query-wikipedia
Fuzzy-search Wikipedia for a topic and return the introduction plus infobox extract.
Skill by wuyhong715
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.
npx agentmarket install skill/wuyhong715-query-wikipedia
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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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.
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Signals
- Stars
- 65
- Forks
- 10
- Open issues
- 0
- Last commit (this folder)
- Oct 16, 2026 (12 days ago)
- Last release
- Oct 24, 2026 (5 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
query-wikipedia skill. Agent Mart. https://agentmart.dev/skills/wuyhong715-query-wikipedia (last updated 2026-10-24)