Scan news sources for EU referendum articles and classify them by priority.
npx skills add https://github.com/bgautijonsson/esbvaktin --skill find-articles
Please help me install this Agent Skill. Skill: Find Articles Source: https://github.com/bgautijonsson/esbvaktin/tree/main/.claude/skills/find-articles Command: npx skills add https://github.com/bgautijonsson/esbvaktin --skill find-articles
This Skill automates the discovery and initial filtering of online articles related to the EU referendum, ensuring that only relevant and high-priority content is presented for further analysis.
Use the find-articles skill to scan for new articles published in the last 7 days.
High-intent search queries and answers about installing and using this skill.
Automate EU referendum article discovery by scanning news sources, filtering out processed or irrelevant content based on titles, and classifying remaining articles by priority. This saves manual search time by presenting only high-priority content for analysis.
Prioritize news aggregation for political events by classifying articles into HIGH, MEDIUM, and LOW priority based on content relevance. This filtering mechanism ensures researchers focus only on high-impact public discourse rather than sifting through all mentions.
Yes, you can track public opinion by using the scanning feature to discover new articles published in the last 7 days. It manages an inbox for pending articles, filtering out previously processed content to maintain a continuous tracking workflow.
The article discovery skill integrates with external tools like Fréttasafn MCP for fetching articles. It uses this integration to scan recent news, filter irrelevant items, and populate an inbox with newly discovered, prioritized articles.
Content filtering handles processed articles by scanning titles and known patterns to exclude previously rejected or irrelevant content. This ensures the pending article inbox only contains new, relevant information requiring further analysis.
You need Python dependencies json and pathlib to run the article discovery and prioritization workflow. These standard libraries support the scripts and references components that execute the scanning and filtering logic.
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