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- api documentation builder
api documentation builder
Standardizes fragmented API specs, notes, and traffic into production-ready Markdown documentation.
$5
Works with the AI Agents you already use
api documentation builder
Example session with this skill installed
I have a basic OpenAPI yaml and some notes on our custom rate limiting and webhook signatures. Can you build a full reference doc? The rate limits are 100 req/min based on the X-API-Key header.
- Read your context and instructions
- Compiled the api documentation builder
I have reconciled your OpenAPI specification with the provided notes on rate limiting and webhooks. I prioritized the specific implementation details for the custom headers over the generic spec placeholders.
API Reference Documentation
| Section | Content Summary |
|---|---|
| Base URL | https://api.acme-corp.com/v1 |
| Authentication | API Key via X-API-Key header. |
| Rate Limits | 100 requests per minute. Includes X-RateLimit-Remaining headers. |
| Endpoints | GET /users, POST /orders, GET /orders/{id} |
| Webhooks | order.created, order.updated. Verified via HMAC-SHA256 signature. |
Authentication
All requests must include the following header:
X-API-Key: <your_api_key>
Rate Limiting
The API enforces a limit of 100 requests per sliding 60-second window per API key.
- 429 Too Many Requests: Returned when limits are exceeded.
- Headers:
X-RateLimit-Limit: 100X-RateLimit-Remaining: Number of requests left in the current window.Retry-After: Seconds to wait before next request.
Endpoints
POST /orders
Creates a new order in the system.
Request Body
{
"customer_id": "cust_99210",
"items": [
{
"sku": "SKU-001",
"quantity": 2
}
]
}
Response (201 Created)
{
"id": "ord_5521",
"status": "pending",
"created_at": "2023-10-27T10:00:00Z"
}
Webhooks
We send POST requests to your configured URL. You must verify the X-Hub-Signature header.
Next steps
- Verify the HMAC signature logic in your listener matches the
X-Hub-Signaturedescription. - Check the
order.updatedpayload against your local database schema. - Test the 429 response handling in your client's retry logic.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Developers often struggle with fragmented API documentation, where specs, Slack notes, and code comments contradict each other. This lead to integration errors, broken schemas, and wasted hours chasing down the authoritative truth.
What it does
- Reconciles conflicting sources by prioritizing live traffic and spec files over informal notes.
- Identifies undocumented parameters, missing response schemas, and logic gaps.
- Generates structured Markdown references covering auth, pagination, webhooks, and rate limits.
- Produces realistic, schema-validated request and response examples for every endpoint.
- Audits existing documentation against actual implementation behavior.
Frameworks & tools
Compatible with OpenAPI (Swagger), RAML, GraphQL SDL, and raw HTTP traffic logs. Outputs standard GitHub-flavored Markdown.
Why this beats prompting it yourself
General-purpose prompts often hallucinate missing fields or mix up authentication and authorization logic. This skill follows a strict resolution hierarchy and a 10-point structural checklist to ensure no technical corner cases like rate-limit headers or pagination termination are ignored.
Use cases
- Consolidating scattered integration notes into a single developer portal.
- Auditing a legacy API to see where the documentation has drifted from the code.
- Building a complete reference for a new service from raw traffic samples.
- Standardizing internal API docs for better cross-team developer experience.
Known limitations
Does not generate client SDKs, mock servers, or executable code. Requires source material or traffic samples to function.
Does not generate code, SDKs, or mock servers. High-fidelity output requires either a spec file (OpenAPI/GraphQL) or live traffic samples to verify schemas accurately.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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