Wiki Llms Txt
This skill extracts key information from Wikipedia articles using LLMs for quick summaries and insights – a valuable research tool.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add wiki-llms-txt npx -- -y @trustedskills/wiki-llms-txt
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"wiki-llms-txt": {
"command": "npx",
"args": [
"-y",
"@trustedskills/wiki-llms-txt"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill allows AI agents to access and process information from Wikipedia. It can summarize articles, answer questions based on Wikipedia content, or extract specific facts. The agent uses this data to provide more informed responses and complete tasks requiring broad knowledge.
When to use it
- Research Assistance: Have the agent quickly gather background information on a topic before a meeting or presentation.
- Question Answering: Ask complex questions that require synthesizing information from multiple Wikipedia articles.
- Content Summarization: Request concise summaries of lengthy Wikipedia entries for quick understanding.
- Fact Verification: Cross-reference claims with Wikipedia to ensure accuracy and reliability.
Key capabilities
- Accesses Wikipedia content
- Summarizes Wikipedia articles
- Answers questions using Wikipedia data
- Extracts facts from Wikipedia pages
Example prompts
- "Summarize the article on 'Quantum Computing'."
- "What were the main causes of World War II?"
- "Find the population of Tokyo according to Wikipedia."
Tips & gotchas
The agent's responses are limited by the information available on Wikipedia, which may not always be complete or entirely up-to-date. Be mindful of potential biases present in Wikipedia articles.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.