moai-baas-cloudflare-ext
Enterprise Cloudflare Edge Platform with AI-powered edge computing architecture, Context7 integration, and intelligent global orchestration for scalable modern applications
Enterprise Cloudflare Edge Platform with AI-powered edge computing architecture, Context7 integration, and intelligent global orchestration for scalable modern applications
Automatically optimizes Cloudflare KV storage patterns, suggesting parallel operations, caching strategies, and storage choice guidance
Provides comprehensive Microsoft Azure guidance including Azure Virtual Machines, Azure Storage (Blob, Files, Disks), Azure SQL Database, Azure App Service, Azure Functions, AKS (Azure Kubernetes Service), Azure DevOps, ARM templates, Bicep, Terraform for Azure, Azure Active Directory, Azure Key Vault, Azure Monitor, cost optimization, and multi-region deployment. Produces infrastructure as code (Terraform/Bicep/ARM), deployment scripts, security configurations, and architecture designs. Use when deploying to Azure, designing Azure infrastructure, migrating to Microsoft Azure, configuring VMs, setting up Azure Storage, managing Azure SQL, working with AKS, or when users mention Azure, Microsoft Cloud, Azure Portal, ARM templates, Bicep, Azure Functions, App Service, or Azure DevOps.
Query AWS infrastructure using steampipe SQL. Use on 'what resources', 'find instances', 'list buckets', 'show IAM', 'audit AWS', 'security groups', or any AWS resource discovery task.
⚠️ Alpha (開発中) - エンタープライズ Azure 環境構築スキル。AVM 活用、VM アプリ初期化、App Service/AKS/Container Apps へのアプリデプロイ、サービス間設定連携、CI/CD 生成をサポート。Hub-Spoke, AKS, AI Foundry 等の複合アーキテクチャに対応。Bicep MCP と Microsoft Learn Docs MCP で最新スキーマを取得。
Cloud cost optimization and FinOps practices. Use when analyzing cloud costs, implementing savings strategies, or optimizing resource usage.
Audits Nixtla library usage and recommends cost-effective routing strategies. Scans TimeGPT, StatsForecast, and MLForecast patterns, identifies cost optimization opportunities, generates comprehensive usage reports, and suggests smart routing between models. Activates when user needs cost optimization, API usage audit, routing strategy design, or Nixtla cost reduction.
Use this skill whenever the user wants to design, run, or refine Cloudflare D1 schema management, migrations, and data seeding for dev/staging/production environments, especially in conjunction with Hono/Workers apps.
Architecture decision guides for Kailash SDK including framework selection (Core SDK vs DataFlow vs Nexus vs Kaizen), runtime selection (Async vs Sync), database selection (PostgreSQL vs SQLite), node selection, and test tier selection. Use when asking about 'which framework', 'choose framework', 'which runtime', 'which database', 'which node', 'architecture decision', 'when to use', 'Core SDK vs DataFlow', 'PostgreSQL vs SQLite', 'AsyncLocalRuntime vs LocalRuntime', or 'test tier selection'.
Securing AI/ML infrastructure including model storage, API endpoints, and compute resources
Design and deploy AI workloads across AWS, Azure, GCP, and OCI with intelligent routing, cost optimization, and cross-cloud patterns
Comprehensive development guides for advanced Kailash SDK features including custom node development, MCP development, async patterns, testing strategies, production deployment, RAG systems, security patterns, monitoring, and SDK internals. Use when asking about 'development guide', 'advanced features', 'custom node development', 'async node development', 'MCP development', 'production deployment', 'testing strategies', 'RAG implementation', 'security patterns', 'monitoring setup', 'circuit breaker', 'compliance', 'edge computing', or 'SDK internals'.
Cloud Run AI Engine deployment workflow with free tier optimization. Triggers when user requests Cloud Run deployment, AI engine deploy, or production release. Use for deploying AI Engine to Google Cloud Run.
Build AI applications on AWS using Bedrock, SageMaker, and AI/ML services with best practices for enterprise deployment
Expert in Vercel AI SDK v5 handling streaming, model integration, tool calling, hooks, state management, edge runtime, prompt engineering, and production patterns. Use PROACTIVELY for any AI SDK implementation, streaming issues, provider integration, or AI application architecture. Detects project setup and adapts approach.
Design and deploy AI workloads across AWS, Azure, GCP, and OCI with intelligent routing, cost optimization, and cross-cloud patterns
Neural network training and deployment in Flow Nexus cloud. Use for distributed ML training, model inference, and neural network lifecycle management.
Build AI applications on AWS using Bedrock, SageMaker, and AI/ML services with best practices for enterprise deployment
Microsoft Azure architecture patterns and best practices. Use when designing, deploying, or reviewing Azure infrastructure including AKS, App Service, Functions, CosmosDB, and Entra ID.
Alibaba Cloud architecture patterns and best practices. Use when designing, deploying, or reviewing infrastructure on Alibaba Cloud including ECS, ACK, Function Compute, and OSS.
Develop custom Terraform and OpenTofu providers using the Plugin Framework. Use when creating new providers, implementing CRUD operations, writing acceptance tests, debugging provider issues, or migrating from SDKv2 to Plugin Framework. Covers TDD workflow, resource/data source patterns, and terraform-plugin-testing.
Infrastructure as Code with CloudFormation templates and stacks