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api-design

api-designSafety 90Repository

Use when designing REST or RPC endpoint contracts with request/response types and error handling. Covers endpoint specification, TypeScript type definitions, authentication requirements, pagination, and caching strategies. Do not use for database schema changes (use schema-design) or codebase analysis (use codebase-context).

1 stars
1.2k downloads
Updated 2/22/2026

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SKILL.md

API Design

Purpose

Design REST/RPC endpoint contracts with request/response types, error handling, and versioning strategy. Produces TypeScript type definitions and endpoint documentation that serve as the contract between frontend and backend.

Scope Constraints

  • Produces endpoint contracts and type definitions only; does not implement route handlers.
  • Covers endpoint specification, request/response types, error contracts, pagination, and caching.
  • Does not design database schemas or run codebase analysis — hand off to schema-design or codebase-context.

Inputs

  • Feature requirements (from interview/idea phase)
  • Schema design output (entities, relationships — drives endpoint shape)
  • Existing endpoints (current route handlers, naming conventions)
  • Authentication/authorization model (who can call what)

Input Sanitization

No user-provided values are used in commands or file paths. All inputs are treated as read-only analysis targets.

Procedure

Progress Checklist

  • Step 1: Inventory Existing Endpoints
  • Step 2: Identify New Endpoints Needed
  • Step 3: Define Endpoint Contracts
  • Step 4: Design Type Definitions
  • Step 5: Plan Authentication/Authorization
  • Step 6: Define Error Contract
  • Step 7: Consider Pagination and Filtering
  • Step 8: Document Rate Limits and Caching

Step 1: Inventory Existing Endpoints

Read current route handlers and list all existing paths, HTTP methods, request/response shapes, and auth requirements. Note naming conventions and patterns in use.

Step 2: Identify New Endpoints Needed

From the feature requirements and schema design output, determine what operations the frontend needs. Group by resource and map to CRUD operations where applicable.

Step 3: Define Endpoint Contracts

For each endpoint, specify:

  • Method: GET, POST, PUT, PATCH, DELETE
  • Path: Following existing naming conventions
  • Request: Body schema, URL params, query params
  • Response: Success shape (with HTTP status), error shape
  • Auth: Required role/permission, or public

Step 4: Design Type Definitions

Write TypeScript interfaces for:

  • Request body types
  • Response types (success and error)
  • Shared types (enums, union types, reusable shapes)
  • Zod schemas for runtime validation where applicable

Step 5: Plan Authentication/Authorization

For each endpoint, define:

  • Whether authentication is required
  • What role or permission is needed
  • How authorization is enforced (middleware, RLS, inline check)
  • Service-to-service auth if applicable

Step 6: Define Error Contract

Design a consistent error response shape:

  • Error code enum (application-level codes, not just HTTP status)
  • Error response structure (code, message, details)
  • HTTP status mapping (which app errors map to which HTTP statuses)
  • Validation error format (field-level errors for form submissions)

Step 7: Consider Pagination and Filtering

For list endpoints:

  • Pagination strategy (cursor-based preferred for real-time data, offset for static)
  • Filter parameters (query string format, supported operators)
  • Sort parameters (field + direction)
  • Default and maximum page sizes

Step 8: Document Rate Limits and Caching

If applicable:

  • Rate limit tiers per endpoint or endpoint group
  • Cache-Control headers for GET endpoints
  • ETag/If-None-Match for conditional requests
  • Stale-while-revalidate strategies

Compaction resilience: If context was lost during a long session, re-read the Inputs section to reconstruct what system is being analyzed, check the Progress Checklist for completed steps, then resume from the earliest incomplete step.

Handoff

  • If the API design reveals missing or incomplete database entities, recommend loading architect/schema-design.
  • If the API exposes sensitive data or requires fine-grained access control, recommend loading guardian/data-classification.

Output Format

# API Design: [Feature Name]

## Endpoint Overview

| Method | Path | Auth | Description |
|--------|------|------|-------------|
| GET    | /api/... | authenticated | ... |
| POST   | /api/... | authenticated | ... |

## Type Definitions

```typescript
// Shared types
interface PaginatedResponse<T> {
  data: T[];
  cursor: string | null;
  hasMore: boolean;
}

// Request types
interface CreateFooRequest {
  name: string;
  // ...
}

// Response types
interface FooResponse {
  id: string;
  name: string;
  createdAt: string;
  // ...
}

Error Contract

enum ErrorCode {
  VALIDATION_ERROR = 'VALIDATION_ERROR',
  NOT_FOUND = 'NOT_FOUND',
  UNAUTHORIZED = 'UNAUTHORIZED',
  FORBIDDEN = 'FORBIDDEN',
  // ...
}

interface ApiError {
  code: ErrorCode;
  message: string;
  details?: Record<string, string[]>; // field-level errors
}
Error CodeHTTP StatusWhen
VALIDATION_ERROR400Request body fails validation
NOT_FOUND404Resource does not exist
UNAUTHORIZED401Missing or invalid auth
FORBIDDEN403Authenticated but lacking permission

Endpoint Details

[METHOD] [path]

Auth: [requirement]

Request:

// params / body / query

Response (200):

// success shape

Errors:

  • 400: [when]
  • 404: [when]

Example:

curl -X POST /api/foo \
  -H "Authorization: Bearer ..." \
  -d '{"name": "bar"}'

Pagination Strategy

  • Method: [cursor-based / offset]
  • Default page size: [N]
  • Max page size: [N]

Caching Strategy

Endpoint PatternCache-ControlNotes
GET /api/.........

## Quality Checks

- [ ] Every endpoint has defined auth requirements
- [ ] Error cases are enumerated for each endpoint
- [ ] Request and response types are fully specified (no `any` types)
- [ ] Naming follows existing project conventions (REST or RPC, plural vs singular)
- [ ] List endpoints include pagination strategy
- [ ] Shared types are extracted (no duplication across endpoints)
- [ ] Error contract is consistent across all endpoints
- [ ] Examples include realistic request/response payloads

## Evolution Notes
<!-- Observations appended after each use -->

Install

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Requires askill CLI v1.0+

AI Quality Score

88/100Analyzed 2/24/2026

High-quality API design skill with detailed 8-step procedure, TypeScript type definitions, error contracts, pagination/caching strategies, and quality checklists. Reference-style content that is well-structured and reusable. Has clear trigger words, scope constraints (what it does/doesn't cover), and output templates. Path suggests department-specific internal skill but content is broadly applicable. Scores high on actionability and completeness."

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Metadata

Licenseunknown
Version-
Updated2/22/2026
Publisherdtsong

Tags

apidatabasesecurity