本文へ移動
cccskills
無料GitHub で公開

openapi-to-application-code

Generate a complete, production-ready application from an OpenAPI specification

インストール方法を見る

含まれるファイル(1)

  • SKILL.md4.6 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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?

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Primary accessibility skill for VS Code. REQUIRED for new feature and contribution work, and also applies to updates of existing UI. Covers accessibility help dialogs, accessible views, verbosity settings, signals, ARIA announcements, keyboard navigation, and ARIA labels/roles.

日本語の概要は準備中です。原文の説明を表示しています。

jcasnellie69/homelab-config22026年10月11日 更新

Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.

日本語の概要は準備中です。原文の説明を表示しています。

jcasnellie69/homelab-config22026年10月11日 更新

Act on user feedback attached to the current session. Use when the user submits feedback on the session's changes via the Submit Feedback button.

日本語の概要は準備中です。原文の説明を表示しています。

jcasnellie69/homelab-config22026年10月11日 更新

Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.

日本語の概要は準備中です。原文の説明を表示しています。

jcasnellie69/homelab-config22026年10月11日 更新

Use when adding, modifying, or reviewing VS Code configuration policies. Covers the full policy lifecycle from registration to export to platform-specific artifacts. Run on ANY change that adds a `policy:` field to a configuration property.

日本語の概要は準備中です。原文の説明を表示しています。

jcasnellie69/homelab-config22026年10月11日 更新

Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)

日本語の概要は準備中です。原文の説明を表示しています。

jcasnellie69/homelab-config22026年10月11日 更新

jcasnellie69 のスキルをすべて見る

このスキルの問題を報告する