Skip to content
cccskills
FreePublished on GitHubEnglish overview

api-design

Design and review REST APIs with consistent URLs, HTTP status codes, error responses, and pagination, which divides results into smaller batches. Covers authentication, access limits, and versioning to help define clear behavior for API users.

OriginalShow the original description

REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs. Use when designing or reviewing REST endpoints, resource names, status codes, pagination, or versioning.

AI rating100/ 100See how to install

Good for

  • Designing endpoints for a new REST API
  • Reviewing status codes and error responses
  • Choosing pagination for list endpoints
  • Planning public API versioning and access limits

Overview

What it does

api-design guides REST API design and review through concrete examples and checklists. It helps organize URL naming, HTTP methods, status codes that communicate processing results, and response formats for successful requests and errors. It also covers pagination—retrieving a list in smaller batches—along with filtering, sorting, authentication, access permissions, request limits, and versioning.

When it helps

Use it when creating a new API or bringing consistency to an existing API whose names and response formats vary. It also helps you choose how to retrieve lists for an admin dashboard or a large dataset. Before opening an API to external users, you can use it to review input validation, permission checks, and possible exposure of internal information.

Example requests

  • “Design the URLs and response formats for a REST API that handles users and orders.”
  • “Compare pagination methods for this list API.”
  • “Review the status codes and error responses in our existing API.”

Notes

The license is MIT. Implementation examples include Next.js, Django REST Framework, and net/http. If you adopt an example, adapt its implementation to the language and framework you use.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Objective evaluation

AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.

Clear instructionsIs it clear when to use it and what it does?
AGoodThe activation section lists new endpoint design, existing contract reviews, and adding pagination among its use cases.
Concrete stepsAre steps, inputs, outputs, and examples spelled out?
AGoodIt includes URL examples, a status code reference, JSON response formats, and SQL examples for pagination.
SafetyAre sending data, deleting files, and running commands disclosed?
AGoodThe deletion example checks administrator permissions, and the status code guidance explicitly prohibits exposing internal error details.
Easy setupDoes it need few tools or API keys, and are they documented?
AGoodThe material consists mainly of design conventions and code examples, with no mandatory API key or external service specified.

The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 19, 2026. Treat it as a guide and read the original before installing.

Disagree? Request a re-evaluation

Tell us which point is wrong and why. No login needed. We will check it against the SKILL.md, redo the evaluation, and show the result here.

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

Files included (2)

  • SKILL.md12.9 KB
  • agents/openai.yaml265 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

API Design Patterns

Conventions and best practices for designing consistent, developer-friendly REST APIs.

When to Activate

  • Designing new API endpoints
  • Reviewing existing API contracts
  • Adding pagination, filtering, or sorting
  • Implementing error handling for APIs
  • Planning API versioning strategy
  • Building public or partner-facing APIs

Resource Design

URL Structure

# Resources are nouns, plural, lowercase, kebab-case
GET    /api/v1/users
GET    /api/v1/users/:id
POST   /api/v1/users
PUT    /api/v1/users/:id
PATCH  /api/v1/users/:id
DELETE /api/v1/users/:id

# Sub-resources for relationships
GET    /api/v1/users/:id/orders
POST   /api/v1/users/:id/orders

# Actions that don't map to CRUD (use verbs sparingly)
POST   /api/v1/orders/:id/cancel
POST   /api/v1/auth/login
POST   /api/v1/auth/refresh

Naming Rules

# GOOD
/api/v1/team-members          # kebab-case for multi-word resources
/api/v1/orders?status=active  # query params for filtering
/api/v1/users/123/orders      # nested resources for ownership

# BAD
/api/v1/getUsers              # verb in URL
/api/v1/user                  # singular (use plural)
/api/v1/team_members          # snake_case in URLs
/api/v1/users/123/getOrders   # verb in nested resource

HTTP Methods and Status Codes

Method Semantics

MethodIdempotentSafeUse For
GETYesYesRetrieve resources
POSTNoNoCreate resources, trigger actions
PUTYesNoFull replacement of a resource
PATCHNo*NoPartial update of a resource
DELETEYesNoRemove a resource

*PATCH can be made idempotent with proper implementation

Status Code Reference

# Success
200 OK                    — GET, PUT, PATCH (with response body)
201 Created               — POST (include Location header)
204 No Content            — DELETE, PUT (no response body)

