rss-manager

Aggregate RSS/Atom feeds into deduplicated, ranked topic digests.

9|2|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/botlearn-ai/botlearn-skills --skill rss-manager
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rss-manager
Source: https://github.com/botlearn-ai/botlearn-skills/tree/main/skills/rss-manager
Command: npx skills add https://github.com/botlearn-ai/botlearn-skills --skill rss-manager

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about rss-manager

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

FAQPage Schema
How do I aggregate multiple RSS feeds and remove duplicate articles automatically?

To aggregate multiple RSS feeds and remove duplicate articles, you need a multi-signal deduplication pipeline. This Skill consolidates diverse RSS/Atom sources, normalizes the content, and applies GUID, URL, title similarity, and content fingerprinting checks to eliminate redundant stories.

How does RSS feed deduplication work when articles have different titles but cover the same story?

RSS feed deduplication for articles with different titles works by analyzing content fingerprints and entity overlap. Beyond exact URL or GUID matching, this Skill uses title similarity scoring and content analysis to identify and cluster related articles covering the same underlying story.

Can I generate a daily news digest from multiple RSS feeds with topic clustering?

Yes, you can generate a daily news digest from multiple RSS feeds with topic clustering. This Skill ingests subscribed feeds, scores articles by multi-dimensional importance, groups related items into coherent topics, and outputs a structured digest with lead stories and source attribution.

What is the best way to rank articles by importance across different RSS sources?

The best way to rank articles by importance across different RSS sources is using a multi-dimensional scoring model. This Skill evaluates aggregated articles from all feeds, applies importance scoring, and organizes the ranked items into topic clusters for a concise daily briefing.

Does this RSS aggregation approach work for monitoring cybersecurity and AI news feeds?

Yes, this RSS aggregation approach works for monitoring cybersecurity and AI news feeds. The Skill is specifically used in OpenClaw agent workflows to produce daily digests, breaking-news alerts, and topic clustering across tech news, cybersecurity, AI, and open-source topics.

How do I track RSS feed health and source attribution in an automated digest?

To track RSS feed health and source attribution in an automated digest, you need a curation pipeline that preserves metadata. This Skill generates structured digests while reporting per-feed health metrics and maintaining source attribution to help maintain overall aggregation quality.