cloud infrastructure向けのClaudeスキルを発見してください。28個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Implements production-ready integration patterns and architectural best practices for the Replit SDK in TypeScript and Python.
Bootstraps a minimal working Vast.ai integration to verify API connectivity and establish baseline implementation patterns.
Manages and optimizes AWS Relational Database Service (RDS) instances, encompassing provisioning, backups, security, and performance tuning.
Manages Amazon Simple Notification Service (SNS) to implement pub/sub messaging and automated notifications within AWS environments.
Manages AWS EventBridge resources to build robust event-driven architectures, including buses, rules, and schedules.
Manages the secure storage, retrieval, and automatic rotation of credentials, API keys, and sensitive data within AWS environments.
Configures and manages Amazon SQS queues for decoupled microservices and serverless architectures.
Manages AWS identities, roles, and permissions using secure best-practice patterns and automated CLI commands.
Manages AWS S3 object storage operations including bucket configuration, object lifecycle management, and security policies.
Deploys, configures, and secures AWS API Gateway resources for REST, HTTP, and WebSocket APIs.
Automates AWS resource provisioning and infrastructure management using infrastructure as code templates.
Streamlines the creation, configuration, and optimization of AWS Lambda serverless functions and event-driven architectures.
Manages Amazon EC2 virtual machines, networking, and storage through optimized CLI patterns and automation scripts.
Manages AWS ECS clusters, task definitions, and services for seamless container orchestration and deployment.
Integrates Amazon Bedrock foundation models to build generative AI applications with text, image, and embedding capabilities.
Configures and manages Amazon Cognito user pools, identity pools, and secure authentication flows.
Manages Amazon Elastic Kubernetes Service (EKS) clusters, node groups, and containerized workloads using AWS best practices.
Orchestrates complex AWS serverless workflows using Amazon States Language (ASL) to coordinate distributed application logic.
Automates the development and deployment of ultra-low latency serverless functions to Vercel's global edge network.
Implements standardized project layouts and architectural best practices for Vercel-based applications.
Automates the integration of secrets management tools like HashiCorp Vault and AWS Secrets Manager into infrastructure and code.
Configures and optimizes AWS ElastiCache clusters using production-ready patterns and automated architectural guidance.
Manages Vercel API rate limits, backoff strategies, and idempotency patterns to ensure reliable request throughput.
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.
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.
Deploys end-to-end Firebase applications integrated with Vertex AI Gemini for secure, scalable, AI-powered backend features.
Automates database backups and disaster recovery workflows using industry-standard tools and cloud storage integration.
Provisions enterprise-grade Vertex AI Agent Engine infrastructure using Terraform and secure VPC configurations.
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