[REPLACE: SKILL_NAME]

Generate a daily markdown digest from RSS/Atom feeds and web search.

6|2|Updated May 21, 2026
One-click install
npx skills add https://github.com/anajuliabit/aeon --skill replace-skill-name
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: [REPLACE: SKILL_NAME]
Source: https://github.com/anajuliabit/aeon/tree/main/templates/research-digest
Command: npx skills add https://github.com/anajuliabit/aeon --skill replace-skill-name

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This Skill saves time by automatically collecting the most relevant new posts for a given topic and turning them into a concise daily digest.

Core Features & Use Cases

  • RSS + web augmentation: Reads the last 24 hours from configured RSS/Atom feeds and supplements results with targeted web search for the topic.
  • Deduped, scored ranking: Ranks candidates by recency, source weight, and specificity, then filters out off-topic items.
  • Actionable outputs: Writes a dated markdown digest, notifies with top picks, and logs scan/pick status for reliability.

Quick Start

Tell your agent: "Run the research-digest skill for 'quantum computing' with 10 items and notify me daily."

Frequently Asked Questions about [REPLACE: SKILL_NAME]

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

FAQPage Schema
How do I generate a daily research digest from RSS feeds and web search?

You can generate a daily research digest by combining RSS/Atom feed retrieval from the last 24 hours with targeted web search for a specific topic. The Skill scores, deduplicates, and ranks the candidates to produce a concise markdown digest with top picks.

What is the best way to monitor a topic and summarize new content automatically?

The best way to monitor a topic is by combining RSS retrieval with targeted web search, then applying strict deduplication via persisted URL tracking. This approach scores candidates by recency and specificity, filtering out off-topic items to create a summarized daily update.

How does deduplication work for recurring newsroom-style topic monitoring?

Deduplication for recurring topic monitoring works by using persisted URL tracking to ensure previously seen content is filtered out. This prevents duplicate posts from appearing in your daily research digest across multiple recurring scans.

Can I use RSS feeds and web search together for content discovery?

Yes, you can use RSS feeds and web search together for content discovery. The system reads the last 24 hours from configured RSS/Atom feeds and supplements those results with targeted web search candidates to build a comprehensive daily digest.

How are posts ranked and filtered in an automated research digest?

Posts in an automated research digest are ranked by recency, source weight, and specificity, then filtered to remove off-topic items. This scoring mechanism ensures only the most relevant new content appears in your daily update.

Do I need to configure RSS feeds manually for topic monitoring?

Yes, you need to configure RSS/Atom feeds to enable topic monitoring. The Skill reads from these configured feeds to retrieve the last 24 hours of posts, then supplements them with targeted web search to ensure comprehensive coverage for your daily research digest.