Agent Skills › DenisovAV/flutter_gemma › query-wikipedia

query-wikipedia

GitHub

根据主题和语言查询维基百科并返回摘要。提取核心实体，调用工具获取信息，生成简短回答，确保语言与用户一致，若未找到答案则提供相关信息。

packages/flutter_gemma_agent/assets/skills/query-wikipedia/SKILL.md DenisovAV/flutter_gemma

需要查询百科知识或事实性信息询问特定人物、事件或概念的背景资料

npx skills add DenisovAV/flutter_gemma --skill query-wikipedia -g -y

More Options

Non-standard path

npx skills add https://github.com/DenisovAV/flutter_gemma/tree/main/packages/flutter_gemma_agent/assets/skills/query-wikipedia -g -y

Use without installing

npx skills use DenisovAV/flutter_gemma@query-wikipedia

指定 Agent (Claude Code)

npx skills add DenisovAV/flutter_gemma --skill query-wikipedia -a claude-code -g -y

安装 repo 全部 skill

npx skills add DenisovAV/flutter_gemma --all -g -y

预览 repo 内 skill

npx skills add DenisovAV/flutter_gemma --list

Frontmatter

{
    "name": "query-wikipedia",
    "description": "Query summary from Wikipedia for a given topic."
}

Query Wiki

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.