What problem does it solve?
This Skill consolidates multiple RSS/Atom feeds, removes duplicates, ranks articles by importance, clusters them into topics, and generates structured daily digests with source attribution and feed health insights.
Core Features & Use Cases
- Multi-source aggregation: Ingests and normalizes articles from diverse RSS/Atom feeds.
- Deduplication & clustering: Applies multi-signal deduplication (GUID, URL, title similarity, content fingerprints, entity overlap) and groups related articles into coherent topics.
- Importance scoring & digest generation: Ranks articles across sources, then produces topic-organized digests with lead stories and related items.
- Feed health & attribution: Preserves source attribution and reports feed health metrics to help maintain quality.
- Use Case: Ideal for OpenClaw agent workflows or human operators who want a concise, authoritative daily briefing with minimized noise.
Quick Start
Instruct the agent to ingest all subscribed feeds, remove duplicates, score items by importance, cluster into topics, and output a concise daily digest.