openapi-to-application-code
Generate a complete, production-ready application from an OpenAPI specification
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
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/openapi-to-application-code/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How openapi-to-application-code Compares
| Feature / Agent | openapi-to-application-code | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate a complete, production-ready application from an OpenAPI specification
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.
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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 .gitignore and environment configuration templates - Generate API documentation files - Create example requests/integration tests ## Output Structure The generated application will include: ``` project-name/ ├── README.md # Setup and usage instructions ├── [build-config] # Framework-specific build files (pom.xml, build.gradle, package.json, etc.) ├── src/ │ ├── main/ │ │ ├── [language]/ │ │ │ ├── controllers/ # HTTP endpoint handlers │ │ │ ├── services/ # Business logic │ │ │ ├── models/ # Data models and DTOs │ │ │ ├── repositories/ # Data access (if applicable) │ │ │ └── config/ # Application configuration │ │ └── resources/ # Configuration files │ └── test/ │ ├── [language]/ │ │ ├── controllers/ # Controller tests │ │ └── services/ # Service tests │ └── resources/ # Test configuration ├── .gitignore ├── .env.example # Environment variables template └── docker-compose.yml # Optional: Docker setup (if applicable) ``` ## 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 ## Next Steps After generation: 1. Review the generated code structure and make customizations as needed 2. Install dependencies according to framework requirements 3. Configure environment variables and database connections 4. Run tests to verify generated code 5. Start the development server 6. Test endpoints using the provided examples ## 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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