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Backend design

Skill jgamaraalv/delivery-loop/.claude/skills/backend-design

Continuous fullstack delivery loops — orchestrates frontend, backend, and quality subagents (behaviour drivers, engineers, UI/UX specialist, code/security reviewers, architects) in a test → diagnose → fix → review → secure → re-test cycle until the work is production-ready

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npx -y skills add jgamaraalv/delivery-loop --skill backend-design

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Design backend systems — REST/GraphQL/gRPC APIs, microservices, database schemas, auth, caching, message queues, scalability. Use when designing backend services, APIs, data models, distributed systems, or auth flows.

SKILL.md

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Backend Design

Workflow

Follow this systematic design process:

  1. Requirements Analysis

    • Gather functional requirements (features, operations)
    • Define non-functional requirements (performance, scalability, availability)
    • Identify constraints (budget, timeline, technology, compliance)

  2. Architecture Selection

    • Choose architecture pattern (monolith, microservices, serverless)
    • Select technology stack based on requirements
    • Define service boundaries and responsibilities

  3. API Design

    • Design RESTful endpoints with proper resource modeling
    • Define request/response schemas and contracts
    • Plan versioning strategy and documentation
    • See api-design-guide.md for REST/GraphQL/gRPC patterns

  4. Database Design

    • Model entities and relationships
    • Design schema with normalization
    • Plan indexing and partitioning strategies
    • See database-design.md for relational and NoSQL patterns

  5. Security Design

    • Design authentication flow (OAuth 2.0, JWT)
    • Plan authorization model (RBAC, ABAC)
    • Define data encryption and protection strategy

  6. Scalability & Performance

    • Design caching strategy (Redis, CDN)
    • Plan load balancing and auto-scaling
    • Define asynchronous processing with message queues

  7. Documentation

    • Create API specifications (OpenAPI/Swagger)
    • Document architecture decisions with Mermaid diagrams
    • Provide implementation guidelines and roadmap

Output Structure

Present your backend design with these sections:

  1. System Overview - High-level architecture, components, technology stack
  2. API Specification - Endpoints, schemas, authentication, OpenAPI docs
  3. Database Design - ERD, schema, indexes, migration plan
  4. Architecture Decisions - Service decomposition, communication patterns, consistency model
  5. Security Implementation - Authentication/authorization flows, encryption
  6. Scalability Plan - Load balancing, caching, database scaling, auto-scaling
  7. Deployment Architecture - Containers, infrastructure, CI/CD, monitoring
  8. Implementation Roadmap - Phases, milestones, dependencies, risks

Core Principles

  • API-first approach - Design and document APIs before implementation
  • Security by design - Build authentication, authorization, and encryption from the start
  • Design for scalability - Plan for growth with caching, load balancing, and horizontal scaling
  • Plan for failure - Include error handling, retries, circuit breakers, and graceful degradation
  • Document thoroughly - Create clear API specs, Mermaid architecture diagrams, and implementation guides

Reference Files

Load additional resources based on specific needs:

  • Detailed Design Process: See backend-design-process.md for comprehensive step-by-step workflow with examples for API design, database modeling, authentication flows, and microservices patterns

  • API Design Guide: See api-design-guide.md when designing RESTful APIs, GraphQL schemas, or gRPC services - includes resource modeling, status codes, versioning strategies, and documentation

  • Database Design: See database-design.md for detailed guidance on relational and NoSQL database design, normalization, indexing, partitioning, and replication strategies

  • Best Practices: See best-practices.md for API design, database optimization, security hardening, performance tuning, and reliability patterns

  • Common Patterns: See common-patterns.md for code examples of repository pattern, service layer, dependency injection, and other architectural patterns

  • Example Projects: See examples.md for complete architecture examples including e-commerce systems, real-time chat applications, and microservices implementations

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