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Productivity
Skill

/query-wikipedia

Query summary from Wikipedia for a given topic.

BOOST
From plugin
box
91814 skills
Install
$ npx -y skills add jegly/Box --skill query-wikipedia --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/query-wikipedia

Context preview

The summary Claude sees to decide when to auto-load this skill.

Query summary from Wikipedia for a given topic.

SKILL.md

query-wikipedia.SKILL.md
name: query-wikipedia
description: Query summary from Wikipedia for a given topic.

Query Wiki

Instructions

Call the `run_js` tool using `index.html` and a JSON string for `data` with the following fields:

  • **topic**: Required. Extract ONLY the primary entity, person, or event (e.g., "2026 Oscars", "Albert Einstein"). You MUST REMOVE all specific question details, action words, or conversational text (e.g., do NOT include words like "winner", "best picture", "who won", "history of"). Search for the broad subject so the tool can return the main article.
  • **lang**: Required. The 2-letter language code. This code MUST match the language of the keywords you provided in the `topic` field. Use standard codes, e.g., "en" (English), "es" (Spanish), "zh" (Chinese), "fr" (French), "de" (German), "ja" (Japanese), "ko" (Korean), "it" (Italian), "pt" (Portuguese), "ru" (Russian), "ar" (Arabic), "hi" (Hindi).

**Constraints:**

  • Provide a concise summary (1-3 complete sentences) to conserve context. Always ensure your response ends with a finished sentence. your response MUST BE written in the SAME language as the user's original prompt.
  • For recurring events or time-sensitive facts, query the specific iteration (e.g., "2026 Oscars"). If the user omits the year, default to the current year.
  • If the exact answer to the user's question is not found in the extract, briefly state this, then proactively offer a related piece of information that *was* found in the text.
Read more
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