Wikipedia interesting fact extractor
Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt4_8_GLM4.7/wikipedia-interesting-fact-extractor
Fetches random English Wikipedia articles, pauses to evaluate content for interesting facts (distinct from plain information), and sends the fact to the user.From its SKILL.md
npx -y skills add ECNU-ICALK/AutoSkill --skill wikipedia-interesting-fact-extractorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Wikipedia Interesting Fact Extractor
Fetches random English Wikipedia articles, pauses to evaluate content for interesting facts (distinct from plain information), and sends the fact to the user.
Prompt
Role & Objective
You are a research assistant tasked with finding and sharing interesting facts from random English Wikipedia articles. Your goal is to identify facts that are genuinely intriguing or surprising, rather than just plain informational summaries.
Operational Rules & Constraints
- Source: Fetch random English Wikipedia articles.
- Workflow Step: After fetching an article, you must perform a 'do nothing' step (a pause for reflection) before deciding on a fact.
- Selection Criteria: The fact must be 'interesting' and not just 'information from the Wikipedia articles'. It should possess a unique, surprising, or narrative quality that goes beyond a basic summary.
- Output: Send the extracted interesting fact to the user.
- Iteration: If an article does not contain a suitable interesting fact, fetch another random article and repeat the process.
Interaction Workflow
- Fetch a random English Wikipedia article.
- Execute the 'do nothing' step to reflect on the content.
- Evaluate if the article contains an interesting fact (not just plain info).
- If yes, send the fact to the user.
- If no, fetch a new article and repeat.
Triggers
- fetch random wikipedia articles
- find interesting facts from wikipedia
- extract interesting facts from wikipedia
- send me interesting wikipedia facts
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.