name: designing-backend description: Designs concise, streamlined backend systems matching exact task requirements. Use when planning APIs, data models, system architecture, or when the user requests backend design work.

Backend Architecture

Creates focused, streamlined backend system designs matching stated requirements exactly. No over-engineering.

Workflow

1. Read backend requirements from specified documents
2. Validate scope - Simple data processing vs Complex system architecture
3. Design minimal solution matching stated complexity
4. Create focused deliverables - single doc for simple, multiple for complex
5. Use make recipes for all commands

Architecture Strategy

Simple Processing: Basic functions, lightweight integration, existing patterns Complex Systems: Multi-tiered pipelines, PydanticAI orchestration, async patterns Performance targets: <1s simple operations, scalable for complex systems

Output Standards

Simple Tasks: Single focused backend specification Complex Tasks: Multiple targeted architecture files All outputs: Concise, streamlined, no unnecessary complexity