api-endpoint-creator
Guides standardized REST API endpoint creation following team conventions. Use when creating new API endpoints.
Best use case
api-endpoint-creator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Guides standardized REST API endpoint creation following team conventions. Use when creating new API endpoints.
Teams using api-endpoint-creator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/api-endpoint-creator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How api-endpoint-creator Compares
| Feature / Agent | api-endpoint-creator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Guides standardized REST API endpoint creation following team conventions. Use when creating new API endpoints.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
<objective>
Codify REST API design conventions and best practices for creating consistent, well-documented, and tested API endpoints. Ensure all endpoints follow the same patterns for authentication, error handling, validation, and documentation.
</objective>
<when_to_use>
Use this skill when:
- Creating a new REST API endpoint
- Adding routes to an existing API
- Refactoring endpoints to follow team standards
- Building CRUD operations for new resources
- Extending API functionality
Do NOT use this skill when:
- Building GraphQL APIs (use graphql-design skill)
- Creating internal-only functions (not exposed via API)
- Working on non-REST protocols (WebSocket, gRPC)
</when_to_use>
<prerequisites>
Before using this skill, ensure:
- API framework is set up (Flask, FastAPI, Express, etc.)
- Authentication system is in place
- Database models are defined
- OpenAPI/Swagger documentation structure exists
- Testing framework is configured
</prerequisites>
<workflow>
<step>
<name>Define Endpoint Specification</name>
Plan the endpoint before implementation:
**Endpoint Details:**
```yaml
# Endpoint specification template
method: POST
path: /api/v1/resources
description: Create a new resource
auth_required: true
rate_limit: 10 requests/minute
request_body:
content_type: application/json
schema:
name: string (required, max 100 chars)
description: string (optional, max 1000 chars)
tags: array of strings (optional)
response:
success: 201 Created
errors: 400 Bad Request, 401 Unauthorized, 409 Conflict
```
**URL Structure Conventions:**
Follow REST principles:
- `/api/v1/resources` - Collection endpoint (GET all, POST new)
- `/api/v1/resources/{id}` - Item endpoint (GET, PUT, PATCH, DELETE)
- `/api/v1/resources/{id}/subresources` - Nested resources
- `/api/v1/resources/actions` - Special actions (e.g., /search, /bulk)
**HTTP Methods:**
- `GET` - Retrieve resource(s), no side effects
- `POST` - Create new resource
- `PUT` - Replace entire resource
- `PATCH` - Update partial resource
- `DELETE` - Remove resource
</step>
<step>
<name>Implement Request Handling</name>
Create the endpoint with proper structure:
**Python/Flask Example:**
```python
from flask import Blueprint, request, jsonify
from functools import wraps
from marshmallow import Schema, fields, ValidationError
# Define request schema
class CreateResourceSchema(Schema):
name = fields.String(required=True, validate=lambda x: len(x) <= 100)
description = fields.String(validate=lambda x: len(x) <= 1000)
tags = fields.List(fields.String())
create_resource_schema = CreateResourceSchema()
@api_bp.route('/api/v1/resources', methods=['POST'])
@require_auth # Authentication decorator
@rate_limit(max_requests=10, window=60) # Rate limiting
def create_resource():
"""Create a new resource.
Request body:
{
"name": "Resource name",
"description": "Optional description",
"tags": ["tag1", "tag2"]
}
Returns:
201: Resource created successfully
400: Invalid request data
401: Authentication required
409: Resource already exists
"""
# 1. Parse and validate request
try:
data = create_resource_schema.load(request.get_json())
except ValidationError as e:
