openapi-to-application-code

Generate a complete, production-ready application from an OpenAPI specification. Use when creating controllers, services, models, and configurations from an OpenAPI/Swagger spec.

13 stars

Best use case

openapi-to-application-code is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Generate a complete, production-ready application from an OpenAPI specification. Use when creating controllers, services, models, and configurations from an OpenAPI/Swagger spec.

Teams using openapi-to-application-code should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/openapi-to-application-code/SKILL.md --create-dirs "https://raw.githubusercontent.com/tae0y/python-project-template/main/.claude/skills.nouse/openapi-to-application-code/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/openapi-to-application-code/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How openapi-to-application-code Compares

Feature / Agentopenapi-to-application-codeStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Generate a complete, production-ready application from an OpenAPI specification. Use when creating controllers, services, models, and configurations from an OpenAPI/Swagger spec.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Generate Application from OpenAPI Spec

Your goal is to generate a complete, working application from an OpenAPI specification using the active framework's conventions and best practices.

## Input Requirements

1. **OpenAPI Specification**: Provide either:
   - A URL to the OpenAPI spec (e.g., `https://api.example.com/openapi.json`)
   - A local file path to the OpenAPI spec
   - The full OpenAPI specification content pasted directly

2. **Project Details** (if not in spec):
   - Project name and description
   - Target framework and version
   - Package/namespace naming conventions
   - Authentication method (if not specified in OpenAPI)

## Generation Process

### Step 1: Analyze the OpenAPI Specification
- Validate the OpenAPI spec for completeness and correctness
- Identify all endpoints, HTTP methods, request/response schemas
- Extract authentication requirements and security schemes
- Note data model relationships and constraints
- Flag any ambiguities or incomplete definitions

### Step 2: Design Application Architecture
- Plan directory structure appropriate for the framework
- Identify controller/handler grouping by resource or domain
- Design service layer organization for business logic
- Plan data models and entity relationships
- Design configuration and initialization strategy

### Step 3: Generate Application Code
- Create project structure with build/package configuration files
- Generate models/DTOs from OpenAPI schemas
- Generate controllers/handlers with route mappings
- Generate service layer with business logic
- Generate repository/data access layer if applicable
- Add error handling, validation, and logging
- Generate configuration and startup code

### Step 4: Add Supporting Files
- Generate appropriate unit tests for services and controllers
- Create README with setup and running instructions
- Add .localdocs and environment configuration templates
- Generate API documentation files
- Create example requests/integration tests

## Output Structure

The generated application will include:

```
project-name/
├── README.md
├── [build-config]
├── src/
│   ├── main/
│   │   ├── [language]/
│   │   │   ├── controllers/
│   │   │   ├── services/
│   │   │   ├── models/
│   │   │   ├── repositories/
│   │   │   └── config/
│   │   └── resources/
│   └── test/
│       ├── [language]/
│       │   ├── controllers/
│       │   └── services/
│       └── resources/
├── .localdocs
├── .env.example
└── docker-compose.yml
```

## Best Practices Applied

- **Framework Conventions**: Follows framework-specific naming, structure, and patterns
- **Separation of Concerns**: Clear layers with controllers, services, and repositories
- **Error Handling**: Comprehensive error handling with meaningful responses
- **Validation**: Input validation and schema validation throughout
- **Logging**: Structured logging for debugging and monitoring
- **Testing**: Unit tests for services and controllers
- **Documentation**: Inline code documentation and setup instructions
- **Security**: Implements authentication/authorization from OpenAPI spec
- **Scalability**: Design patterns support growth and maintenance

## Questions to Ask if Needed

- Should the application include database/ORM setup, or just in-memory/mock data?
- Do you want Docker configuration for containerization?
- Should authentication be JWT, OAuth2, API keys, or basic auth?
- Do you need integration tests or just unit tests?
- Any specific database technology preferences?
- Should the API include pagination, filtering, and sorting examples?

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