openai-docs

Access official OpenAI API documentation with endpoint specs and code examples.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/glkglob/refurb-estimator --skill openai-docs-glkglob
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-docs
Source: https://github.com/glkglob/refurb-estimator/tree/main/openai-docs
Command: npx skills add https://github.com/glkglob/refurb-estimator --skill openai-docs-glkglob

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the hassle of sifting through unofficial, outdated, or scattered OpenAI resources by providing direct access to accurate, official API documentation and trusted implementation guidance for building AI-powered features.

Core Features & Use Cases

  • Official API Reference Access: Get precise details for all OpenAI endpoints including chat completions, embeddings, Assistants API v2, and fine-tuning, with up-to-date parameter specs and error codes.
  • Migration & Best Practice Guidance: Includes step-by-step migration guides for model updates (e.g., GPT-4o to GPT-5.4), rate limit details, pricing information, and recommended implementation patterns.
  • Use Case: If you are integrating OpenAI's Assistants API into a Next.js property cost estimation tool, this Skill gives you the exact endpoint requirements, sample code, and version compatibility notes to implement the feature correctly on the first try.

Quick Start

Use the openai-docs skill to get the exact parameters and working code sample for implementing the OpenAI Assistants API v2 in your Next.js property estimation application.

Frequently Asked Questions about openai-docs

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

FAQPage Schema
How do I get the correct parameters for the OpenAI Assistants API v2?

To get the correct parameters for the OpenAI Assistants API v2, access the official OpenAI API documentation which provides precise endpoint specifications, sample code, and version compatibility notes to implement features accurately.

What is the best way to migrate OpenAI models like GPT-4o to a newer version?

The best way to migrate OpenAI models like GPT-4o involves following the official step-by-step migration guides, which detail version compatibility, parameter updates, and recommended implementation patterns for a smooth transition.

How do I handle rate limits and error codes when building OpenAI chat completions?

Handle rate limits and error codes for OpenAI chat completions by referencing the official API documentation, which delivers up-to-date error handling workflows, rate limit details, and pricing information for reliable application development.

Does the official OpenAI documentation include implementation best practices for embeddings?

Yes, the official OpenAI documentation includes implementation best practices for embeddings, delivering endpoint specifications, parameter details, and trusted guidance for integrating embedding models into AI applications.

When do I need to reference OpenAI API documentation for fine-tuning models?

You need to reference OpenAI API documentation for fine-tuning models when integrating custom AI capabilities, providing exact endpoint requirements, parameter specs, and code examples to execute fine-tuning tasks correctly on the first try.