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query-wikipedia

Summarize Wikipedia articles on broad topics with multilingual support.

Updated Apr 10, 2026
Search Tags:#summarization#information retrieval#knowledge#wikipedia#en.wikipedia
One-click install
npx skills add https://github.com/riley1802/lumen-ai --skill query-wikipedia-riley1802
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: query-wikipedia
Source: https://github.com/riley1802/lumen-ai/tree/main/Android/src/app/src/main/assets/skills/query-wikipedia
Command: npx skills add https://github.com/riley1802/lumen-ai --skill query-wikipedia-riley1802

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables users to access quick, summarized information from Wikipedia about a broad subject, saving time on research.

Core Features & Use Cases

  • Broad Topic Retrieval: Fetches and summarizes the main details of a given topic without specific question details.
  • Multilingual Support: Provides information in the user's preferred language, adjusting for localization.
  • Use Case: A student wanting a brief overview of Albert Einstein can input the name, and the Skill returns a concise summary in English or another language.

Quick Start

Use the query-wikipedia skill to get a brief summary about the 2026 Oscars in English.

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 quick Wikipedia summary for a broad topic?▼

To get a Wikipedia summary, input a broad topic name and the system retrieves a concise overview from the article's infobox and introductory sections. This extracts essential information without requiring specific question details.

Can I retrieve Wikipedia summaries in languages other than English?▼

Yes, you can retrieve Wikipedia summaries in other languages. The system supports multilingual queries, adjusting the information retrieval and localization based on your preferred language input.

What is the best way to extract essential information from Wikipedia for research?▼

The best way to extract essential information is to query broad topics. The system parses Wikipedia's infobox and introductory sections, delivering concise summaries that save time on research and learning.

Do I need external dependencies to parse Wikipedia infoboxes and introductory sections?▼

No external dependencies are needed to parse Wikipedia infoboxes and introductory sections. The system requires only standard web requests for searching and parsing Wikipedia articles.

Does the query-wikipedia skill work for highly specific questions or only broad topics?▼

The query-wikipedia skill is designed for broad topic retrieval rather than highly specific questions. It fetches and summarizes main details, meaning broad subject inputs yield the best concise summaries.

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