openai-docs

Access OpenAI documentation and ThinWedge self-knowledge for model selection and upgrades.

Updated Apr 30, 2026
One-click install
npx skills add https://github.com/never2average/fpna-thinwedge --skill openai-docs-never2average
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-docs
Source: https://github.com/never2average/fpna-thinwedge/tree/main/thinwedge-rs/skills/src/assets/samples/openai-docs
Command: npx skills add https://github.com/never2average/fpna-thinwedge --skill openai-docs-never2average

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openaiDeveloperDocs, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides quick access to the latest OpenAI documentation, ThinWedge self-knowledge, and guidance on model selection and upgrades.

Core Features & Use Cases

  • Documentation Lookup: Access the latest OpenAI developer documentation directly.
  • ThinWedge Self-Knowledge: Gain insights into ThinWedge configuration, customization, and features.
  • Model Selection: Guide on selecting the best OpenAI model for specific use cases.
  • Upgrade Guidance: Help with model upgrades and prompt upgrades.

Quick Start

Run the skill with the command 'thinwedge exec "summarize this repository and identify the finance or data workflows it contains"'

Frequently Asked Questions about openai-docs

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

FAQPage Schema
How do I access the latest OpenAI developer documentation directly?

You can access the latest OpenAI developer documentation directly by running the Skill, which queries the required OpenAI Developer Docs MCP server to retrieve up-to-date developer references and API guides.

What is the best way to select an OpenAI model for a specific use case?

The best way to select an OpenAI model is using the built-in model selection guidance, which evaluates your specific use case requirements against available models to recommend the most suitable option.

How do I handle model upgrades and prompt upgrades for OpenAI APIs?

You handle model upgrades and prompt upgrades by leveraging the Skill's upgrade guidance feature, which provides specific instructions for transitioning your existing OpenAI implementations to newer model versions.

Do I need the ThinWedge environment to run OpenAI documentation lookups?

Yes, you need ThinWedge to run the Skill, as it requires the ThinWedge self-knowledge base and the OpenAI Developer Docs MCP server to function and execute commands like 'thinwedge exec'.

Can I analyze repository workflows using OpenAI documentation and ThinWedge?

Yes, you can analyze repository workflows by executing the Skill with a prompt like 'thinwedge exec' to summarize repositories and identify specific data or finance workflows contained within them.