What exactly does the API Documentation Generator do with my raw data?

This skill takes your raw endpoint data, HTTP methods, and JSON snippets and transforms them into clean, standardized Markdown documentation featuring professional parameter tables and response schemas.

How does this skill prevent the 'hallucination' issues common in standard AI writing?

Unlike generic AI prompts, this skill is specifically engineered for high fidelity; it flags missing or conflicting information instead of hallucinating status codes or parameters that don't exist in your source data.

Which AI agents or platforms is this documentation skill compatible with?

This skill is designed for use within any AI agent platform that supports Markdown output and text-based data processing, making it highly versatile for most modern LLM workflows.

Does the generator support complex API structures like nested JSON bodies or multiple parameter types?

Yes, the skill is optimized for all standard HTTP methods and can generate comprehensive tables for path, query, header, and body parameters simultaneously.

What is included in the purchase of this skill?

You will receive the complete agent skill configuration, including the logic required to process raw API inputs into structured technical documentation across your preferred AI agent environment.

API Documentation Generator

Example session with this skill installed

Generate documentation for a GET /v1/users/{id} endpoint. Requires a Bearer token. Parameters: id (path, string). Returns 200 OK with id, name, and email fields. Include a Python example.

Read your context and instructions
Compiled the api documentation generator

I have generated the documentation for the User API based on your endpoint details. I have included the authentication requirements, parameter tables, and the requested Python code snippet.

User API

This API provides access to user profile data.

Quick Start

Base URL

https://api.example.com

Authentication

Bearer Token

First Request

GET /v1/users/usr_12345 HTTP/1.1
Host: api.example.com
Authorization: Bearer YOUR_TOKEN

Authentication

This API uses Bearer Token authentication. Include your API token in the Authorization header of all requests.

Endpoints

Get User by ID

Method: GET /v1/users/{id}

Purpose: Retrieve profile information for a specific user.

Parameters

Name	Location	Type	Required	Description
id	path	string	Yes	The unique identifier for the user.

Response

{
  "id": "usr_12345",
  "name": "Jane Doe",
  "email": "jane.doe@example.com"
}

Response Fields

Field	Type	Description
id	string	Unique user identifier.
name	string	Full name of the user.
email	string	Primary email address.

Errors

Status	Error	Meaning
401	Unauthorized	Missing or invalid Bearer token.
404	Not Found	No user exists with the provided ID.

Code Examples

Python

import requests

url = "https://api.example.com/v1/users/usr_12345"
headers = {"Authorization": "Bearer YOUR_TOKEN"}

response = requests.get(url, headers=headers)
print(response.json())

Next steps

Add the specific Base URL if different from the placeholder.
Provide the full list of error codes for a complete Errors table.
Supply additional SDK requirements to expand the Code Examples section.

Connects securely to your tools. The creator never sees your data.

What you get

Turn raw JSON responses into structured Markdown tables and schemas.Build standardized Quick Start guides for internal microservices.Identify missing parameters or inconsistent naming across API versions.Generate language-specific code snippets for API integration testing.

About this skill

The problem

Writing API documentation manually is slow and prone to formatting inconsistencies. Developers often struggle to keep endpoint descriptions, parameter tables, and response schemas synchronized with their raw code or notes.

What it does

Converts raw endpoint details and HTTP methods into structured Markdown documentation.
Generates clean, readable tables for path, query, header, and body parameters.
Organizes request and response JSON examples into clear, syntax-highlighted blocks.
Creates a concise Quick Start section including base URLs and authentication flows.
Identifies and flags missing information or conflicting endpoint data rather than guessing.

Why this beats prompting it yourself

Generic LLMs often hallucinate missing parameters or invent status codes to fill gaps, which leads to broken implementations. This skill enforces strict fidelity to your source data, ensuring every error code and SDK claim is grounded in your provided input.

Use cases

Generating a professional README for a new microservice or internal tool.
Transforming messy internal notes into a developer-facing API portal.
Drafting standardized documentation for legacy endpoints during a refactor.
Auditing existing API specs for missing required fields or inconsistent naming.

How to install

Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

~30 seconds

1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.

Skills folder by agent

Click the path to copy it. Create the folder if it does not exist yet.

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Recently published to Agensi

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API Documentation Generator