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Official agent skill

Openapi To Application Code

by github in github/awesome-copilot

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

OfficialMITAuto-check passedBackend & APIs

Install Openapi To Application Code

skills CLI
$ npx skills add github/awesome-copilot --skill openapi-to-application-code -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot openapi-to-application-code --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openapi-to-application-code .claude/skills/openapi-to-application-code && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
openapi-to-application-code
GitHub stars
40k
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
418 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 4 steps: Analyze the OpenAPI Specification → Design Application Architecture → Generate Application Code → …
  • Tasks that involve OpenAPI specifications
  • SKILL.md covers Input Requirements, Generation Process, Output Structure and Best Practices Applied, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Openapi To Application Code is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Generate a complete, production-ready application from an OpenAPI specification

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering OpenAPI specifications. It works with OpenAPI. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Tasks that involve OpenAPI specifications

Example prompts

  • “/openapi-to-application-code”

Requirements

  • Docker

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Analyze the OpenAPI Specification
  2. Design Application Architecture
  3. Generate Application Code
  4. Add Supporting Files

What it can do on your machine

Read from SKILL.md and the folder at commit 82701c2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Openapi To Application Code loads about 1.1k tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 418 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 82701c2, republished under its MIT licence (© github). 418 words, ~1,144 tokens.

Download SKILL.mdSave it as .claude/skills/openapi-to-application-code/SKILL.md (or your agent's skills folder).
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

  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)
Show full SKILL.md (173 more words)Show less

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?

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/openapi-to-application-code of github/awesome-copilot.

Open the folder on GitHubat commit 82701c2

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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OpenAPI to MCP Servermcp-use/mcp-use11k—~5.2kAutomated safety check: PassApache-2.0
Use Yaakmountain-loop/yaak19k—~1.9kAutomated safety check: PassMIT
API DesignerJeffallan/claude-skills12k1 repos~2kAutomated safety check: PassMIT

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Works with

Categories

Questions about Openapi To Application Code

What does Openapi To Application Code do?

Generate a complete, production-ready application from an OpenAPI specification. Openapi To Application Code is an agent skill from github/awesome-copilot, published by the product's own GitHub organization.

When should I use Openapi To Application Code?

Openapi To Application Code fits situations like: tasks that involve OpenAPI specifications.

How do I install Openapi To Application Code in Claude Code?

Run `npx skills add github/awesome-copilot --skill openapi-to-application-code -a claude-code`. Or copy the skill folder (skills/openapi-to-application-code in github/awesome-copilot) into .claude/skills/openapi-to-application-code in your project. Claude Code loads it when a task matches its description.

How do I install Openapi To Application Code in Codex?

Run `npx skills add github/awesome-copilot --skill openapi-to-application-code -a codex`. Or copy the skill folder (skills/openapi-to-application-code in github/awesome-copilot) into .agents/skills/openapi-to-application-code in your project. Codex loads it when a task matches its description.

Can I use Openapi To Application Code in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill openapi-to-application-code -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openapi-to-application-code, .gemini/skills/openapi-to-application-code, .github/skills/openapi-to-application-code and .opencode/skills/openapi-to-application-code in your project.

What does Openapi To Application Code need to run?

SKILL.md names no scripts, command-line tools or credentials: Openapi To Application Code is instructions for the agent only. Our summary lists: Docker.

Does Openapi To Application Code access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Openapi To Application Code safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Openapi To Application Code use?

Openapi To Application Code is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Openapi To Application Code use?

About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Openapi To Application Code?

Skills that share tags, products or a category with Openapi To Application Code: ToolJet Marketplace Plugin Builder (ToolJet/ToolJet, 41k stars), Step Parts (earthtojake/text-to-cad, 19k stars), OpenAPI to MCP Server (mcp-use/mcp-use, 11k stars) and Use Yaak (mountain-loop/yaak, 19k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Openapi To Application Code?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,830 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 9, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.