openai-api

Provide field-accurate reference guidance for OpenAI REST API endpoints.

7|2|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/wenerme/ai --skill openai-api-wenerme
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-api
Source: https://github.com/wenerme/ai/tree/main/skills/openai-api
Command: npx skills add https://github.com/wenerme/ai --skill openai-api-wenerme

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the problem of not knowing the exact request paths, required parameters, and response shapes for OpenAI’s REST API, preventing guesswork and broken integrations.

Core Features & Use Cases

  • OpenAI REST API endpoint reference: Covers common resources like Responses, Chat Completions, audio transcription/speech, embeddings, images, files, fine-tuning, batches, models, moderations, vector stores, and assistants.
  • Field-accurate shapes: Guides you to consult the Skill’s references/ content and explicitly avoid guessing field names or types.
  • Rapid endpoint lookups: Lets you find the correct endpoint/type for a task (e.g., “create an embedding”, “list models”, “transcribe audio”) and get the associated parameter/response structure.

Quick Start

Ask your assistant which exact OpenAI endpoint and parameters you should use for your specific task, and have it verify the field names by checking the matching entry in the Skill’s references/ directory.

Frequently Asked Questions about openai-api

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find the correct request parameters for OpenAI REST API endpoints?

OpenAI REST API endpoint parameters are discovered by consulting the Skill's local references files, which provide field-accurate request and response shapes for resources like Chat Completions, embeddings, and audio transcription without guessing field names.

What is the response schema for the OpenAI Chat Completions endpoint?

The response schema for the OpenAI Chat Completions endpoint maps to specific type definitions within the Skill's references directory, ensuring you interpret exact field names and data structures correctly during implementation and debugging.

Can I use this reference to integrate OpenAI audio transcription and text-to-speech endpoints?

Yes, this reference supports OpenAI audio transcription and speech endpoints by providing language-agnostic parameter discovery and response schema interpretation for audio modalities, ensuring accurate field usage for your integration.

What's the best way to avoid guessing field names when implementing OpenAI API integrations?

The best way to avoid guessing field names during OpenAI API integration is to query the assistant for your specific task and have it verify exact endpoint parameters and response shapes against the references directory entries.

Does this OpenAI API reference cover fine-tuning, batches, and moderation endpoints?

Yes, this OpenAI API reference covers fine-tuning, batches, and moderations endpoints, providing rapid parameter discovery and response schema interpretation for implementation and debugging scenarios across these specific resources.