Agent Skillsjegly/Box › query-wikipedia

query-wikipedia

GitHub

根据主题查询维基百科并生成多语言摘要,提取核心实体以优化搜索结果,支持时间敏感事件处理及信息缺失时的相关推荐。

skills/built-in/query-wikipedia/SKILL.md jegly/Box

Trigger Scenarios

用户询问特定人物、事件或实体的背景信息 需要快速获取维基百科上的简明事实摘要

Install

npx skills add jegly/Box --skill query-wikipedia -g -y
More Options

Non-standard path

npx skills add https://github.com/jegly/Box/tree/main/skills/built-in/query-wikipedia -g -y

Use without installing

npx skills use jegly/Box@query-wikipedia

指定 Agent (Claude Code)

npx skills add jegly/Box --skill query-wikipedia -a claude-code -g -y

安装 repo 全部 skill

npx skills add jegly/Box --all -g -y

预览 repo 内 skill

npx skills add jegly/Box --list

SKILL.md

Frontmatter
{
    "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.

Version History

  • 7897895 Current 2026-07-24 17:00

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Metadata

Files
0
Version
fe83d52
Hash
327744b0
Indexed
2026-07-24 17:00

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