Api Designer

Purpose

The api-designer skill provides comprehensive guidance for designing robust, RESTful APIs and function contracts that serve as clear interfaces for feature implementations. This skill helps the Architecture Designer agent create well-structured, documented, and maintainable API designs that follow industry best practices.

This skill emphasizes:

• REST Principles: Proper resource design, HTTP method usage, and status codes
• Clear Contracts: Well-defined request/response schemas
• Error Handling: Consistent error response formats
• Authentication: Security patterns and authorization strategies
• Documentation: Comprehensive API documentation for consumers

The api-designer skill ensures that APIs are intuitive, consistent, and provide excellent developer experience for both internal and external consumers.

When to Use

This skill auto-activates when the agent describes:

• "Design API endpoints for..."
• "Create REST API for..."
• "Define function contract for..."
• "Specify request/response schemas..."
• "Design authentication for..."
• "Plan API structure with..."
• "Define error responses for..."
• "Create API documentation for..."

Provided Capabilities

1. REST API Endpoint Design

What it provides:

• Resource identification and naming
• HTTP method selection (GET, POST, PUT, PATCH, DELETE)
• URL structure and path parameters
• Query parameter design
• Status code selection
• Idempotency considerations

REST Principles:

• Resources as nouns, not verbs
• HTTP methods for actions
• Stateless design
• Standard status codes
• HATEOAS (optional)

Example:

from pydantic import BaseModel, Field
from typing import List, Optional
from datetime import datetime

# ==================== RESOURCE: Users ====================

class UserCreate(BaseModel):
    """Request schema for creating user."""
    username: str = Field(..., min_length=3, max_length=50)
    email: str = Field(...)
    full_name: str = Field(..., min_length=1, max_length=200)

class UserResponse(BaseModel):
    """Response schema for user."""
    id: int
    username: str
    email: str
    full_name: str
    is_active: bool
    created_at: datetime

class UserUpdate(BaseModel):
    """Request schema for updating user (all optional)."""
    email: Optional[str] = None
    full_name: Optional[str] = None
    is_active: Optional[bool] = None

class UserList(BaseModel):
    """Response schema for user list with pagination."""
    items: List[UserResponse]
    total: int
    page: int
    page_size: int
    total_pages: int

# API Endpoints
"""
POST   /api/v1/users              Create new user
GET    /api/v1/users              List users (with pagination)
GET    /api/v1/users/{user_id}    Get user by ID
PUT    /api/v1/users/{user_id}    Update user (full replace)
PATCH  /api/v1/users/{user_id}    Update user (partial)
DELETE /api/v1/users/{user_id}    Delete user

Query Parameters for GET /api/v1/users:
- page: int = 1          (pagination)
- page_size: int = 20    (items per page)
- search: str = None     (search filter)
- is_active: bool = None (status filter)
- sort_by: str = "created_at"
- sort_order: str = "desc"

Status Codes:
- 200 OK: Successful GET, PUT, PATCH
- 201 Created: Successful POST
- 204 No Content: Successful DELETE
- 400 Bad Request: Invalid input
- 401 Unauthorized: Authentication required
- 403 Forbidden: Insufficient permissions
- 404 Not Found: Resource not found
- 409 Conflict: Resource conflict (duplicate)
- 422 Unprocessable Entity: Validation error
- 500 Internal Server Error: Server error
"""

2. Request/Response Schema Design

What it provides:

• Input validation schemas
• Output serialization schemas
• Partial update schemas
• List/pagination schemas
• Error response schemas

Schema Patterns:

Create Request (POST):

class ResourceCreate(BaseModel):
    """All fields required for creation."""
    name: str = Field(..., min_length=1, max_length=200)
    description: Optional[str] = Field(None, max_length=1000)
    category: str = Field(...)

Update Request (PUT - Full Replace):

class ResourceUpdate(BaseModel):
    """All fields required for full update."""
    name: str = Field(..., min_length=1, max_length=200)
    description: Optional[str] = Field(None, max_length=1000)
    category: str = Field(...)

Partial Update Request (PATCH):

class ResourcePatch(BaseModel):
    """All fields optional for partial update."""
    name: Optional[str] = Field(None, min_length=1, max_length=200)
    description: Optional[str] = Field(None, max_length=1000)
    category: Optional[str] = None

Response Schema:

class ResourceResponse(BaseModel):
    """Response includes ID and audit fields."""
    id: int
    name: str
    description: Optional[str]
    category: str
    created_at: datetime
    updated_at: Optional[datetime]

    class Config:
        orm_mode = True  # Enable ORM integration

List Response with Pagination:

class PaginatedResponse(BaseModel):
    """Generic paginated response."""
    items: List[ResourceResponse]
    total: int = Field(..., description="Total number of items")
    page: int = Field(..., description="Current page number", ge=1)
    page_size: int = Field(..., description="Items per page", ge=1, le=100)
    total_pages: int = Field(..., description="Total number of pages")

