api-designer

404kidwiz/claude-supercode-skills · updated Apr 8, 2026

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$npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill api-designer
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summary

Provides expert REST and GraphQL API architecture expertise specializing in OpenAPI 3.1 specifications, API versioning strategies, pagination patterns, and hypermedia-driven design (HATEOAS). Focuses on building scalable, well-documented, developer-friendly APIs with proper error handling and standardization.

skill.md

API Designer

Purpose

Provides expert REST and GraphQL API architecture expertise specializing in OpenAPI 3.1 specifications, API versioning strategies, pagination patterns, and hypermedia-driven design (HATEOAS). Focuses on building scalable, well-documented, developer-friendly APIs with proper error handling and standardization.

When to Use

  • Designing RESTful or GraphQL APIs from requirements
  • Creating OpenAPI 3.1 specifications for API documentation
  • Implementing API versioning strategies (URL, header, content negotiation)
  • Designing pagination, filtering, and sorting patterns for large datasets
  • Building HATEOAS-compliant APIs (hypermedia-driven)
  • Standardizing error responses and status codes across services
  • Designing API authentication and authorization patterns

Quick Start

Invoke this skill when:

  • Designing RESTful or GraphQL APIs from requirements
  • Creating OpenAPI 3.1 specifications for API documentation
  • Implementing API versioning strategies (URL, header, content negotiation)
  • Designing pagination, filtering, and sorting patterns for large datasets
  • Building HATEOAS-compliant APIs (hypermedia-driven)
  • Standardizing error responses and status codes across services

Do NOT invoke when:

  • Only implementing pre-designed API endpoints (use backend-developer)
  • Database schema design without API context (use database-administrator)
  • Frontend API integration (use frontend-developer)
  • API security implementation (use security-engineer for authentication/authorization)
  • API performance optimization (use performance-engineer)


Core Workflows

Workflow 1: Design RESTful API with OpenAPI 3.1

Use case: E-commerce platform needs product catalog API

Step 1: Resource Modeling

# Resources identified:
# - Products (CRUD)
# - Categories (read-only, hierarchical)
# - Reviews (nested under products)
# - Inventory (separate resource, linked to products)

# URL Structure Design:
GET    /v1/products              # List products (paginated)
POST   /v1/products              # Create product
GET    /v1/products/{id}         # Get product details
PUT    /v1/products/{id}         # Update product (full replacement)
PATCH  /v1/products/{id}         # Partial update
DELETE /v1/products/{id}         # Delete product

GET    /v1/products/{id}/reviews        # Get reviews for product
POST   /v1/products/{id}/reviews        # Create review
GET    /v1/products/{id}/reviews/{reviewId}  # Get specific review

GET    /v1/categories            # List categories
GET    /v1/categories/{id}       # Get category + subcategories

# Query parameters (filtering, pagination, sorting):
GET /v1/products?category=electronics&min_price=100&max_price=500&sort=price:asc&limit=20&cursor=abc123

Step 2: OpenAPI 3.1 Specification

# openapi.yaml
openapi: 3.1.0
info:
  title: E-commerce Product API
  version: 1.0.0
  description: RESTful API for product catalog management
  contact:
    name: API Support
    email: [email protected]

servers:
  - url: https://api.ecommerce.com/v1
    description: Production server
  - url: https://staging-api.ecommerce.com/v1
    description: Staging server

paths:
  /products:
    get:
      summary: List products
      operationId: listProducts
      tags: [Products]
      parameters:
        - name: category
          in: query
          description: Filter by category slug
          schema:
            type: string
            example: electronics
        - name: min_price
          in: query
          description: Minimum price filter
          schema:
            type: number
            format: float
            minimum: 0
        - name: max_price
          in: query
          description: Maximum price filter
          schema:
            type: number
            format: float
            minimum: 0
        - name: sort
          in: query
          description: Sort order (field:direction)
          schema:
            type: string
            enum: [price:asc, price:desc, created_at:asc, created_at:desc]
            default: created_at:desc
        - name: limit
          in: query
          description: Number of results per page
          schema:
            type: integer
            minimum: 1
            maximum: 100
            default: 20
        - name: cursor
          in: query
          description: Pagination cursor (opaque token)
          schema:
            type: string
      responses:
        '200':
          description: Successful response
          content:
            application/json:
              schema:
                type: object
                required: [data, meta, links]
                properties:
                  data:
                    type: array
                    items:
                      $ref: '#/components/schemas/Product'
                  meta:
                    type: object
                    properties:
                      total_count:
                        type: integer
                        description: Total number of products matching filters
                      has_more:
                        type: boolean
                        description: Whether more results exist
                  links:
                    type: object
                    properties:
                      self:
                        type: string
                        format: uri
                      next:
                        type: string
                        format: uri
                        nullable: true
                      prev:
                        type: string
                        format: uri
                        nullable: true
              examples:
                success:
                  value:
                    data:
                      - id: "prod_123"
                        name: "Wireless Headphones"
                        description: "Premium noise-cancelling headphones"
                        price: 299.99
                        currency: "USD"
                        category:
                          id: "cat_1"
                          name: "Electronics"
                        created_at: "2024-01-15T10:30:00Z"
                    meta:
                      total_count: 1523
                      has_more: true
                    links:
                      self: "/v1/products?limit=20"
                      next: "/v1/products?limit=20&cursor=eyJpZCI6InByb2RfMTIzIn0="
                      prev: null
        '400':
          $ref: '#/components/responses/BadRequest'
how to use api-designer

How to use api-designer on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add api-designer
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill api-designer

The skills CLI fetches api-designer from GitHub repository 404kidwiz/claude-supercode-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/api-designer

Reload or restart Cursor to activate api-designer. Access the skill through slash commands (e.g., /api-designer) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.652 reviews
  • Aisha Sharma· Dec 24, 2024

    I recommend api-designer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Dhruvi Jain· Dec 20, 2024

    Solid pick for teams standardizing on skills: api-designer is focused, and the summary matches what you get after install.

  • Zaid Reddy· Dec 16, 2024

    Solid pick for teams standardizing on skills: api-designer is focused, and the summary matches what you get after install.

  • Nia Khanna· Nov 15, 2024

    api-designer reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Oshnikdeep· Nov 11, 2024

    We added api-designer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Zaid Huang· Nov 7, 2024

    We added api-designer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Amelia Abbas· Nov 7, 2024

    api-designer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aisha Reddy· Oct 26, 2024

    api-designer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Amelia Li· Oct 26, 2024

    We added api-designer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Zaid Choi· Oct 6, 2024

    Registry listing for api-designer matched our evaluation — installs cleanly and behaves as described in the markdown.

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