return jsonify({'error': 'Validation failed', 'details': e.messages}), 400
# 2. Authorization check (can user create resources?)
if not current_user.has_permission('create_resource'):
return jsonify({'error': 'Permission denied'}), 403
# 3. Business logic validation
existing = Resource.query.filter_by(
name=data['name'],
user_id=current_user.id
).first()
if existing:
return jsonify({'error': 'Resource with this name already exists'}), 409
# 4. Create resource
try:
resource = Resource(
name=data['name'],
description=data.get('description', ''),
tags=data.get('tags', []),
user_id=current_user.id,
created_at=datetime.utcnow()
)
db.session.add(resource)
db.session.commit()
# 5. Return response
return jsonify(resource.to_dict()), 201
except Exception as e:
db.session.rollback()
logger.error(f"Failed to create resource: {e}")
return jsonify({'error': 'Failed to create resource'}), 500
```
**Node.js/Express Example:**
```javascript
const express = require('express');
const { body, validationResult } = require('express-validator');
router.post('/api/v1/resources',
// Authentication middleware
requireAuth,
// Rate limiting middleware
rateLimit({ max: 10, windowMs: 60000 }),
// Validation middleware
body('name').isString().isLength({ max: 100 }).notEmpty(),
body('description').optional().isString().isLength({ max: 1000 }),
body('tags').optional().isArray(),
async (req, res) => {
// 1. Check validation
const errors = validationResult(req);
if (!errors.isEmpty()) {
return res.status(400).json({
error: 'Validation failed',
details: errors.array()
});
}
// 2. Authorization
if (!req.user.hasPermission('create_resource')) {
return res.status(403).json({ error: 'Permission denied' });
}
// 3. Business logic
const existing = await Resource.findOne({
name: req.body.name,
userId: req.user.id
});
if (existing) {
return res.status(409).json({
error: 'Resource with this name already exists'
});
}
// 4. Create resource
try {
const resource = await Resource.create({
name: req.body.name,
description: req.body.description || '',
tags: req.body.tags || [],
userId: req.user.id
});
// 5. Return response
res.status(201).json(resource.toJSON());
} catch (error) {
console.error('Failed to create resource:', error);
res.status(500).json({ error: 'Failed to create resource' });
}
}
);
```
**Key Components:**
1. **Input validation** - Validate request format and data types
2. **Authentication** - Verify user is authenticated
3. **Authorization** - Check user has permission for this action
4. **Business logic** - Check business rules (uniqueness, relationships)
5. **Error handling** - Catch and handle errors appropriately
6. **Response** - Return appropriate status code and data
</step>
<step>
<name>Implement Error Responses</name>
Use consistent error response format:
**Standard Error Format:**
```json
{
"error": "Brief error message",
"details": "More detailed explanation or validation errors",
"code": "ERROR_CODE",
"timestamp": "2025-01-20T10:30:00Z"
}
```
**Common HTTP Status Codes:**
- `200 OK` - Successful GET, PUT, PATCH, DELETE
- `201 Created` - Successful POST
- `204 No Content` - Successful DELETE with no response body
- `400 Bad Request` - Invalid request data
- `401 Unauthorized` - Authentication required
- `403 Forbidden` - Authenticated but not authorized
- `404 Not Found` - Resource doesn't exist
- `409 Conflict` - Resource already exists or conflict with current state
- `422 Unprocessable Entity` - Validation errors
- `429 Too Many Requests` - Rate limit exceeded
- `500 Internal Server Error` - Server error
**Error Handler Example:**
```python
from flask import jsonify
from datetime import datetime
def handle_api_error(error_message, status_code=400, details=None, code=None):
"""Create standardized error response."""
response = {
'error': error_message,
'timestamp': datetime.utcnow().isoformat() + 'Z'
}
if details:
response['details'] = details
if code:
response['code'] = code
return jsonify(response), status_code
# Usage:
return handle_api_error(
'Resource not found',
status_code=404,
code='RESOURCE_NOT_FOUND'
)
```
</step>
<step>
<name>Add Pagination (for Collection Endpoints)</name>
Implement pagination for list endpoints:
**Pagination Parameters:**
```python
@api_bp.route('/api/v1/resources', methods=['GET'])
@require_auth
def list_resources():
"""List resources with pagination.
