openai-docs

Answer OpenAI API questions with cited developer documentation.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/erichugy/agentic.skills --skill openai-docs-erichugy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-docs
Source: https://github.com/erichugy/agentic.skills/tree/main/.system/openai-docs
Command: npx skills add https://github.com/erichugy/agentic.skills --skill openai-docs-erichugy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides concise, cited, and up-to-date guidance from official OpenAI developer documentation to help engineers and integrators answer API questions, choose models, and plan safe GPT-5.4 upgrades without relying on stale knowledge or unsupported sources.

Core Features & Use Cases

  • Official-doc-first lookups: Prioritizes the OpenAI developer MCP server for searching and fetching exact doc sections and quotes.
  • Model selection & upgrade guidance: Targets model-selection queries and explicit GPT-5.4 upgrade or prompt-upgrade requests using curated reference files while verifying everything against current docs.
  • Fallback and install workflow: Defines MCP install and escalation steps, restricted web fallback to official OpenAI domains, and precise citation and verification rules for technical recommendations.
  • Use Case: When migrating a chat app to GPT-5.4, use this Skill to identify required prompt changes, recommend a starting reasoning effort, and produce a verification plan with doc citations.

Quick Start

Use the openai-docs skill to find the recommended OpenAI model and exact documentation citations for upgrading a chat integration to GPT-5.4.

Frequently Asked Questions about openai-docs

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

FAQPage Schema
How do I upgrade my chat application to GPT-5.4?▼

To upgrade your chat application to GPT-5.4, identify required prompt changes, set a starting reasoning effort, and generate a verification plan using cited OpenAI developer documentation. This ensures a safe migration by verifying exact API requirements against current docs.

What is the best way to choose an OpenAI model for my API integration?▼

Choosing an OpenAI model requires querying official developer documentation through the OpenAI MCP server to compare capabilities. You get model-selection guidance verified against current docs, ensuring the chosen model fits your specific API usage and integration needs.

How does the OpenAI MCP server retrieve developer documentation?▼

The OpenAI MCP server retrieves developer documentation by prioritizing official doc-first lookups, fetching exact sections and quotes. It verifies technical recommendations against referenced helper files and restricts any fallback web searches strictly to official OpenAI domains.

Can I use this approach for prompt migrations across different OpenAI models?▼

Yes, you can use this approach for prompt migrations by targeting explicit prompt-upgrade requests with curated reference files. It verifies all migration steps and prompt changes against current OpenAI developer documentation to ensure compatibility.

When should I not rely on stale knowledge for OpenAI API usage?▼

You should not rely on stale knowledge for OpenAI API usage when integrating tools, selecting models, or planning GPT-5.4 upgrades. Instead, use the OpenAI developer MCP tools to fetch cited doc snippets and ensure your code integration follows current official specifications.