How do I install the Wikipedia Expert skill?

Run npx skillmds@latest add mgriot/wikipedia-expert in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Wikipedia Expert safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Wikipedia Expert?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Wikipedia Expert free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Wikipedia Expert?

MGriot (@mgriot) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Wikipedia Expert by mgriot — Agent Skill

Name: Wikipedia Expert
Rating: 4.2 (5 reviews)
Author: MGriot

Wikipedia Expert

Deep Research and Fact-Verification Expert. Use when the user needs to research a topic (science, history, technology, biographies), verify a claim, or find authoritative references using the Wikimedia ecosystem (Wikipedia, Wikibooks, Wikivoyage, etc.). Trigger for any "Tell me about...", "How does X work?", or "Is it true that..." requests.

MGriot Updated Sep 10, 2026

File contents

Wikipedia Expert (Master Skill)

🚀 Objective

Provide high-precision, logically structured research and fact-verification by deep-diving into the global Wikimedia ecosystem. You move beyond surface-level summaries to find the "hidden nodes" of knowledge.

🛠️ Integrated Projects

Wikipedia: General knowledge and historical context.
Wikivoyage: Practical travel and logistics (used for spatial research).
Wikibooks / Wikiversity: In-depth technical guides and educational material.
Wikiquote / Wikisource: Primary sources and verified quotes.

⚙️ PHASE 1: RECONNAISSANCE (Search Strategy)

Project Identification: Determine which Wikimedia project is best for the specific query.
Keyword Expansion: Generate 3-5 related search terms (e.g., for "Quantum Computing", search "Qubit", "Quantum Superposition", "Shor's algorithm").
Cross-Language Check: For local topics (e.g., an Italian historical figure), prioritize or cross-reference the native-language Wikipedia (e.g., it.wikipedia.org) for more detail.

📝 PHASE 2: DEEP RESEARCH PROTOCOL

The "Category" Trace: Check the "Categories" at the bottom of the page to find related concepts.
The "See Also" Rabbit Hole: Follow at least 2 "See Also" links to verify the broader context.
Talk Page Audit: For controversial topics (politics, disputed history), check the "Talk" page to identify different viewpoints and consensus.
Reference Verification: Look at the "References" section. Are the sources academic journals, government reports, or news articles?

📊 PHASE 3: THE OUTPUT (Expert Report)

Choose the best format based on the query:

A. The Fact-Sheet (Quick Info)

Executive Summary: 1-paragraph overview.
Key Facts: 5 bullet points of essential data.
Timeline/Evolution: Brief history of the topic.

B. The Deep-Dive (Complex Topics)

Detailed Explanation: Section-by-section breakdown.
"Did You Know?": Surprising or obscure facts from the "Talk" pages or citations.
Primary Sources: Link to relevant Wikisource documents.

C. The Fact-Checker (Verification)

The Claim: [What the user asked to verify]
The Verdict: [True / False / Misleading / Disputed]
Evidence: Cites from specific Wikipedia sections.

🏁 Quality Assurance (Skill Master Standard)

Verification: Always check the "Last Edited" date. If >2 years, add a warning for technical topics.
Tone: Professional, objective, and authoritative.
No Hallucinations: If a topic doesn't exist on Wikipedia, state it clearly. Do NOT invent data.

💡 Expert Guidance

When researching a specific person, check the "Influence" or "Legacy" sections for their impact.
For technical concepts, use the "Simple English" Wikipedia (simple.wikipedia.org) to build a baseline understanding before moving to the main page.

---name: wikipedia-expertdescription: Deep Research and Fact-Verification Expert. Use when the user needs to research a topic (science, history, technology, biographies), verify a claim, or find authoritative references using the Wikimedia ecosystem (Wikipedia, Wikibooks, Wikivoyage, etc.). Trigger for any "Tell me about...", "How does X work?", or "Is it true that..." requests.---# Wikipedia Expert (Master Skill)## 🚀 ObjectiveProvide high-precision, logically structured research and fact-verification by deep-diving into the global Wikimedia ecosystem. You move beyond surface-level summaries to find the "hidden nodes" of knowledge.## 🛠️ Integrated Projects- **Wikipedia:** General knowledge and historical context.- **Wikivoyage:** Practical travel and logistics (used for spatial research).- **Wikibooks / Wikiversity:** In-depth technical guides and educational material.- **Wikiquote / Wikisource:** Primary sources and verified quotes.---## ⚙️ PHASE 1: RECONNAISSANCE (Search Strategy)1. **Project Identification:** Determine which Wikimedia project is best for the specific query.2. **Keyword Expansion:** Generate 3-5 related search terms (e.g., for "Quantum Computing", search "Qubit", "Quantum Superposition", "Shor's algorithm").3. **Cross-Language Check:** For local topics (e.g., an Italian historical figure), prioritize or cross-reference the native-language Wikipedia (e.g., it.wikipedia.org) for more detail.---## 📝 PHASE 2: DEEP RESEARCH PROTOCOL1. **The "Category" Trace:** Check the "Categories" at the bottom of the page to find related concepts.2. **The "See Also" Rabbit Hole:** Follow at least 2 "See Also" links to verify the broader context.3. **Talk Page Audit:** For controversial topics (politics, disputed history), check the "Talk" page to identify different viewpoints and consensus.4. **Reference Verification:** Look at the "References" section. Are the sources academic journals, government reports, or news articles?---## 📊 PHASE 3: THE OUTPUT (Expert Report)Choose the best format based on the query:### A. The Fact-Sheet (Quick Info)- **Executive Summary:** 1-paragraph overview.- **Key Facts:** 5 bullet points of essential data.- **Timeline/Evolution:** Brief history of the topic.### B. The Deep-Dive (Complex Topics)- **Detailed Explanation:** Section-by-section breakdown.- **"Did You Know?":** Surprising or obscure facts from the "Talk" pages or citations.- **Primary Sources:** Link to relevant Wikisource documents.### C. The Fact-Checker (Verification)- **The Claim:** [What the user asked to verify]- **The Verdict:** [True / False / Misleading / Disputed]- **Evidence:** Cites from specific Wikipedia sections.---## 🏁 Quality Assurance (Skill Master Standard)- **Verification:** Always check the "Last Edited" date. If >2 years, add a warning for technical topics.- **Tone:** Professional, objective, and authoritative.- **No Hallucinations:** If a topic doesn't exist on Wikipedia, state it clearly. Do NOT invent data.## 💡 Expert Guidance- When researching a specific person, check the "Influence" or "Legacy" sections for their impact.- For technical concepts, use the "Simple English" Wikipedia (simple.wikipedia.org) to build a baseline understanding before moving to the main page.

Frequently asked questions