Chalk Labs
Need help deploying query-wikipedia?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
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/shfahiim-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.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
query-wikipedia- Description
- Query summary from Wikipedia for a given topic.
- License
- Apache-2.0
- Instructions
- 13 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 `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.
From shfahiim/inferEdge, Apache-2.0.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 2, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/shfahiim/inferEdge
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.756score
query-wikipedia
jegly
Query summary from Wikipedia for a given topic.
SkillBFreshness: B★ 941Claude Code +9 - 0.395score
query-wikipedia
jegly
Query summary from Wikipedia for a given topic.
SkillBFreshness: B★ 941Claude Code +9 - 0.299score
query-wikipedia
saikirantechy
Query summary from Wikipedia for a given topic.
SkillCFreshness: C★ 2Claude Code +9 - 0.290score
query-wikipedia
knooob
Query summary from Wikipedia for a given topic.
SkillDFreshness: D★ 26Claude Code +9 - 0.290score
query-wikipedia
knooob
Query summary from Wikipedia for a given topic.
SkillDFreshness: D★ 26Claude Code +9 - 0.264score
query-wikipedia
iuaihub
Query summary from Wikipedia for a given topic.
SkillDFreshness: D★ 3Claude Code +9 - 0.264score
query-wikipedia
iuaihub
Query summary from Wikipedia for a given topic.
SkillDFreshness: D★ 3Claude Code +9 - 0.260score
query-wikipedia
saikirantechy
Query summary from Wikipedia for a given topic.
SkillDFreshness: D★ 2Claude Code +9 - 0.254score
query-wikipedia
ceasarXuu
Query summary from Wikipedia for a given topic.
SkillDFreshness: D★ 1Claude Code +9 - 0.254score
query-wikipedia
ceasarXuu
Query summary from Wikipedia for a given topic.
SkillDFreshness: D★ 1Claude Code +9 - 0.240score
query-wikipedia
riley1802
Query summary from Wikipedia for a given topic.
SkillDFreshness: DClaude Code +9 - 0.240score
query-wikipedia
happyaaa
Query summary from Wikipedia for a given topic.
SkillDFreshness: DClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get query-wikipedia running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
query-wikipedia skill. Agent Mart. https://agentmart.dev/skills/shfahiim-query-wikipedia (last updated 2026-10-24)