all

Query and compare OpenAI, Gemini, and Claude documentation for specified topics.

Updated Jan 10, 2026
One-click install
npx skills add https://github.com/PsychQuant/psychquant-claude-plugins --skill all
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: all
Source: https://github.com/PsychQuant/psychquant-claude-plugins/tree/main/plugins/ai-docs-guide/skills/all
Command: npx skills add https://github.com/PsychQuant/psychquant-claude-plugins --skill all

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users quickly find and compare information about AI platform features across OpenAI, Gemini, and Claude, eliminating the need to manually search multiple documentation sites.

Core Features & Use Cases

  • Cross-Platform Documentation Query: Fetches information on topics like models, text generation, vision, function calling, and more from all three major AI providers.
  • Feature Comparison: Enables users to easily compare how different AI platforms handle specific functionalities.
  • Use Case: A developer building a multi-provider AI application can use this Skill to understand the differences in function calling implementations between OpenAI, Gemini, and Claude before choosing the best fit.

Quick Start

Query all AI documentation for information on function calling.

Frequently Asked Questions about all

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

FAQPage Schema
How do I compare function calling implementations across OpenAI, Gemini, and Claude?

Comparing function calling implementations across OpenAI, Gemini, and Claude requires querying their official documentation sources. This Skill retrieves and structures feature details from all three AI platforms to facilitate cross-platform feature analysis.

What is the best way to find differences in AI platform documentation for multi-provider applications?

Finding differences in AI platform documentation requires querying official sources from OpenAI, Gemini, and Claude. This Skill supports parallel web fetching to efficiently retrieve and structure information for cross-platform feature analysis.

Does this approach fetch documentation for vision and text generation features from all three AI providers?

Fetching documentation for vision and text generation features from all three AI providers is supported. The Skill queries specified topics like models and function calling across OpenAI, Gemini, and Claude documentation to enable cross-platform comparison.

How do I query AI documentation for specific topics across multiple platforms?

Querying AI documentation for specific topics across multiple platforms requires specifying the feature name. This Skill fetches information from OpenAI, Gemini, and Claude documentation sources in parallel, structuring the results for easy cross-platform comparison.

Can I retrieve and compare AI documentation without manually searching multiple sites?

Retrieving and comparing AI documentation without manually searching multiple sites is the core function of this Skill. It queries OpenAI, Gemini, and Claude documentation simultaneously, structuring the retrieved information to eliminate manual cross-platform searches.