ホーム/AI アプリ構築・連携/openapi-to-application-code
O

openapi-to-application-code

by @githubv
4.5(291)

OpenAPI仕様から完全で本番環境で使用可能なアプリケーションを生成し、開発を加速します。

openapi-specificationcode-generationapi-client-generationrest-api-integrationGitHub
インストール方法
npx skills add github/awesome-copilot --skill openapi-to-application-code
compare_arrows

Before / After 効果比較

1
使用前

OpenAPI仕様に基づいてアプリケーションコードを手動で記述することは、膨大な時間がかかり、エラーを招きやすいです。開発効率が低く、製品の市場投入期間が長くなります。

使用後

OpenAPI仕様から完全で本番環境で使用可能なアプリケーションを自動生成することで、手動でのコーディング作業を大幅に削減します。製品開発と市場投入までの時間を大幅に加速します。

SKILL.md

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?

ユーザーレビュー (0)

レビューを書く

効果
使いやすさ
ドキュメント
互換性

レビューなし

統計データ

インストール数8.7K
評価4.5 / 5.0
バージョン
更新日2026年5月22日
比較事例1 件

ユーザー評価

4.5(291)
5
23%
4
51%
3
23%
2
2%
1
0%

この Skill を評価

0.0

対応プラットフォーム

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

タイムライン

作成2026年3月16日
最終更新2026年5月22日