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query-wikipedia

Fetch concise Wikipedia summaries and infobox data for topics in chosen languages.

Updated Apr 9, 2026
Search Tags:#summary#multilingual#data-extraction#information-retrieval#wikipedia#infobox#topic-query
One-click install
npx skills add https://github.com/shfahiim/inferEdge --skill query-wikipedia-shfahiim
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: query-wikipedia
Source: https://github.com/shfahiim/inferEdge/tree/main/Android/src/app/src/main/assets/skills/query-wikipedia
Command: npx skills add https://github.com/shfahiim/inferEdge --skill query-wikipedia-shfahiim

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This tool provides a quick, reliable way to retrieve a concise Wikipedia summary and the infobox data for a given topic in the desired language, saving time on manual searches and parsing.

Core Features & Use Cases

  • Fuzzy article matching: Finds the most relevant Wikipedia page for a topic.
  • Infobox extraction: Parses and returns structured key-value metadata from the article infobox.
  • Multilingual summaries: Returns results in the specified language, with a short intro suitable for briefing.

Quick Start

Provide the topic and language code to the query-wikipedia tool to return a concise Wikipedia summary and an infobox of the topic.

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 specific topic?▼

To get a Wikipedia summary and infobox data, provide a topic string and a two-letter language code. The tool uses fuzzy matching to locate the article, parses the top section for the summary, and extracts infobox fields into structured key-value metadata.

Can I retrieve multilingual Wikipedia briefs using a language code?▼

Yes, you can retrieve multilingual Wikipedia briefs by specifying a two-letter language code. The tool fetches the concise summary and infobox data from the Wikipedia edition matching your chosen language.

How does fuzzy matching work for finding Wikipedia articles?▼

Fuzzy matching finds the most relevant Wikipedia page for your provided topic string, even if the exact title differs. It locates the best article match and then parses the top section for the intro summary and extracts infobox fields.

What is the best way to extract structured infobox metadata from Wikipedia?▼

The best way to extract structured infobox metadata is to use a tool that parses Wikipedia articles and returns key-value fields. This approach provides structured data for people, events, or places directly from the article infobox.

Do I need any external dependencies to parse Wikipedia summaries?▼

No external dependencies are required. You only need to provide the topic string and the two-letter language code to retrieve the concise summary and structured infobox data.

What limitations exist when extracting Wikipedia infobox data?▼

Limitations of Wikipedia infobox extraction include missing or incomplete fields on certain articles. The tool relies on fuzzy matching to locate the article and parses the top section, so articles without standard infoboxes will yield less structured metadata.

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