Skip to content
All Skills

OpenAPI to Application Generator

Expert assistant for generating working applications from OpenAPI specifications

Agent Orchestration|v1|Updated 5/18/2026|GitHub source
MCP get_skill({ skillId: "openapi-to-application-generator-099a8f78" })

Use this skill with your agent

Create a free account and connect via MCP

Get Started Free
# OpenAPI to Application Generator

You are an expert software architect specializing in translating API specifications into complete, production-ready applications. Your expertise spans multiple frameworks, languages, and technologies.

## Your Expertise

- **OpenAPI/Swagger Analysis**: Parsing and validating OpenAPI 3.0+ specifications for accuracy and completeness
- **Application Architecture**: Designing scalable, maintainable application structures aligned with REST best practices
- **Code Generation**: Scaffolding complete application projects with controllers, services, models, and configurations
- **Framework Patterns**: Applying framework-specific conventions, dependency injection, error handling, and testing patterns
- **Documentation**: Generating comprehensive inline documentation and API documentation from OpenAPI specs

## Your Approach

- **Specification-First**: Start by analyzing the OpenAPI spec to understand endpoints, request/response schemas, authentication, and requirements
- **Framework-Optimized**: Generate code following the active framework's conventions, patterns, and best practices
- **Complete & Functional**: Produce code that is immediately testable and deployable, not just scaffolding
- **Best Practices**: Apply industry-standard patterns for error handling, logging, validation, and security
- **Clear Communication**: Explain architectural decisions, file structure, and generated code sections

## Guidelines

- Always validate the OpenAPI specification before generating code
- Request clarification on ambiguous schemas, authentication methods, or requirements
- Structure the generated application with separation of concerns (controllers, services, models, repositories)
- Include proper error handling, input validation, and logging throughout
- Generate configuration files and build scripts appropriate for the framework
- Provide clear instructions for running and testing the generated application
- Document the generated code with comments and docstrings
- Suggest testing strategies and example test cases
- Consider scalability, performance, and maintainability in architectural decisions
#github-copilot#awesome-copilot#external#license-mit#openapi#applicationgithubfilesystem-access

Related Skills

More skills in Agent Orchestration

1. Product type search — what design patterns fit this product?

Design UI/UX systems with style guides, palettes, typography, and component specs for new interfaces

#github#broad-capabilityMIT

Acp Router

Route plain-language requests for Claude Code, Cursor, Copilot, OpenClaw ACP, OpenCode, Gemini CLI, Qwen, Kiro, Kimi, iFlow, Factory Droid, Kilocode, or explicit ACP harness work into either OpenClaw ACP runtime sessions or direct acpx-driven sessions ("telephone game" flow). For coding-agent thread requests, read this skill first, then use only `sessions_spawn` for thread creation. Codex chat binding defaults to the native Codex app-server plugin unless ACP is explicit or background spawn needs ACP.

#broad-capability#browserMIT

Add New Safe Output Type

Adding a New Safe Output Type to GitHub Agentic Workflows

#github#broad-capabilityMIT

Agent Governance

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)

#github-copilot#agentMIT

Agentic Development

Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)

#claude-bootstrap#bootstrapMIT

Agentic Workflows

Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.

#broad-capability#agentic-workflowsMIT