    @property
    def has_next(self) -> bool:
        """Check if there's a next page."""
        return self.page  bool:
        """Check if there's a previous page."""
        return self.page > 1

3. Error Response Formats

What it provides:

• Consistent error structure
• Error codes and types
• Detailed validation errors
• User-friendly messages
• Debug information (optional)

Standard Error Response:

from typing import Optional, List, Dict, Any

class ValidationError(BaseModel):
    """Individual validation error."""
    field: str = Field(..., description="Field name with error")
    message: str = Field(..., description="Error message")
    code: str = Field(..., description="Error code")

class ErrorResponse(BaseModel):
    """Standard error response."""
    error: str = Field(..., description="Error type (e.g., 'validation_error')")
    message: str = Field(..., description="Human-readable error message")
    details: Optional[List[ValidationError]] = Field(None, description="Validation errors")
    request_id: Optional[str] = Field(None, description="Request ID for tracking")
    timestamp: datetime = Field(default_factory=datetime.utcnow)

    class Config:
        schema_extra = {
            "example": {
                "error": "validation_error",
                "message": "Request validation failed",
                "details": [
                    {
                        "field": "email",
                        "message": "Invalid email format",
                        "code": "invalid_format"
                    }
                ],
                "request_id": "req_abc123",
                "timestamp": "2025-10-29T10:00:00Z"
            }
        }

# Error Types
"""
validation_error: Request validation failed (400)
authentication_error: Authentication failed (401)
authorization_error: Insufficient permissions (403)
not_found_error: Resource not found (404)
conflict_error: Resource conflict (409)
rate_limit_error: Rate limit exceeded (429)
internal_error: Internal server error (500)
"""

4. Authentication and Authorization

What it provides:

• Authentication patterns (JWT, OAuth2, API Key)
• Authorization strategies (RBAC, ABAC)
• Token validation
• Permission checking
• Security headers

JWT Authentication Example:

from pydantic import BaseModel, Field
from typing import Optional, List

class LoginRequest(BaseModel):
    """Login request schema."""
    username: str = Field(..., min_length=1)
    password: str = Field(..., min_length=1)

class TokenResponse(BaseModel):
    """Token response schema."""
    access_token: str = Field(..., description="JWT access token")
    token_type: str = Field(default="bearer", description="Token type")
    expires_in: int = Field(..., description="Token expiration in seconds")
    refresh_token: Optional[str] = Field(None, description="Refresh token")

class TokenPayload(BaseModel):
    """JWT token payload."""
    sub: int = Field(..., description="User ID (subject)")
    username: str = Field(..., description="Username")
    roles: List[str] = Field(default_factory=list, description="User roles")
    exp: int = Field(..., description="Expiration timestamp")

# API Endpoints
"""
POST /api/v1/auth/login          Login and get token
POST /api/v1/auth/refresh        Refresh access token
POST /api/v1/auth/logout         Logout (invalidate token)

Authentication Header:
Authorization: Bearer 

Example:
Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...
"""

Role-Based Access Control (RBAC):

from enum import Enum

class UserRole(str, Enum):
    """User roles for RBAC."""
    ADMIN = "admin"
    MANAGER = "manager"
    USER = "user"
    GUEST = "guest"

class Permission(str, Enum):
    """Permissions for resources."""
    CREATE = "create"
    READ = "read"
    UPDATE = "update"
    DELETE = "delete"

# Permission Matrix
"""
Resource: Users
- ADMIN: create, read, update, delete
- MANAGER: read, update
- USER: read (own profile only)
- GUEST: read (public profiles only)

Endpoint Protection:
POST   /api/v1/users              Requires: admin
GET    /api/v1/users              Requires: admin, manager
GET    /api/v1/users/{user_id}    Requires: authenticated
PUT    /api/v1/users/{user_id}    Requires: admin OR owner
DELETE /api/v1/users/{user_id}    Requires: admin
"""

5. Rate Limiting

What it provides:

• Rate limit strategies
• Rate limit headers
• Error responses for exceeded limits
• Quota management

Rate Limit Design:

class RateLimitInfo(BaseModel):
    """Rate limit information."""
    limit: int = Field(..., description="Requests allowed per window")
    remaining: int = Field(..., description="Requests remaining")
    reset: int = Field(..., description="Unix timestamp when limit resets")
    window: int = Field(..., description="Time window in seconds")

# Rate Limit Headers
"""
X-RateLimit-Limit: 100
X-RateLimit-Remaining: 95
X-RateLimit-Reset: 1730203200
X-RateLimit-Window: 3600

Rate Limit Tiers:
- Anonymous: 10 requests/hour
- Authenticated: 100 requests/hour
- Premium: 1000 requests/hour
- Admin: Unlimited

Status Code: 429 Too Many Requests
Response:
{
  "error": "rate_limit_exceeded",
  "message": "Rate limit exceeded. Try again in 3600 seconds.",
  "limit": 100,
  "window": 3600,
  "reset": 1730203200
}
"""

6. API Versioning

What it provides:

• Versioning strategies
• Version migration paths
• Backward compatibility
• Deprecation notices