# Client Errors
400 Bad Request           — Validation failure, malformed JSON
401 Unauthorized          — Missing or invalid authentication
403 Forbidden             — Authenticated but not authorized
404 Not Found             — Resource doesn't exist
409 Conflict              — Duplicate entry, state conflict
422 Unprocessable Entity  — Semantically invalid (valid JSON, bad data)
429 Too Many Requests     — Rate limit exceeded

# Server Errors
500 Internal Server Error — Unexpected failure (never expose details)
502 Bad Gateway           — Upstream service failed
503 Service Unavailable   — Temporary overload, include Retry-After

Common Mistakes

# BAD: 200 for everything
{ "status": 200, "success": false, "error": "Not found" }

# GOOD: Use HTTP status codes semantically
HTTP/1.1 404 Not Found
{ "error": { "code": "not_found", "message": "User not found" } }

# BAD: 500 for validation errors
# GOOD: 400 or 422 with field-level details

# BAD: 200 for created resources
# GOOD: 201 with Location header
HTTP/1.1 201 Created
Location: /api/v1/users/abc-123

Response Format

Success Response

{
  "data": {
    "id": "abc-123",
    "email": "alice@example.com",
    "name": "Alice",
    "created_at": "2025-01-15T10:30:00Z"
  }
}

Collection Response (with Pagination)

{
  "data": [
    { "id": "abc-123", "name": "Alice" },
    { "id": "def-456", "name": "Bob" }
  ],
  "meta": {
    "total": 142,
    "page": 1,
    "per_page": 20,
    "total_pages": 8
  },
  "links": {
    "self": "/api/v1/users?page=1&per_page=20",
    "next": "/api/v1/users?page=2&per_page=20",
    "last": "/api/v1/users?page=8&per_page=20"
  }
}

Error Response

{
  "error": {
    "code": "validation_error",
    "message": "Request validation failed",
    "details": [
      {
        "field": "email",
        "message": "Must be a valid email address",
        "code": "invalid_format"
      },
      {
        "field": "age",
        "message": "Must be between 0 and 150",
        "code": "out_of_range"
      }
    ]
  }
}

Response Envelope Variants

// Option A: Envelope with data wrapper (recommended for public APIs)
interface ApiResponse<T> {
  data: T;
  meta?: PaginationMeta;
  links?: PaginationLinks;
}

interface ApiError {
  error: {
    code: string;
    message: string;
    details?: FieldError[];
  };
}

// Option B: Flat response (simpler, common for internal APIs)
// Success: just return the resource directly
// Error: return error object
// Distinguish by HTTP status code

Pagination

Offset-Based (Simple)

GET /api/v1/users?page=2&per_page=20

# Implementation
SELECT * FROM users
ORDER BY created_at DESC
LIMIT 20 OFFSET 20;

Pros: Easy to implement, supports "jump to page N" Cons: Slow on large offsets (OFFSET 100000), inconsistent with concurrent inserts

Cursor-Based (Scalable)

GET /api/v1/users?cursor=eyJpZCI6MTIzfQ&limit=20

# Implementation
SELECT * FROM users
WHERE id > :cursor_id
ORDER BY id ASC
LIMIT 21;  -- fetch one extra to determine has_next
{
  "data": [...],
  "meta": {
    "has_next": true,
    "next_cursor": "eyJpZCI6MTQzfQ"
  }
}

Pros: Consistent performance regardless of position, stable with concurrent inserts Cons: Cannot jump to arbitrary page, cursor is opaque

When to Use Which

Use CasePagination Type
Admin dashboards, small datasets (<10K)Offset
Infinite scroll, feeds, large datasetsCursor
Public APIsCursor (default) with offset (optional)
Search resultsOffset (users expect page numbers)

Filtering, Sorting, and Search

Filtering

# Simple equality
GET /api/v1/orders?status=active&customer_id=abc-123

# Comparison operators (use bracket notation)
GET /api/v1/products?price[gte]=10&price[lte]=100
GET /api/v1/orders?created_at[after]=2025-01-01

# Multiple values (comma-separated)
GET /api/v1/products?category=electronics,clothing

# Nested fields (dot notation)
GET /api/v1/orders?customer.country=US

Sorting

# Single field (prefix - for descending)
GET /api/v1/products?sort=-created_at

# Multiple fields (comma-separated)
GET /api/v1/products?sort=-featured,price,-created_at

Full-Text Search

# Search query parameter
GET /api/v1/products?q=wireless+headphones

# Field-specific search
GET /api/v1/users?email=alice

Sparse Fieldsets

# Return only specified fields (reduces payload)
GET /api/v1/users?fields=id,name,email
GET /api/v1/orders?fields=id,total,status&include=customer.name