Query parameters:
page: Page number (default: 1)
per_page: Items per page (default: 20, max: 100)
sort: Sort field (default: created_at)
order: Sort order (asc/desc, default: desc)
"""
# Parse pagination params
page = request.args.get('page', 1, type=int)
per_page = min(request.args.get('per_page', 20, type=int), 100)
sort = request.args.get('sort', 'created_at')
order = request.args.get('order', 'desc')
# Validate sort field (prevent SQL injection)
allowed_sort_fields = ['created_at', 'updated_at', 'name']
if sort not in allowed_sort_fields:
return handle_api_error(f'Invalid sort field. Use: {allowed_sort_fields}')
# Query with pagination
query = Resource.query.filter_by(user_id=current_user.id)
# Apply sorting
sort_column = getattr(Resource, sort)
if order == 'desc':
query = query.order_by(sort_column.desc())
else:
query = query.order_by(sort_column.asc())
# Paginate
pagination = query.paginate(page=page, per_page=per_page, error_out=False)
# Build response
return jsonify({
'items': [r.to_dict() for r in pagination.items],
'pagination': {
'page': page,
'per_page': per_page,
'total_pages': pagination.pages,
'total_items': pagination.total,
'has_next': pagination.has_next,
'has_prev': pagination.has_prev
}
}), 200
```
**Pagination Response Format:**
```json
{
"items": [
{"id": 1, "name": "Resource 1"},
{"id": 2, "name": "Resource 2"}
],
"pagination": {
"page": 1,
"per_page": 20,
"total_pages": 5,
"total_items": 95,
"has_next": true,
"has_prev": false
}
}
```
</step>
<step>
<name>Create Tests</name>
Write comprehensive tests for the endpoint:
**Test Structure:**
```python
import pytest
from app import create_app, db
from app.models import Resource, User
@pytest.fixture
def client():
"""Create test client."""
app = create_app('testing')
with app.test_client() as client:
with app.app_context():
db.create_all()
yield client
db.drop_all()
@pytest.fixture
def auth_headers():
"""Create auth headers for testing."""
user = User.create(email='test@example.com', password='password')
token = user.generate_auth_token()
return {'Authorization': f'Bearer {token}'}
# Test happy path
def test_create_resource_with_valid_data_returns_201(client, auth_headers):
"""Test creating resource with valid data."""
data = {
'name': 'Test Resource',
'description': 'Test description',
'tags': ['tag1', 'tag2']
}
response = client.post('/api/v1/resources',
json=data,
headers=auth_headers)
assert response.status_code == 201
json_data = response.get_json()
assert json_data['name'] == 'Test Resource'
assert json_data['description'] == 'Test description'
assert json_data['tags'] == ['tag1', 'tag2']
assert 'id' in json_data
assert 'created_at' in json_data
# Test authentication
def test_create_resource_without_auth_returns_401(client):
"""Test endpoint requires authentication."""
data = {'name': 'Test Resource'}
response = client.post('/api/v1/resources', json=data)
assert response.status_code == 401
assert 'error' in response.get_json()
# Test validation
def test_create_resource_with_missing_name_returns_400(client, auth_headers):
"""Test name field is required."""
data = {'description': 'Description without name'}
response = client.post('/api/v1/resources',
json=data,
headers=auth_headers)
assert response.status_code == 400
json_data = response.get_json()
assert 'error' in json_data
assert 'name' in json_data.get('details', {})
def test_create_resource_with_too_long_name_returns_400(client, auth_headers):
"""Test name length validation."""
data = {'name': 'x' * 101} # Exceeds 100 char limit
response = client.post('/api/v1/resources',
json=data,
headers=auth_headers)
assert response.status_code == 400
# Test business logic
def test_create_resource_with_duplicate_name_returns_409(client, auth_headers):
"""Test duplicate name is rejected."""
data = {'name': 'Unique Name'}
# Create first resource
response1 = client.post('/api/v1/resources',
json=data,
headers=auth_headers)
assert response1.status_code == 201
# Try to create duplicate
response2 = client.post('/api/v1/resources',
json=data,
headers=auth_headers)
assert response2.status_code == 409
assert 'already exists' in response2.get_json()['error'].lower()
# Test list endpoint
def test_list_resources_returns_paginated_results(client, auth_headers):
"""Test listing resources with pagination."""
# Create test resources
for i in range(25):
Resource.create(name=f'Resource {i}', user_id=current_user.id)
# Request first page
response = client.get('/api/v1/resources?page=1&per_page=10',
headers=auth_headers)
assert response.status_code == 200
json_data = response.get_json()
assert len(json_data['items']) == 10
assert json_data['pagination']['page'] == 1
assert json_data['pagination']['total_items'] == 25
assert json_data['pagination']['has_next'] is True
assert json_data['pagination']['has_prev'] is False
```
**Test Coverage Requirements:**
- Happy path (valid data)
- Authentication (with/without auth)
- Authorization (sufficient/insufficient permissions)
- Validation (missing, invalid, edge cases)
- Business logic (duplicates, conflicts)
- Error handling (database errors, etc.)
