api-designer

jeffallan/claude-skills · updated May 11, 2026

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

REST and GraphQL API design with comprehensive OpenAPI 3.1 specifications and architectural guidance.

  • Covers resource modeling, endpoint design, HTTP method semantics, and URI patterns with strict REST principles
  • Includes OpenAPI 3.1 templates, RFC 7807 error response standards, and validation workflows using Redocly and Prism mock servers
  • Provides reference guides for versioning strategies, pagination patterns (cursor, offset, keyset), and backward-compatibility planning
  • Enforces
skill.md

API Designer

Senior API architect specializing in REST and GraphQL APIs with comprehensive OpenAPI 3.1 specifications.

Core Workflow

  1. Analyze domain — Understand business requirements, data models, and client needs
  2. Model resources — Identify resources, relationships, and operations; sketch entity diagram before writing any spec
  3. Design endpoints — Define URI patterns, HTTP methods, request/response schemas
  4. Specify contract — Create OpenAPI 3.1 spec; validate before proceeding: npx @redocly/cli lint openapi.yaml
  5. Mock and verify — Spin up a mock server to test contracts: npx @stoplight/prism-cli mock openapi.yaml
  6. Plan evolution — Design versioning, deprecation, and backward-compatibility strategy

Reference Guide

Load detailed guidance based on context:

Topic Reference Load When
REST Patterns references/rest-patterns.md Resource design, HTTP methods, HATEOAS
Versioning references/versioning.md API versions, deprecation, breaking changes
Pagination references/pagination.md Cursor, offset, keyset pagination
Error Handling references/error-handling.md Error responses, RFC 7807, status codes
OpenAPI references/openapi.md OpenAPI 3.1, documentation, code generation

Constraints

MUST DO

  • Follow REST principles (resource-oriented, proper HTTP methods)
  • Use consistent naming conventions (snake_case or camelCase — pick one, apply everywhere)
  • Include comprehensive OpenAPI 3.1 specification
  • Design proper error responses with actionable messages (RFC 7807)
  • Implement pagination for all collection endpoints
  • Version APIs with clear deprecation policies
  • Document authentication and authorization
  • Provide request/response examples

MUST NOT DO

  • Use verbs in resource URIs (use /users/{id}, not /getUser/{id})
  • Return inconsistent response structures
  • Skip error code documentation
  • Ignore HTTP status code semantics
  • Design APIs without a versioning strategy
  • Expose implementation details in the API surface
  • Create breaking changes without a migration path
  • Omit rate limiting considerations

Templates

OpenAPI 3.1 Resource Endpoint (copy-paste starter)

openapi: "3.1.0"
info:
  title: Example API
  version: "1.1.0"
paths:
  /users:
    get:
      summary: List users
      operationId: listUsers
      tags: [Users]
      parameters:
        - name: cursor
          in: query
          schema: { type: string }
          description: Opaque cursor for pagination
        - name: limit
          in: query
          schema: { type: integer, default: 20, maximum: 100 }
      responses:
        "200":
          description: Paginated list of users
          content:
            application/json:
              schema:
                type: object
                required: [data, pagination]
                properties:
                  data:
                    type: array
                    items: { $ref: "#/components/schemas/User" }
                  pagination:
                    $ref: "#/components/schemas/CursorPage"
        "400": { $ref: "#/components/responses/BadRequest" }
        "401": { $ref: "#/components/responses/Unauthorized" }
        "429": { $ref: "#/components/responses/TooManyRequests" }
  /users/{id}:
    get:
      summary: Get a user
      operationId: getUser
      tags: [Users]
      parameters:
        - name: id
          in: path
          required: true
          schema: { type: string, format: uuid }
      responses:
        "200":
          description: User found
          content:
            application/json:
              schema: { $ref: "#/components/schemas/User" }
        "404": { $ref: "#/components/responses/NotFound" }

components:
  schemas:
    User:
      type: object
      required: [id, email, created_at]
      properties:
        id:    { type: string, format: uuid, readOnly: true }
        email: { type: string, format: email }
        name:  { type: string }
        created_at: { type: string, format: date-time, readOnly: true }

    CursorPage:
      type: object
      required: [next_cursor, has_more]
      properties:
        next_cursor: { type: string, nullable: true }
        has_more:    { type: boolean }

    Problem:                       # RFC 7807 Problem Details
      type: object
      required: [type, title, status]
      properties:
        type:     { type: string, format: uri, example: "https://api.example.com/errors/validation-error" }
        title:    { type: string, example: "Validation Error" }
        status:   { type: integer, example: 400 }
        detail:   { type: string, example: "The 'email' field must be a valid email address." }
        instance: { type: string, format: uri, example: "/users/req-abc123" }

  responses:
    BadRequest:
      description: Invalid request parameters
      content:
        application/problem+json:
          schema: { $ref: "#/components/schemas/Problem" }
    Unauthorized:
      description: Missing or invalid authentication
      content:
        application/problem+json:
          schema: { $ref: "#/components/schemas/Problem" }
    NotFound:
      description: Resource not found
      content:
        application/problem+json:
          schema: { $ref: "#/components/schemas/Problem" }
    TooManyRequests:
      description: Rate limit exceeded
      headers:
        Retry-After: { schema
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/jeffallan/claude-skills --skill api-designer

The skills CLI fetches api-designer from GitHub repository jeffallan/claude-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

Submit your Claude Code skill and start earning

GET_STARTED →

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

4.672 reviews
  • Hiroshi Khanna· Dec 24, 2024

    Useful defaults in api-designer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Pratham Ware· Dec 16, 2024

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

  • Kwame Robinson· Dec 8, 2024

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

  • Sofia Anderson· Dec 8, 2024

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

  • Sofia Jackson· Dec 4, 2024

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

  • Ama Haddad· Nov 27, 2024

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

  • Carlos Rahman· Nov 27, 2024

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

  • Ira Dixit· Nov 23, 2024

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

  • Ira Haddad· Nov 15, 2024

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

  • Sakshi Patil· Nov 7, 2024

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

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