keez97

End-to-end codebase health workflow: discover architecture, review it, fix issues with TDD, and document the result. Chains describe-design, architecture review skills, and tdd-ai into a single phased workflow with checkpoint documents. Use this skill whenever the user says "audit my codebase", "do a full architecture review and fix things", "improve my codebase architecture", "health check this p

AWS and infrastructure-as-code expert for Python/FastAPI full-stack apps. Use this when you need cloud architecture design, infrastructure review, Terraform/CDK implementation, cost optimization, or deployment strategy. Covers Lambda, ECS, RDS, VPC, IAM, networking, and production AWS patterns. Triggers on: AWS, Terraform, CDK, cloud architecture, infrastructure, Lambda, ECS, RDS, Aurora, deployme

Reverse-engineer existing codebases and produce architectural documentation with Mermaid diagrams (C4, sequence, ER, deployment). Use this skill whenever the user asks to document a codebase, explain how a system works, create architecture diagrams, build onboarding documentation, generate a system overview, map dependencies, or describe the design of an existing project. Also trigger when someone

Design distributed systems using microservices patterns. Triggers on: microservices, service mesh, distributed systems, event-driven architecture, saga pattern, service boundaries, monolith to microservices, API gateway, message queue, eventual consistency, circuit breaker, gRPC, service decomposition. Provides ADRs, service boundary diagrams, API contracts, data flow analysis, and failure mode as

Expert frontend architecture review and design for modern web apps. Review existing apps against rendering strategy, state management, Core Web Vitals, bundle efficiency, and project structure. Design new apps with concrete ADRs, performance budgets, and migration paths. Catch bundle bloat, state leaks, hydration mismatches, and performance gaps before they hit production. Stop shipping unnecessar

Expert-level architecture review and design guidance for Python backends, with deep knowledge of FastAPI, PostgreSQL, async patterns, and modern Python project structure. Use this skill whenever the user asks you to review Python code architecture, design a new Python backend, evaluate project structure, assess API design, review database schemas, audit security posture, or discuss scalability of

Design scalable systems with Clean Architecture, SOLID principles, and Architecture Decision Records. Use this for decomposing systems, choosing architectural patterns, documenting decisions, and avoiding over-engineering. Language-agnostic: applies to any tech stack.