Backend Developer

API Design That Developers Actually Love β€” RESTful Done Right

30min complete API spec vs 1-2 weeksDevOps & Cloud3 min read

Key Takeaway

The API Design skill generates complete RESTful API specifications β€” OpenAPI 3.1 schemas, endpoint design, authentication flows, pagination strategies, error handling, rate limiting, and versioning. Your agent designs APIs that follow industry best practices so your consumers don't hate you.

The Problem

Bad API design is permanent. Once clients integrate with your API, changing it breaks them. The most common API design mistakes:

  • Inconsistent naming (/getUsers vs /users vs /user/list)
  • No pagination (return 50,000 records in one response)
  • No versioning (break everyone on every update)
  • Generic error messages ({"error": "something went wrong"})
  • No rate limiting (one bad actor takes down your API)
  • Authentication as an afterthought
  • No HATEOAS or discoverability
  • Inconsistent response formats across endpoints

Most teams design APIs endpoint-by-endpoint as they build features. No upfront design. No consistency guidelines. No schema. The result is an API that looks like it was designed by 7 different people (because it was).

The Solution

The API Design skill generates complete, consistent API specifications from a description of your domain and resources. OpenAPI 3.1 spec, authentication design, pagination, filtering, error handling β€” all consistent from day one.

The Process

View details
You: Design a RESTful API for a project management tool:
Resources: projects, tasks, users, comments, labels
Features: task assignment, due dates, priority levels,
file attachments, activity feed
Auth: JWT with refresh tokens
Need: OpenAPI spec, pagination, filtering, error handling

The agent generates a complete OpenAPI 3.1 specification with consistent patterns across all resources β€” proper HTTP methods, status codes, pagination (cursor-based), filtering, sorting, error response format, authentication flow, rate limit headers, and HATEOAS links.

Every endpoint follows the same conventions:

  • GET /v1/projects β€” list with pagination, filtering, sorting
  • POST /v1/projects β€” create with validation
  • GET /v1/projects/{id} β€” get single with field selection
  • PATCH /v1/projects/{id} β€” partial update (not PUT)
  • DELETE /v1/projects/{id} β€” soft delete with 204
  • GET /v1/projects/{id}/tasks β€” nested resources

Error format is consistent everywhere:

jsonShow code
{
  "error": {
    "code": "VALIDATION_ERROR",
    "message": "Task title is required",
    "details": [
      { "field": "title", "reason": "required", "message": "Title cannot be empty" }
    ],
    "requestId": "req_abc123",
    "documentation": "https://api.myapp.com/docs/errors#VALIDATION_ERROR"
  }
}

The Results

MetricAd-hoc API DesignAI-Designed API
Consistency7 people, 7 stylesOne coherent pattern
Time to complete spec1-2 weeks30 minutes
OpenAPI specWritten after (if ever)Generated first
PaginationOffset (broken at scale)Cursor-based
Error handling{"error": "bad"}Structured with codes
VersioningNone β†’ breaks clientsURL versioning from day 1

Setup on MrChief

yamlShow code
skills:
  - api-design
  - technical-writing  # For API documentation
api-designrestopenapipaginationerror-handling

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API Design That Developers Actually Love β€” RESTful Done Right β€” Mr.Chief