openapi-spec-generation

wshobson/agents · updated Apr 8, 2026

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$npx skills add https://github.com/wshobson/agents --skill openapi-spec-generation
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summary

Generate, maintain, and validate OpenAPI 3.1 specifications for RESTful APIs.

  • Supports design-first, code-first, and hybrid approaches with templates for complete specs, FastAPI/Python generation, and TypeScript/Express decorators
  • Includes reusable components for schemas, parameters, responses, and security schemes to minimize duplication across endpoints
  • Provides Spectral and Redocly validation rules to enforce naming conventions, security requirements, and documentation standards \
skill.md

OpenAPI Spec Generation

Comprehensive patterns for creating, maintaining, and validating OpenAPI 3.1 specifications for RESTful APIs.

When to Use This Skill

  • Creating API documentation from scratch
  • Generating OpenAPI specs from existing code
  • Designing API contracts (design-first approach)
  • Validating API implementations against specs
  • Generating client SDKs from specs
  • Setting up API documentation portals

Core Concepts

1. OpenAPI 3.1 Structure

openapi: 3.1.0
info:
  title: API Title
  version: 1.0.0
servers:
  - url: https://api.example.com/v1
paths:
  /resources:
    get: ...
components:
  schemas: ...
  securitySchemes: ...

2. Design Approaches

Approach Description Best For
Design-First Write spec before code New APIs, contracts
Code-First Generate spec from code Existing APIs
Hybrid Annotate code, generate spec Evolving APIs

Templates

Template 1: Complete API Specification

openapi: 3.1.0
info:
  title: User Management API
  description: |
    API for managing users and their profiles.

    ## Authentication
    All endpoints require Bearer token authentication.

    ## Rate Limiting
    - 1000 requests per minute for standard tier
    - 10000 requests per minute for enterprise tier
  version: 2.0.0
  contact:
    name: API Support
    email: api-[email protected]
    url: https://docs.example.com
  license:
    name: MIT
    url: https://opensource.org/licenses/MIT

servers:
  - url: https://api.example.com/v2
    description: Production
  - url: https://staging-api.example.com/v2
    description: Staging
  - url: http://localhost:3000/v2
    description: Local development

tags:
  - name: Users
    description: User management operations
  - name: Profiles
    description: User profile operations
  - name: Admin
    description: Administrative operations

paths:
  /users:
    get:
      operationId: listUsers
      summary: List all users
      description: Returns a paginated list of users with optional filtering.
      tags:
        - Users
      parameters:
        - $ref: "#/components/parameters/PageParam"
        - $ref: "#/components/parameters/LimitParam"
        - name: status
          in: query
          description: Filter by user status
          schema:
            $ref: "#/components/schemas/UserStatus"
        - name: search
          in: query
          description: Search by name or email
          schema:
            type: string
            minLength: 2
            maxLength: 100
      responses:
        "200":
          description: Successful response
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UserListResponse"
              examples:
                default:
                  $ref: "#/components/examples/UserListExample"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "429":
          $ref: "#/components/responses/RateLimited"
      security:
        - bearerAuth: []

    post:
      operationId: createUser
      summary: Create a new user
      description: Creates a new user account and sends welcome email.
      tags:
        - Users
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/CreateUserRequest"
            examples:
              standard:
                summary: Standard user
                value:
                  email: [email protected]
                  name: John Doe
                  role: user
              admin:
                summary: Admin user
                value:
                  email: [email protected]
                  name: Admin User
                  role: admin
      responses:
        "201":
          description: User created successfully
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/User"
          headers:
            Location:
              description: URL of created user
              schema:
                type: string
                format: uri
        "400":
          $ref: "#/components/responses/BadRequest"
        "409":
          description: Email already exists
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Error"
      security:
        - bearerAuth: []

  /users/{userId}:
    parameters:
      - $ref: "#/components/parameters/UserIdParam"

    get:
      operationId: getUser
      summary: Get user by ID
      tags:
        - Users
      responses:
        "200":
          description: Successful response
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/User"
        "404":
          $ref: "#/components/responses/NotFound"
      security:
        - bearerAuth: []

    patch:
      operationId
how to use openapi-spec-generation

How to use openapi-spec-generation 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 openapi-spec-generation
2

Execute installation command

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

$npx skills add https://github.com/wshobson/agents --skill openapi-spec-generation

The skills CLI fetches openapi-spec-generation from GitHub repository wshobson/agents 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/openapi-spec-generation

Reload or restart Cursor to activate openapi-spec-generation. Access the skill through slash commands (e.g., /openapi-spec-generation) 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

4.666 reviews
  • Kiara Jackson· Dec 28, 2024

    openapi-spec-generation reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Mateo Ghosh· Dec 24, 2024

    openapi-spec-generation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Dhruvi Jain· Dec 16, 2024

    Keeps context tight: openapi-spec-generation is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Noah Okafor· Nov 19, 2024

    openapi-spec-generation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sofia Mehta· Nov 15, 2024

    openapi-spec-generation reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Oshnikdeep· Nov 7, 2024

    Registry listing for openapi-spec-generation matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ganesh Mohane· Oct 26, 2024

    openapi-spec-generation reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Valentina Desai· Oct 10, 2024

    Keeps context tight: openapi-spec-generation is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Anaya Kim· Oct 6, 2024

    Registry listing for openapi-spec-generation matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Olivia Park· Sep 25, 2024

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

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