Authentication and Authorization

Token-Based Auth

# Bearer token in Authorization header
GET /api/v1/users
Authorization: Bearer eyJhbGciOiJIUzI1NiIs...

# API key (for server-to-server)
GET /api/v1/data
X-API-Key: sk_live_abc123

Authorization Patterns

// Resource-level: check ownership
app.get("/api/v1/orders/:id", async (req, res) => {
  const order = await Order.findById(req.params.id);
  if (!order) return res.status(404).json({ error: { code: "not_found" } });
  if (order.userId !== req.user.id) return res.status(403).json({ error: { code: "forbidden" } });
  return res.json({ data: order });
});

// Role-based: check permissions
app.delete("/api/v1/users/:id", requireRole("admin"), async (req, res) => {
  await User.delete(req.params.id);
  return res.status(204).send();
});

Rate Limiting

Headers

HTTP/1.1 200 OK
X-RateLimit-Limit: 100
X-RateLimit-Remaining: 95
X-RateLimit-Reset: 1640000000

# When exceeded
HTTP/1.1 429 Too Many Requests
Retry-After: 60
{
  "error": {
    "code": "rate_limit_exceeded",
    "message": "Rate limit exceeded. Try again in 60 seconds."
  }
}

Rate Limit Tiers

TierLimitWindowUse Case
Anonymous30/minPer IPPublic endpoints
Authenticated100/minPer userStandard API access
Premium1000/minPer API keyPaid API plans
Internal10000/minPer serviceService-to-service

Versioning

URL Path Versioning (Recommended)

/api/v1/users
/api/v2/users

Pros: Explicit, easy to route, cacheable Cons: URL changes between versions

Header Versioning

GET /api/users
Accept: application/vnd.myapp.v2+json

Pros: Clean URLs Cons: Harder to test, easy to forget

Versioning Strategy

1. Start with /api/v1/ — don't version until you need to
2. Maintain at most 2 active versions (current + previous)
3. Deprecation timeline:
   - Announce deprecation (6 months notice for public APIs)
   - Add Sunset header: Sunset: Sat, 01 Jan 2026 00:00:00 GMT
   - Return 410 Gone after sunset date
4. Non-breaking changes don't need a new version:
   - Adding new fields to responses
   - Adding new optional query parameters
   - Adding new endpoints
5. Breaking changes require a new version:
   - Removing or renaming fields
   - Changing field types
   - Changing URL structure
   - Changing authentication method

Implementation Patterns

TypeScript (Next.js API Route)

import { z } from "zod";
import { NextRequest, NextResponse } from "next/server";

const createUserSchema = z.object({
  email: z.string().email(),
  name: z.string().min(1).max(100),
});

export async function POST(req: NextRequest) {
  const body = await req.json();
  const parsed = createUserSchema.safeParse(body);

  if (!parsed.success) {
    return NextResponse.json({
      error: {
        code: "validation_error",
        message: "Request validation failed",
        details: parsed.error.issues.map(i => ({
          field: i.path.join("."),
          message: i.message,
          code: i.code,
        })),
      },
    }, { status: 422 });
  }

  const user = await createUser(parsed.data);

  return NextResponse.json(
    { data: user },
    {
      status: 201,
      headers: { Location: `/api/v1/users/${user.id}` },
    },
  );
}

Python (Django REST Framework)

from rest_framework import serializers, viewsets, status
from rest_framework.response import Response

class CreateUserSerializer(serializers.Serializer):
    email = serializers.EmailField()
    name = serializers.CharField(max_length=100)

class UserSerializer(serializers.ModelSerializer):
    class Meta:
        model = User
        fields = ["id", "email", "name", "created_at"]

class UserViewSet(viewsets.ModelViewSet):
    serializer_class = UserSerializer
    permission_classes = [IsAuthenticated]

    def get_serializer_class(self):
        if self.action == "create":
            return CreateUserSerializer
        return UserSerializer

    def create(self, request):
        serializer = CreateUserSerializer(data=request.data)
        serializer.is_valid(raise_exception=True)
        user = UserService.create(**serializer.validated_data)
        return Response(
            {"data": UserSerializer(user).data},
            status=status.HTTP_201_CREATED,
            headers={"Location": f"/api/v1/users/{user.id}"},
        )

