aws-lambda-functions
Create and deploy serverless functions using AWS Lambda with event sources, permissions, layers, and environment configuration. Use for event-driven computing without managing servers.
azure-functions
Create serverless functions on Azure with triggers, bindings, authentication, and monitoring. Use for event-driven computing without managing infrastructure.
architecture-pattern-selector
Recommend architecture patterns (monolith, microservices, serverless, modular monolith) based on scale, team size, and constraints. Use when cto-architect needs to select the right architectural approach for a new system or migration.
discover-cloud
Automatically discover cloud computing and serverless skills when working with cloud. Activates for cloud development tasks.
vercel-kv
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cloudflare-hyperdrive
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cloudflare-vectorize
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cloudflare-worker-base
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cloudflare-workers-ai
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supabase
Core Supabase CLI, migrations, RLS, Edge Functions
eventbridge
AWS EventBridge serverless event bus for event-driven architectures. Use when creating rules, configuring event patterns, setting up scheduled events, integrating with SaaS, or building cross-account event routing.
sns
AWS SNS notification service for pub/sub messaging. Use when creating topics, managing subscriptions, configuring message filtering, sending notifications, or setting up mobile push.
lambda
AWS Lambda serverless functions for event-driven compute. Use when creating functions, configuring triggers, debugging invocations, optimizing cold starts, setting up event source mappings, or managing layers.
cloudflare-workers
Build stateful serverless applications using Cloudflare Workers and Durable Objects. Use when creating real-time collaborative apps, chat systems, multiplayer games, WebSocket servers, rate limiters, or any application requiring coordination between clients, persistent state, or scheduled tasks with Cloudflare's edge computing platform.
modal
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
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