Fetch RSS/Atom articles, deduplicate by URL, and store metadata in memory.
npx skills add https://github.com/X-McKay/kubani --skill fetch-rss-feeds
Please help me install this Agent Skill. Skill: fetch-rss-feeds Source: https://github.com/X-McKay/kubani/tree/main/kubani/skills/news/collection/fetch-rss-feeds Command: npx skills add https://github.com/X-McKay/kubani --skill fetch-rss-feeds
This Skill automates the collection of articles from various RSS and Atom feeds, ensuring you stay updated with the latest information without manual browsing.
Fetch new articles from the OpenAI blog RSS feed and store them in memory.
High-intent search queries and answers about installing and using this skill.
To fetch RSS feeds, specify your feed URLs and the system will retrieve new articles, deduplicate them against previously seen URLs, and store the content with metadata like title and publication date in memory.
Yes, you can gather articles from multiple Atom feeds simultaneously. The system handles multiple feed sources, filters them by age, and ensures data integrity by marking processed items.
Deduplication for news aggregation works by checking newly fetched article URLs against previously seen items in memory storage, preventing duplicate content from being stored twice.
When collecting articles from RSS feeds, the system stores relevant metadata including the article title, URL, summary, author, and publication date in memory.
You can filter RSS feed articles by age using the built-in filtering mechanism, which checks publication dates during the fetching process to ensure only recent articles are stored.
Yes, this news aggregation approach works without external dependencies, relying solely on memory storage to deduplicate URLs and mark processed items for data integrity.
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