Go (net/http)

func (h *UserHandler) CreateUser(w http.ResponseWriter, r *http.Request) {
    var req CreateUserRequest
    if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
        writeError(w, http.StatusBadRequest, "invalid_json", "Invalid request body")
        return
    }

    if err := req.Validate(); err != nil {
        writeError(w, http.StatusUnprocessableEntity, "validation_error", err.Error())
        return
    }

    user, err := h.service.Create(r.Context(), req)
    if err != nil {
        switch {
        case errors.Is(err, domain.ErrEmailTaken):
            writeError(w, http.StatusConflict, "email_taken", "Email already registered")
        default:
            writeError(w, http.StatusInternalServerError, "internal_error", "Internal error")
        }
        return
    }

    w.Header().Set("Location", fmt.Sprintf("/api/v1/users/%s", user.ID))
    writeJSON(w, http.StatusCreated, map[string]any{"data": user})
}

API Design Checklist

Before shipping a new endpoint:

  • Resource URL follows naming conventions (plural, kebab-case, no verbs)
  • Correct HTTP method used (GET for reads, POST for creates, etc.)
  • Appropriate status codes returned (not 200 for everything)
  • Input validated with schema (Zod, Pydantic, Bean Validation)
  • Error responses follow standard format with codes and messages
  • Pagination implemented for list endpoints (cursor or offset)
  • Authentication required (or explicitly marked as public)
  • Authorization checked (user can only access their own resources)
  • Rate limiting configured
  • Response does not leak internal details (stack traces, SQL errors)
  • Consistent naming with existing endpoints (camelCase vs snake_case)
  • Documented (OpenAPI/Swagger spec updated)

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

accessibility

FreeSummaryAI rating 100

Design and audit interfaces for Web, iOS, and Android using WCAG 2.2 accessibility guidance. Check screen-reader labels, keyboard navigation, contrast, and control sizes to identify barriers and guide implementation for people using assistive technology.

  • Adding descriptive labels to icon-only buttons
  • Reviewing keyboard navigation and modal focus
  • Checking contrast and control sizes
affaan-m/ECC283.7KUpdated Oct 16, 2026

agent-architecture-audit

FreeSummaryAI rating 80

Investigate unreliable AI agents across 12 layers, including instructions, memory, tool execution, and display. Use code and logs to trace failures, rank findings by severity, and produce an ordered repair plan that prioritizes code changes.

  • Investigating failures that appear only inside an agent application
  • Tracing old conversation content leaking into new sessions
  • Checking skipped or falsely claimed tool execution
affaan-m/ECC283.7KUpdated Oct 16, 2026

agent-eval

FreeSummaryAI rating 80

Compare coding agents on tasks from your own codebase. Define success checks, run agents in separate Git working directories, and report pass rates, available API costs, completion time, and consistency across repeated trials.

  • Comparing coding agents on real development tasks
  • Evaluating a new tool or model before adoption
  • Checking performance after agent updates
affaan-m/ECC283.7KUpdated Oct 16, 2026

agent-harness-construction

FreeSummaryAI rating 100

Design and refine an AI agent’s available actions, tool inputs, and result formats. Define recovery steps for errors, manage the information kept in context, and evaluate changes through completion rates, retries, and cost per successful task.

  • Define an AI agent’s tool set and input formats
  • Make tool results and next steps easier to interpret
  • Specify safe retries and stopping conditions
affaan-m/ECC283.7KUpdated Oct 16, 2026

agent-introspection-debugging

FreeSummaryAI rating 100

Diagnose failed AI agent runs by capturing errors, checking likely causes, and choosing small, reversible recovery actions. The workflow produces a structured report of the failure, recovery steps, and evidence, helping explain repeated retries or stalled progress.

  • Diagnosing repeated tool calls with no progress
  • Investigating quality loss as context grows
  • Checking file paths and environment mismatches
affaan-m/ECC283.7KUpdated Oct 16, 2026

agent-introspection-debugging

FreeSummaryAI rating 100

Diagnose AI agent runs that fail repeatedly, loop through tools, or lose track of the task. Capture errors and environment details, test a focused recovery action, and produce a report explaining the evidence and outcome.

  • Diagnosing repeated failures in an agent run
  • Investigating loops through the same tool calls
  • Reviewing output degradation as context grows
affaan-m/ECC283.7KUpdated Oct 5, 2026

See all skills by affaan-m

Report a problem with this skill