query-wikipedia

Find Wikipedia articles and return concise summaries with infobox details.

24.4k|2.6k|Updated Mar 31, 2025
One-click install
npx skills add https://github.com/google-ai-edge/gallery --skill query-wikipedia-google-ai-edge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: query-wikipedia
Source: https://github.com/google-ai-edge/gallery/tree/main/Android/src/app/src/main/assets/skills/query-wikipedia
Command: npx skills add https://github.com/google-ai-edge/gallery --skill query-wikipedia-google-ai-edge

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill provides fast, structured access to Wikipedia content by returning a concise summary along with key infobox details for any topic.

Core Features & Use Cases

  • Wikipedia lookup: Retrieve a topic's plain-language summary and extract infobox fields to support knowledge checks, research, and quick comparisons.
  • Multilingual readiness: Works across languages by leveraging the Wikipedia API to fetch and summarize in the requested language.
  • Use Case: For a student researching a historical figure, get the main summary plus key infobox data like birth date and occupation.

Quick Start

Ask it to look up a topic on Wikipedia and return a concise summary with key infobox details.

Frequently Asked Questions about query-wikipedia

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

FAQPage Schema
How do I get a Wikipedia summary and infobox data for a research topic?

To get a Wikipedia summary and infobox data, you query a specific topic to retrieve a plain-language summary alongside parsed key infobox fields. This provides fast, structured access to concise facts for quick knowledge checks and research comparisons.

Can I retrieve Wikipedia articles in different languages?

Yes, you can retrieve Wikipedia articles in different languages. The query leverages the Wikipedia API to fetch and summarize content with language-aware caps, ensuring it delivers a safe, compact result tailored to the requested language.

How does fuzzy search work for finding Wikipedia topics?

Fuzzy search for Wikipedia topics works by matching approximate query terms to locate the correct article even with minor spelling variations. It then applies infobox parsing to extract key details, returning a concise summary for your topic research.

What is the best way to extract key infobox fields from Wikipedia for quick comparisons?

The best way to extract key infobox fields is to query the topic and let the system parse the Wikipedia infobox data. This returns structured details like birth dates or occupations alongside the summary, supporting fast knowledge checks and topic comparisons.

Does Wikipedia information retrieval return the full article text?

No, Wikipedia information retrieval does not return the full article text. It applies language-aware caps and returns a concise summary with extracted infobox data, ensuring a safe, compact result optimized for quick knowledge checks rather than full reading.