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.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionapi-designerExecute the skills CLI command in your project's root directory to begin installation:
Fetches api-designer from 404kidwiz/claude-supercode-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate api-designer. Access via /api-designer in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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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.
Invoke this skill when:
Do NOT invoke when:
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'
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
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate 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
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Frontendsame categoryReviews
4.6★★★★★52 reviews- AAisha Sharma★★★★★Dec 24, 2024
I recommend api-designer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- DDhruvi Jain★★★★★Dec 20, 2024
Solid pick for teams standardizing on skills: api-designer is focused, and the summary matches what you get after install.
- ZZaid Reddy★★★★★Dec 16, 2024
Solid pick for teams standardizing on skills: api-designer is focused, and the summary matches what you get after install.
- NNia Khanna★★★★★Nov 15, 2024
api-designer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- OOshnikdeep★★★★★Nov 11, 2024
We added api-designer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ZZaid Huang★★★★★Nov 7, 2024
We added api-designer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- AAmelia Abbas★★★★★Nov 7, 2024
api-designer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- AAisha Reddy★★★★★Oct 26, 2024
api-designer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- AAmelia Li★★★★★Oct 26, 2024
We added api-designer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ZZaid 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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