Versioning Strategies:

URL Path Versioning (Recommended):

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

Pros: Clear, explicit, easy to route
Cons: URLs change between versions

Header Versioning:

GET /api/users
Accept-Version: v1

GET /api/users
Accept-Version: v2

Pros: Clean URLs
Cons: Less visible, harder to test in browser

Query Parameter Versioning:

/api/users?version=1
/api/users?version=2

Pros: Flexible
Cons: Easy to forget, pollutes query params

Deprecation Example:

class DeprecationWarning(BaseModel):
    """Deprecation warning in response header."""
    deprecated: bool = True
    sunset_date: str = "2026-01-01"
    replacement_url: str = "/api/v2/users"
    documentation: str = "https://api.example.com/docs/migration/v1-to-v2"

# Response Headers for Deprecated Endpoint
"""
X-API-Deprecated: true
X-API-Sunset: 2026-01-01
X-API-Replacement: /api/v2/users
Link: ; rel="deprecation"
"""

Usage Guide

Step 1: Identify Resources

Requirements → Identify nouns → Define resources → Name endpoints

Step 2: Design Endpoints

Resources → HTTP methods → URL structure → Path/query params

Step 3: Define Schemas

Create schemas → Update schemas → Response schemas → Error schemas

Step 4: Plan Authentication

Identify auth needs → Choose strategy → Define tokens → Permission model

Step 5: Error Handling

Identify error cases → Standard format → Status codes → Error messages

Step 6: Rate Limiting

Define tiers → Set limits → Response headers → Exceeded handling

Step 7: Documentation

OpenAPI spec → Examples → Authentication guide → Error reference

Step 8: Versioning Strategy

Choose approach → Migration plan → Deprecation policy → Documentation

Best Practices

1. Use Proper HTTP Methods

• GET: Retrieve resources (idempotent, safe)
• POST: Create resources (non-idempotent)
• PUT: Full replace (idempotent)
• PATCH: Partial update (idempotent)
• DELETE: Remove resource (idempotent)

1. Consistent Naming

• Use plural nouns: /users, /posts
• Use kebab-case: /user-profiles
• Avoid verbs: /users not /getUsers

1. Status Codes

• 2xx: Success
• 4xx: Client errors
• 5xx: Server errors
• Be specific: 201 for created, 204 for no content

1. Pagination

• Always paginate lists
• Provide total count
• Include next/previous links (HATEOAS)

1. Filtering and Sorting

• Use query params: ?status=active&sort=created_at
• Document available filters
• Provide defaults

1. Security

• Always use HTTPS
• Validate all input
• Rate limit requests
• Use proper authentication

Resources

api-design-guide.md

Comprehensive API design guide including:

• REST principles and best practices
• GraphQL patterns (if applicable)
• Request/response schema design
• Error response formats
• Authentication/authorization patterns
• Rate limiting strategies
• API versioning approaches
• Documentation standards

function-design-patterns.md

Function contract design patterns:

• Function signature design
• Parameter patterns (required, optional, defaults)
• Return type patterns
• Error handling in functions
• Async function patterns
• Type hints for functions
• Docstring standards

Example Usage

Input (from Architecture Designer agent):

"Design REST API for a task management system with tasks, projects, users, and comments."

Output (api-designer skill provides):

# Complete API design with endpoints and schemas

from pydantic import BaseModel, Field
from typing import List, Optional
from datetime import datetime
from enum import Enum

# ==================== ENUMS ====================

class TaskStatus(str, Enum):
    """Task status options."""
    TODO = "todo"
    IN_PROGRESS = "in_progress"
    DONE = "done"

class TaskPriority(str, Enum):
    """Task priority levels."""
    LOW = "low"
    MEDIUM = "medium"
    HIGH = "high"

# ==================== REQUEST SCHEMAS ====================

class TaskCreate(BaseModel):
    """Create task request."""
    title: str = Field(..., min_length=1, max_length=200)
    description: Optional[str] = Field(None, max_length=2000)
    project_id: int = Field(..., gt=0)
    assignee_id: Optional[int] = Field(None, gt=0)
    priority: TaskPriority = TaskPriority.MEDIUM
    due_date: Optional[datetime] = None

class TaskUpdate(BaseModel):
    """Update task request (partial)."""
    title: Optional[str] = Field(None, min_length=1, max_length=200)
    description: Optional[str] = Field(None, max_length=2000)
    assignee_id: Optional[int] = Field(None, gt=0)
    status: Optional[TaskStatus] = None
    priority: Optional[TaskPriority] = None
    due_date: Optional[datetime] = None

class CommentCreate(BaseModel):
    """Create comment request."""
    content: str = Field(..., min_length=1, max_length=1000)

# ==================== RESPONSE SCHEMAS ====================

class TaskRe

…

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [matteocervelli](https://github.com/matteocervelli)
- **Source:** [matteocervelli/llms](https://github.com/matteocervelli/llms)
- **License:** MIT

Install and usage instructions live in the source repository linked above.