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discover-wikipedia

Generates curated Wikipedia reading lists mixing familiar interests with adjacent and unexpected topics.

5|Updated Sep 24, 2017
Search Tags:#curation#web search#discovery#learning#recommendations#reading list#wikipedia
One-click install
npx skills add https://github.com/madyankin/dotfiles --skill discover-wikipedia-madyankin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: discover-wikipedia
Source: https://github.com/madyankin/dotfiles/tree/main/.config/agents/skills/discover-wikipedia
Command: npx skills add https://github.com/madyankin/dotfiles --skill discover-wikipedia-madyankin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Generic recommendation feeds tend to reinforce existing interests, creating a filter bubble. This Skill builds a small, surprising Wikipedia reading list that balances what you already like with adjacent subjects and genuine wildcards, turning idle curiosity into a structured learning path. ## Core Features & Use Cases - Interest Inference: Reads the current conversation to infer your interests, falling back to a broad mix when context is thin. - Verified Recommendations: Searches the live web to confirm every recommended article exists and uses its canonical URL. - Balanced Curation: Selects 5-8 articles split between known interests, bridging subjects, and at least one unexpected wildcard, each with a short hook and a closing synthesis question. - Use Case: Ask for a daily Wikipedia digest and receive a scannable list of linked articles with one- or two-sentence explanations of why each is worth reading and how it connects to your interests. ## Quick Start Ask the assistant to use discover-wikipedia to create today's Wikipedia reading list based on your interests.

Frequently Asked Questions about discover-wikipedia

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get a personalized Wikipedia reading list?▼

Ask for a Wikipedia reading list and the skill infers your interests from the conversation, then selects 5-8 verified articles. Roughly half match your known interests, with bridging topics and at least one unexpected wildcard.

How to discover new topics outside my usual interests?▼

Request a reading digest and the skill deliberately includes adjacent subjects and wildcard articles that break filter bubbles. Each item includes a short hook explaining why it is worth reading and how it connects to your interests.

Does the skill verify that Wikipedia articles actually exist?▼

Yes, the skill searches the live web for candidate articles and confirms each recommended page exists before including it. Every recommendation uses the article's canonical URL.

Can I schedule a recurring daily Wikipedia digest?▼

The skill can produce the digest itself but does not create a scheduler. To run it on a recurring basis, use your environment's task or automation mechanism, and the skill will vary subjects across runs.

What kinds of Wikipedia articles does it avoid recommending?▼

It avoids generic hub pages, listicles, breaking news, and near-duplicate articles. It prefers specific phenomena, obscure events, unusual systems, intellectual history, and concepts with strong explanatory value.

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