What problem does it solve? Building production Azure services in Python requires repeatedly wiring up alerts, rate limiting, retries, Service Bus consumers, health checks, and observability plumbing; this Skill provides the reference for the azure-bootstrap library's opt-in subpackages and v3 runtime modules so those cross-cutting concerns are implemented correctly. ## Core Features & Use Cases - Operational subpackages: Covers alerts, fastapi_middleware, health, auth (Graph webhook, API key, HMAC), ratelimit (TokenBucket, MultiUnitLimiter), retry, ingress attachment classification, notify, heartbeat, config_refresh, subscription, servicebus (handle_message, ReplayGuard, DLQ digest), sb_lock, openai usage tracking, tokens, scheduler, metrics, and pdf_safety. - v3 runtime modules: Documents db/get_db/Outbox/drain_outbox, AcsEmailSender, hardened HTTP client with SSRF guard, documentdb, AKS helpers (SIGTERM, build_info, leader election), governance budget_guard, and the azbootstrap scaffold CLI for Terraform/Helm/GitOps templates. - End-to-end recipes: Provides tested patterns for Azure Functions, FastAPI pipelines, and AKS Service Bus workers with correlation scopes, lock renewal, and graceful shutdown. - Use Case: When building a FastAPI webhook receiver on Azure, use this Skill to wire install_graph_webhook_route with a webhook_bucket rate limiter, WebhookDedup, and readiness probes in one pass. ## Quick Start Ask the AI to build a FastAPI app using azure_bootstrap with middleware, a Graph webhook route, health probes, and an API-key-protected admin endpoint.