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Route To Openapi

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zebbern
route-to-openapi

Generates RESTful API documentation (OpenAPI 3.0 / Swagger spec) by scanning route definitions in code for Flask, FastAPI, Express, Gin, and other frameworks. Trigger when users ask about API documentation, OpenAPI, Swagger, endpoint docs, generating docs from code, or extracting endpoints.

Overview

Publisherzebbern
Repositoryclaude-code-guide
Skill nameroute-to-openapi
Stars
4.6K
Forks
464
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zebbern on GitHub. Read the source before you install it.

Installation

Install the Route To Openapi AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zebbern/claude-code-guide.git /tmp/claude-code-guide
mkdir -p .claude/skills
cp -r /tmp/claude-code-guide/skills/route-to-openapi .claude/skills/route-to-openapi
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Route To Openapi in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Route To Openapi on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Route To Openapi is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

route-to-openapi

Automatically scan route/endpoint definitions in source code and generate RESTful API documentation conforming to the OpenAPI 3.0.3 specification.

Supports major web frameworks with automatic framework detection. Extracts HTTP methods, paths, parameters, request bodies, response models, and doc comments, then outputs a standard OpenAPI spec file ready to import into Swagger UI or Redoc.

Quick Start

bash
# Scan source directory, output OpenAPI spec in JSON format
python scripts/generate_api_doc.py ./src

# Specify output format and file
python scripts/generate_api_doc.py ./src --format yaml --output api-spec.yaml

# Specify framework and API metadata
python scripts/generate_api_doc.py ./app --framework flask --title "My API" --version 2.0.0

# Add server URLs
python scripts/generate_api_doc.py ./routes --server http://localhost:3000 --server https://api.example.com

Supported Frameworks

LanguageFrameworkParsing Method
PythonFlaskAST parsing (decorators + type annotations + docstrings)
PythonFastAPIAST parsing (decorators + Pydantic models + type annotations)
PythonDjango REST FrameworkAST parsing (@api_view decorators)
JavaScript/TypeScriptExpress.jsRegex matching (app.get() / router.get() + JSDoc)
GoGinRegex matching (r.GET() / group.GET() + comments)
GoEchoRegex matching (e.GET() + comments)

Extraction Capabilities

The script automatically extracts the following information:

  • HTTP Methods: GET / POST / PUT / DELETE / PATCH, etc.
  • Route Paths: Automatically converts each framework's path parameter format to the OpenAPI {param} format
  • Path Parameters: Extracted from route patterns (with type inference)
  • Query Parameters: Extracted from function signatures (Python frameworks)
  • Request Bodies: Inferred from type annotations and Pydantic models (FastAPI)
  • Response Models: Extracted from the response_model parameter (FastAPI)
  • Endpoint Descriptions: Extracted from docstrings / JSDoc / inline comments
  • Tag Grouping: Automatically grouped by source file module name

Path Parameter Format Conversion

FrameworkSource FormatConverted Result
Flask<int:user_id>{user_id} (type: integer)
FastAPI{user_id}{user_id} (unchanged)
Express:user_id{user_id}
Gin/Echo:user_id{user_id}

Parameters

ParameterDescriptionDefault
source_dirSource directory to scan (required)-
-f, --formatOutput format: json or yamljson
-o, --outputOutput file pathstdout
--frameworkForce a specific framework (skip auto-detection)Auto-detect
--titleAPI documentation titleAPI Documentation
--versionAPI version number1.0.0
--descriptionAPI description textEmpty
--serverServer URL (can be specified multiple times)None

Output Example

json
{
  "openapi": "3.0.3",
  "info": {
    "title": "My API",
    "version": "1.0.0"
  },
  "paths": {
    "/users": {
      "get": {
        "summary": "List all users",
        "operationId": "list_users",
        "tags": ["users"],
        "parameters": [
          {
            "name": "limit",
            "in": "query",
            "required": false,
            "schema": { "type": "integer" }
          }
        ],
        "responses": {
          "200": { "description": "Successful response" }
        }
      }
    },
    "/users/{user_id}": {
      "get": {
        "summary": "Get user by ID",
        "operationId": "get_user",
        "tags": ["users"],
        "parameters": [
          {
            "name": "user_id",
            "in": "path",
            "required": true,
            "schema": { "type": "integer" }
          }
        ],
        "responses": {
          "200": { "description": "Successful response" }
        }
      }
    }
  }
}

Prerequisites

  • Python 3.8+
  • No additional dependencies required — uses only the Python standard library
  • The scanned project must use one of the supported web frameworks listed above

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Route To Openapi AI skill do?

Generates RESTful API documentation (OpenAPI 3.0 / Swagger spec) by scanning route definitions in code for Flask, FastAPI, Express, Gin, and other frameworks. Trigger when users ask about API documentation, OpenAPI, Swagger, endpoint docs, generating docs from code, or extracting endpoints.

Why use Route To Openapi on TypingMind?

Because you install it once and use it with any model. Route To Openapi is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Route To Openapi in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zebbern/claude-code-guide/tree/main/skills/route-to-openapi. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Route To Openapi?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Route To Openapi?

As many as you like. As long as a model supports skills, you can use Route To Openapi with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Route To Openapi AI skill free?

Yes. It is published on GitHub by zebbern under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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