best practices for Vercel-based applications.
Automates the development and deployment of ultra-low latency serverless functions to Vercel's global edge network.
Automates the integration of secrets management tools like HashiCorp Vault and AWS Secrets Manager into infrastructure and code.
Implements production-ready Vercel SDK integrations with idiomatic TypeScript and Python patterns.
Optimizes Vercel cloud expenditures through strategic tier selection, usage monitoring, and resource-saving techniques.
Manages Vercel API rate limits, backoff strategies, and idempotency patterns to ensure reliable request throughput.
Configures and optimizes AWS ElastiCache clusters using production-ready patterns and automated architectural guidance.
Automates the creation and configuration of production-grade Google Cloud Functions using industry-standard patterns.
Automates the development and deployment of production-grade AI agents using the Google Cloud Agent Development Kit (ADK) and Agent Starter Pack.
Automates the deployment of enterprise-grade Vertex AI infrastructure and Google Cloud machine learning services using Terraform.
Analyzes and reduces cloud infrastructure expenditures across AWS, Azure, and GCP by identifying underutilized resources and rightsizing opportunities.
Analyzes cloud infrastructure usage to identify cost-saving opportunities and generate actionable FinOps reports for AWS, Azure, and GCP.
Provisions enterprise-grade Vertex AI Agent Engine infrastructure using Terraform and secure VPC configurations.
Automates database backups and disaster recovery workflows using industry-standard tools and cloud storage integration.
Deploys end-to-end Firebase applications integrated with Vertex AI Gemini for secure, scalable, AI-powered backend features.
Provisions production-grade Google Cloud and Firebase infrastructure for Genkit AI applications using Terraform.
Deploys and orchestrates multi-agent systems on Google Cloud's Vertex AI Agent Engine using the Agent Development Kit (ADK).
Analyzes and optimizes cloud expenditures by identifying cost-saving opportunities across AWS, Azure, and GCP environments.
Provisions production-grade Vertex AI Agent Engine infrastructure and secure code execution sandboxes using Terraform.
Provisions and manages enterprise-grade Vertex AI infrastructure and Gemini model deployments using Terraform.
Builds and deploys production-ready generative AI agents using Vertex AI, Gemini models, and Google Cloud infrastructure.
Deploys production-ready Genkit AI applications using Terraform across Google Cloud Platform services.
Analyzes cloud environments to identify cost-saving opportunities, optimize resource utilization, and generate detailed financial reports.
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