- Pagination (if applicable)
</step>
<step>
<name>Document with OpenAPI</name>
Create OpenAPI documentation:
**OpenAPI Specification:**
```yaml
openapi: 3.0.0
paths:
/api/v1/resources:
post:
summary: Create a new resource
description: Creates a new resource for the authenticated user
tags:
- Resources
security:
- BearerAuth: []
requestBody:
required: true
content:
application/json:
schema:
type: object
required:
- name
properties:
name:
type: string
maxLength: 100
example: "My Resource"
description:
type: string
maxLength: 1000
example: "A detailed description"
tags:
type: array
items:
type: string
example: ["important", "project-alpha"]
responses:
'201':
description: Resource created successfully
content:
application/json:
schema:
$ref: '#/components/schemas/Resource'
'400':
description: Invalid request data
content:
application/json:
schema:
$ref: '#/components/schemas/Error'
'401':
description: Authentication required
'403':
description: Permission denied
'409':
description: Resource already exists
get:
summary: List resources
description: Retrieve a paginated list of resources
tags:
- Resources
security:
- BearerAuth: []
parameters:
- name: page
in: query
schema:
type: integer
minimum: 1
default: 1
- name: per_page
in: query
schema:
type: integer
minimum: 1
maximum: 100
default: 20
- name: sort
in: query
schema:
type: string
enum: [created_at, updated_at, name]
default: created_at
- name: order
in: query
schema:
type: string
enum: [asc, desc]
default: desc
responses:
'200':
description: List of resources
content:
application/json:
schema:
type: object
properties:
items:
type: array
items:
$ref: '#/components/schemas/Resource'
pagination:
$ref: '#/components/schemas/Pagination'
components:
schemas:
Resource:
type: object
properties:
id:
type: integer
example: 1
name:
type: string
example: "My Resource"
description:
type: string
example: "A detailed description"
tags:
type: array
items:
type: string
example: ["important", "project-alpha"]
user_id:
type: integer
example: 42
created_at:
type: string
format: date-time
example: "2025-01-20T10:30:00Z"
updated_at:
type: string
format: date-time
example: "2025-01-20T10:30:00Z"
Error:
type: object
properties:
error:
type: string
example: "Validation failed"
details:
type: object
example: {"name": ["This field is required"]}
code:
type: string
example: "VALIDATION_ERROR"
timestamp:
type: string
format: date-time
Pagination:
type: object
properties:
page:
type: integer
per_page:
type: integer
total_pages:
type: integer
total_items:
type: integer
has_next:
type: boolean
has_prev:
type: boolean
securitySchemes:
BearerAuth:
type: http
scheme: bearer
bearerFormat: JWT
```
**Python Automatic Documentation:**
```python
# Using flask-apispec for automatic OpenAPI generation
from flask_apispec import use_kwargs, marshal_with, doc
@api_bp.route('/api/v1/resources', methods=['POST'])
@doc(description='Create a new resource', tags=['Resources'])
@use_kwargs(CreateResourceSchema)
@marshal_with(ResourceSchema, code=201)
@require_auth
def create_resource():
# Implementation
pass
```
</step>
</workflow>
<best_practices>
<practice>
<title>Use Consistent URL Patterns</title>
Follow REST conventions for predictability.
</practice>
<practice>
<title>Version Your API</title>
Use `/api/v1/` prefix to allow future breaking changes without affecting existing clients.
</practice>
<practice>
<title>Return Appropriate Status Codes</title>
Status codes provide semantic meaning; use them correctly.
</practice>
<practice>
<title>Validate Early</title>
Validate input as early as possible to fail fast and provide clear errors.
</practice>
<practice>
<title>Degree of Freedom</title>
**Medium Freedom**: Core patterns (auth, validation, error format, documentation) must be followed, but implementation details can vary based on framework and requirements.
</practice>
<practice>
<title>Token Efficiency</title>
This skill uses approximately **3,200 tokens** when fully loaded.
