Backend designer
This skill should be used when the user asks to "design an API", "plan database schema", "set up authentication", "design backend architecture", or discusses backend patterns and infrastructure. Provides pragmatic backend design guidance following "solid indie" principles.From its SKILL.md
npx -y skills add Data-Wise/craft --skill backend-designerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
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Backend Designer Skill
Auto-activated when: User discusses backend architecture, API design, database decisions, or authentication patterns.
Core Capabilities
1. API Design Patterns
- RESTful API structure (resources, endpoints, versioning)
- GraphQL schema design
- API authentication (JWT, OAuth, API keys)
- Rate limiting and throttling strategies
- Error handling and status codes
2. Database Design
- Schema design (normalized vs denormalized)
- Index strategies for performance
- Migration planning
- ORM vs raw SQL trade-offs
- Connection pooling
3. Authentication & Authorization
- Session management (JWT vs session cookies)
- OAuth flows (authorization code, client credentials)
- Permission models (RBAC, ABAC)
- Secure token storage
- Password hashing (bcrypt, argon2)
4. Performance Patterns
- Caching strategies (Redis, in-memory, CDN)
- Query optimization
- Background jobs (Celery, Bull, Temporal)
- Horizontal scaling considerations
- Database read replicas
Design Philosophy: Solid Indie
Ship Fast Principles:
- Start with monolith, extract services only when needed
- Use proven patterns, avoid trendy frameworks
- Prefer boring technology that works
- Document trade-offs, not just decisions
Anti-Patterns to Avoid:
- ❌ Microservices for < 5 person teams
- ❌ Over-abstraction (generic repositories, factories)
- ❌ Premature optimization
- ❌ Complex caching before measuring
Delegation Strategy
When analysis is needed, I will:
- Analyze current state - Review existing code/architecture
- Delegate to agents when feasible:
backend-architectagent for deep architectural analysisdatabase-architectagent for schema optimizationsecurity-specialistagent for auth review
- Run in background - Use Task tool with
run_in_background: true - Synthesize results - Combine agent outputs into actionable recommendations
Example Activation
User: "I need to design an API for user authentication with social login"
Skill activates and provides:
1. Quick assessment of requirements
2. Recommends OAuth 2.0 flow (authorization code + PKCE)
3. Suggests passport.js or similar proven library
4. Outlines token storage strategy
5. Delegates security review to security-specialist agent (background)
6. Returns with comprehensive auth implementation plan
Output Format
When activated, I provide:
Immediate Response
- Pattern Recognition: Identify the design problem category
- Quick Recommendation: Suggest proven pattern
- Trade-offs: List pros/cons of approach
Delegated Analysis (Background)
- Launch appropriate agent for deep analysis
- Provide progress updates
- Synthesize agent findings into actionable plan
Final Output
- Recommended approach with rationale
- Implementation steps (numbered, concrete)
- Code examples (if requested)
- Next steps (what to build first)
Integration with Existing Workflow
- Complements
/brainstormcommand (auto-activates during brainstorm sessions) - Works with
/next(suggests backend implementation steps) - Integrates with
/done(captures backend design decisions)
Remember: This skill auto-activates based on keywords. No explicit invocation needed. Keep responses focused, actionable, and indie-friendly (no corporate over-engineering).