Does this skill use the model's internal memory?

No, this skill is strictly instructed to use WebFetch to query official documentation sites in real-time, ensuring you get the most current information available rather than relying on stale training data.

What specific topics can I compare using this skill?

You can compare a wide range of topics including pricing, model types, rate limits, function calling, vision capabilities, prompt caching, reasoning models, and agentic tools.

Is using this skill faster than searching manually?

Yes, the skill performs parallel WebFetch calls to all documentation sources at once, consolidating the information into a single, easy-to-read comparison directly within your terminal or chat interface.

Which AI platforms are covered by this guide?

The skill currently supports simultaneous documentation lookups for the three major providers: OpenAI, Google Gemini, and Anthropic Claude.

How does it handle features that aren't available on all platforms?

The skill explicitly notes if a feature is not supported or does not have a direct equivalent on a specific platform within its structured comparison table, typically marked with a dash or a clear 'not supported' note.

Cross-Platform AI Documentation Guide

Name: Cross-Platform AI Documentation Guide
Author: PsychQuant

byPsychQuant

0•

学習とドキュメンテーション

Queries and compares official documentation from OpenAI, Gemini, and Claude simultaneously for up-to-date technical analysis.

The Cross-Platform AI Documentation Guide is a specialized skill for Claude Code designed to streamline research for developers building multi-provider applications or comparing LLM capabilities. It eliminates the need for manual searching by programmatically fetching real-time data from OpenAI, Google Gemini, and Anthropic Claude documentation using WebFetch. By bypassing model knowledge cutoffs, this skill ensures that technical comparisons for features like function calling, structured outputs, and pricing are always based on the latest official specifications, providing a structured side-by-side analysis for informed architectural decisions.

主な機能

010 GitHub stars

02Real-time data fetching using WebFetch to ensure up-to-date information

03Automated URL mapping for dozens of AI concepts like vision, tool use, and caching

04Simultaneous multi-provider documentation querying (OpenAI, Gemini, Claude)

05Structured cross-platform comparison tables for features and pricing

06Fallback logic for constructing documentation paths for new or obscure topics

ユースケース

01Planning multi-LLM application architectures with up-to-date official docs

02Comparing model capabilities and pricing across different AI providers

03Checking implementation details for shared features like function calling or prompt caching

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add psychquant/psychquant-claude-plugins ai-docs-guide

For use in Claude.ai and ChatGPT

主な機能

010 GitHub stars

02Real-time data fetching using WebFetch to ensure up-to-date information

03Automated URL mapping for dozens of AI concepts like vision, tool use, and caching

04Simultaneous multi-provider documentation querying (OpenAI, Gemini, Claude)

05Structured cross-platform comparison tables for features and pricing

06Fallback logic for constructing documentation paths for new or obscure topics

ユースケース

01Planning multi-LLM application architectures with up-to-date official docs

02Comparing model capabilities and pricing across different AI providers

03Checking implementation details for shared features like function calling or prompt caching