feed-digest

RSS and Atom feed aggregation consolidates content from all your configured feeds into one readable digest. This Skill reads your feed configuration, fetches and parses each source, then outputs a unified summary organized by category with relevance scores to help you quickly identify top articles.

Yes, keyword filtering lets you focus digests on specific topics like "AI" or "Cloud Computing." The Skill applies your custom keywords to automatically extract only articles matching your interests, reducing noise and surfacing content that matters to you.

Automated scoring assigns each article a 1-10 relevance rating based on predefined criteria, enabling you to quickly identify high-value content. Combined with category classification, scoring helps you scan digests efficiently and spot articles worth reading first.

Feed aggregation requires RSS or Atom feed sources and a feed configuration file stored at ~/.claude/feeds.local.md. This configuration file specifies which feeds to include, keywords to filter on, and categorization rules applied to generate your digest.

Yes, automatic categorization organizes aggregated content into logical sections like "Technical Development" or "AI/ML." The Skill classifies articles as it processes feeds, then outputs your digest structured by category in Markdown format for easy navigation.

Feed digest summarization generates both Markdown output for human reading and JSON encoding for downstream processing. This dual-format approach lets you read digests directly or integrate results into other tools and workflows.