Tailor: Skill for Claude Code

Backend Engineering Skill

Activate this skill when creating or updating API endpoints, database models, background jobs, caching layers, or backend services.

Operational Directive: Design resilient, validated, concurrent-safe, and performant backend services with strict data integrity.

---

1. API Contract Design & HTTP Standards

Check .ai/API.md for project-specific conventions (REST, GraphQL, tRPC). Adhere to standard HTTP semantics:

Status Code Standards

• 200 OK: Successful retrieval or synchronous update.
• 201 Created: Resource successfully created (include Location header or created object).
• 204 No Content: Successful mutation with no response body (e.g. deletion).
• 400 Bad Request: Malformed syntax, invalid JSON, or failed input schema validation.
• 401 Unauthorized: Missing or invalid authentication token.
• 403 Forbidden: Authenticated user lacks permission to access this resource.
• 404 Not Found: Resource does not exist.
• 409 Conflict: Unique constraint violation, race conflict, or state transition conflict.
• 422 Unprocessable Entity: Semantically invalid payload (business rule failure).
• 429 Too Many Requests: Rate limit threshold exceeded.
• 500 Internal Server Error: Unhandled server error (never leak internal stack traces to client).

Standard Error Response Envelope

{
  "error": {
    "code": "INVALID_PAYLOAD",
    "message": "The provided email address is already in use.",
    "details": [
      { "field": "email", "issue": "Unique constraint violation" }
    ],
    "requestId": "req_01h7x..."
  }
}

---

2. Input Validation & Schema Guardrails

• Always parse and validate incoming request payloads at the boundary using schema validators (Zod, Pydantic, Joi, Validator.js) before calling business logic.
• Strip unvalidated fields to prevent Mass Assignment vulnerabilities.

---

3. Database Integrity, Queries & Transactions

• Transactional Boundaries: Always wrap multi-table write operations inside atomic database transactions (tx.run(), db.transaction()).
• Prevent N+1 Query Anti-Patterns: Use ORM joins (include, select_related, prefetch_related) or DataLoader rather than executing queries inside loops.
• Pagination Standards:
  • For small, static sets: Offset-based pagination (limit, offset).
  • For high-volume, real-time data: Keyset / Cursor-based pagination (cursor, take).
• Connection Pooling: Reuse connection pools; never instantiate new database connection clients per HTTP request.