openapi-to-application-code
- Use it when:
- You have an OpenAPI spec, as a URL, a file or pasted text, and want a working app built from it.
- It does:
- Validates the spec, plans the architecture, then generates models and DTOs, route handlers, services, data access, error handling, validation, logging and unit tests.
- You get:
- A project folder with build files, src and test trees, a README, .gitignore, .env.example and, if it applies, docker-compose.yml.
- Works with:
- Any framework: it follows the conventions of the one in use, and asks for the framework and version when the spec doesn't say.
- May ask:
- Whether you want a database or mock data, Docker, which auth scheme, integration tests, and pagination or filtering examples.
TL;DR
A four-step generator. It first checks the spec for completeness and correctness, lists every endpoint, method, schema and security scheme, and flags ambiguous or incomplete definitions. It then plans the folders, groups controllers or handlers by resource or domain, and lays out the service layer, data models and configuration. Code generation follows: build configuration such as pom.xml, build.gradle or package.json, models from the spec's schemas, handlers with route mappings, services for the business logic, a repository layer where one applies, and startup code, with authentication taken from the spec. Last come unit tests for services and controllers, example requests or integration tests, API documentation and a README with setup and run instructions. If the spec leaves out the project name, framework, naming conventions or auth method, it asks for them. It ends by listing the next steps: review the code, install dependencies, configure environment variables and database connections, run the tests and start the server.
Summarizes the skill at 797337f.
npx skills add https://github.com/github/awesome-copilot --skill openapi-to-application-code skills.sh pageSource on GitHubAll skills from github/awesome-copilot
- Total Downloads
- 9,500 on skills.sh, Nov 9, 2026
- Repo stars
- 40,943 github/awesome-copilot
- First seen
- Feb 25, 2026 on skills.sh
Weekly values
| Week to | Installs |
|---|---|
| Sep 21 | 39 |
| Sep 28 | 32 |
| Oct 5 | 36 |
| Oct 12 | 20 |
| Oct 19 | 24 |
| Oct 26 | 18 |
| Nov 2 | 27 |
| Nov 9 | 15 |
| Category |
Test-first work, implementation from specs, git hygiene and scope control. Everything for building software: planning, coding, debugging, design, frameworks, cloud, agents and skills. |
|---|---|
| Type |
A multi-step process the agent follows: interview, debug, run a TDD loop, review. |
| Effect |
Its own steps create or change files, git state or local tools. |
| Needs |
Instructions only. Works in any agent that supports skills. |
| Publisher |
A verified publisher on skills.sh, or the company or maintainer behind the product the skill operates. |
| Topics | |
| Stack |
SKILL.md
From github/awesome-copilot at 797337f. Checked daily, last changed Nov 6, 2026.
Frontmatter
name: openapi-to-application-code
description: 'Generate a complete, production-ready application from an OpenAPI specification'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
-
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
- A URL to the OpenAPI spec (e.g.,
-
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:
- Review the generated code structure and make customizations as needed
- Install dependencies according to framework requirements
- Configure environment variables and database connections
- Run tests to verify generated code
- Start the development server
- 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?