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query-wikipedia

Fuzzy-search Wikipedia for a topic and return the introduction plus infobox extract.

Skill by wuyhong715

IndexedApache-2.0★ 65
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Fuzzy-search Wikipedia for a topic and return the introduction plus infobox extract. Requires internet.

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/query-wikipedia

What's inside

Skill name
query-wikipedia
Description
Fuzzy-search Wikipedia for a topic and return the introduction plus infobox extract. Requires internet.
License
Apache-2.0
Compatibility
Requires the JS skills tool (run_js) and network access.
Metadata
upstream: https://github.com/google-ai-edge/gallery
Instructions
18 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • index.html · scripts/

SKILL.md (first lines)

# Query Wiki

## Instructions

Call the `run_js` tool using `script: scripts/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.

## Attribution

Ported from [google-ai-edge/gallery](https://github.com/google-ai-edge/gallery) under the Apache-2.0 licence. Original copyright Google LLC.

From wuyhong715/rikkahub-agent-pure, Apache-2.0.

More from wuyhong715/rikkahub-agent-pure

Signals

Stars
65
Forks
10
Open issues
0
Last commit (this folder)
Oct 16, 2026 (15 days ago)
Last release
Oct 24, 2026 (8 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

query-wikipedia skill. Agent Mart. https://agentmart.dev/skills/wuyhong715-query-wikipedia (last updated 2026-10-24)