</practice>
</best_practices>
<common_pitfalls>
<pitfall>
<name>Insufficient Validation</name>
**What Happens:** Invalid data reaches database or business logic, causing errors or security issues.
**How to Avoid:**
- Validate all input at the API boundary
- Use schema validation libraries
- Validate types, formats, lengths, and business rules
</pitfall>
<pitfall>
<name>Inconsistent Error Responses</name>
**What Happens:** Different endpoints return errors in different formats, making client integration difficult.
**How to Avoid:**
- Use standard error response format across all endpoints
- Create helper functions for error responses
- Document error format in API spec
</pitfall>
<pitfall>
<name>Missing Authentication/Authorization</name>
**What Happens:** Security vulnerability allowing unauthorized access.
**How to Avoid:**
- Always add authentication to non-public endpoints
- Check authorization (not just authentication)
- Test with and without auth credentials
</pitfall>
</common_pitfalls>
<examples>
<example>
<title>Simple CRUD Endpoint</title>
**Context:** Create endpoints for managing user profiles.
**Implementation:**
```python
# GET /api/v1/profiles/{id}
@api_bp.route('/api/v1/profiles/<int:profile_id>', methods=['GET'])
@require_auth
def get_profile(profile_id):
profile = Profile.query.get_or_404(profile_id)
# Check authorization
if profile.user_id != current_user.id and not current_user.is_admin:
return handle_api_error('Permission denied', 403)
return jsonify(profile.to_dict()), 200
# PUT /api/v1/profiles/{id}
@api_bp.route('/api/v1/profiles/<int:profile_id>', methods=['PUT'])
@require_auth
def update_profile(profile_id):
profile = Profile.query.get_or_404(profile_id)
if profile.user_id != current_user.id:
return handle_api_error('Permission denied', 403)
try:
data = update_profile_schema.load(request.get_json())
except ValidationError as e:
return handle_api_error('Validation failed', 400, details=e.messages)
profile.update(**data)
db.session.commit()
return jsonify(profile.to_dict()), 200
# DELETE /api/v1/profiles/{id}
@api_bp.route('/api/v1/profiles/<int:profile_id>', methods=['DELETE'])
@require_auth
def delete_profile(profile_id):
profile = Profile.query.get_or_404(profile_id)
if profile.user_id != current_user.id:
return handle_api_error('Permission denied', 403)
db.session.delete(profile)
db.session.commit()
return '', 204
```
**Outcome:** Complete CRUD operations following team conventions.
</example>
</examples>
<related_skills>
- **api-design**: General REST API design principles
- **authentication-patterns**: Detailed auth implementation
- **database-design**: Database schema for API resources
- **integration-testing**: Testing API endpoints end-to-end
</related_skills>
<notes>
<version_history>
### Version 1.0.0 (2025-01-20)
- Initial creation
- Standard patterns for REST API endpoints
- Comprehensive examples and testing guidance
</version_history>
<additional_resources>
- [REST API Design Best Practices](https://restfulapi.net/)
- [OpenAPI Specification](https://swagger.io/specification/)
- Internal: API Style Guide at [internal wiki]
</additional_resources>
</notes>
<success_criteria>
API endpoint creation is considered successful when:
1. **Specification Defined**
- Clear HTTP method and path
- Request/response schema documented
- Authentication/authorization requirements specified
- Rate limiting defined if applicable
2. **Implementation Complete**
- Request parsing and validation implemented
- Authentication/authorization checks in place
- Business logic properly handled
- Error handling comprehensive
- Appropriate status codes returned
3. **Error Handling Consistent**
- Standard error format used
- All error cases covered
- Appropriate HTTP status codes
- Helpful error messages
4. **Pagination Added (if collection endpoint)**
- Page and per_page parameters supported
- Sorting options available
- Pagination metadata in response
- SQL injection protection for sort fields
5. **Tests Written and Passing**
- Happy path tested
- Authentication/authorization tested
- Validation tested (all edge cases)
- Business logic tested
- Error cases tested
- Test coverage meets threshold
6. **Documentation Complete**
- OpenAPI specification created
- Request/response examples provided
- Authentication requirements documented
- Error responses documented
- Code has appropriate docstrings
7. **Review Passed**
- Code review completed
- Security review passed
- Performance acceptable
- Team conventions followed
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