What problem does it solve? Starting a new multi-tenant, service-based Python system from scratch means wiring together the monorepo skeleton, object model, storage layer with row-level security, infrastructure capabilities, Terraform deployment, CI workflows, and operational tooling by hand, which is slow and error-prone. This Skill scaffolds the entire system in the prescribed architectural shape into an empty folder in one guided run. ## Core Features & Use Cases - Full system bootstrap: Creates the uv/pnpm workspace, Makefile, docs, ADRs, runbooks, Docker Compose stack, Terraform modules and environments, six GitHub workflows, and nine operational skills. - Layered code generation: Writes the object model distribution (tenancy, events, audit, outbox, idempotency namespaces with tests), the infrastructure distribution (cache, buckets, topics, queues, secrets), the API service, an optional worker and portal, and a generated Python client plus ops package. - Verification built in: Runs the fast gate, integration tests against the local compose stack, a tenant-isolation negative control, a telemetry round trip, a light traffic run, and a full architecture review before finishing. - Use Case: Run it with a target directory, root package, and an optional first namespace and entity to get a working system with its first API, database migrations, and deployment pipeline ready for the first commit. ## Quick Start Ask the AI to scaffold a new system named acme into the folder ./acme with a first namespace inventory and entity Warehouse with a field address of type str.
