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UpdatedJanuary 3, 2026 at 21:38

Design robust backend systems and APIs. Use when users ask to plan or implement services, data models, or integrations.

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nicholasgriffintn

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name	backend-design
description	Design robust backend systems and APIs. Use when users ask to plan or implement services, data models, or integrations.
allowed-tools	["Read","Grep","Glob","Bash"]

Backend Design Skill

This skill guides the design of reliable backend systems, APIs, and data models with clear trade-offs, strong correctness guarantees, and operational readiness.

Design Thinking

Scope: Identify core use cases, data flows, and integration points.
Constraints: Latency, throughput, availability, compliance, and deployment limits.
Data: Define entities, relationships, invariants, and lifecycle.
Reliability: Error handling, retries, idempotency, and consistency model.

Architecture Guidelines

API Design: Explicit contracts, versioning, validation, and error shape.
Storage: Choose stores based on access patterns and durability needs.
Performance: Indexing, caching, batching, and async processing.
Security: AuthN/AuthZ, least privilege, secrets handling, auditability.
Observability: Logging, metrics, tracing, and alerting signals.
Scalability: Stateless services where possible, clear scaling boundaries.

Output Requirements

Provide a clear backend plan or implementation that includes:

Data model and key invariants
API endpoints or service interfaces
Failure modes and recovery strategy
Performance and scaling considerations
Security and observability notes

Response Checklist

Backend Design Checklist

- [ ] Confirm requirements and constraints
- [ ] Define data model and invariants
- [ ] Specify API contracts and error shape
- [ ] Address failure modes and consistency
- [ ] Cover performance, scaling, and caching
- [ ] Include security and observability plans