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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
```markdown
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
```