feed-reader

Aggregate feeds from multiple sources and generate concise summaries.

Updated Feb 2, 2026
One-click install
npx skills add https://github.com/frogr/austnomaton --skill feed-reader
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feed-reader
Source: https://github.com/frogr/austnomaton/tree/main/.claude/skills/feed-reader
Command: npx skills add https://github.com/frogr/austnomaton --skill feed-reader

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill aggregates content from multiple feeds to deliver concise, up-to-date information, reducing manual monitoring.

Core Features & Use Cases

  • Automated Feed Aggregation: fetches from curated sources and compiles a unified feed.
  • Summarization & Highlighting: generates brief summaries and identifies key trends.
  • Memory Integration: stores findings in memory/context.md for quick recall and context-aware suggestions.
  • Use Case: A product manager staying on top of tech news and market moves can review a daily digest before meetings.

Quick Start

Run the feed-reader with a default source set or specify a source to tailor the digest, then review the generated summary.

Frequently Asked Questions about feed-reader

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

FAQPage Schema
How do I aggregate news feeds from multiple sources into a single digest?

Feed aggregation compiles content from configurable sources like Hacker News and TechCrunch into a unified feed with concise summaries. This Skill reduces manual monitoring by generating brief digests of tech news and market movements.

Can I summarize social media timelines and tech news automatically?

Automated summarization processes social media timelines and tech news by fetching updates from sources like X timelines. The Skill generates brief summaries highlighting key trends for quick review.

What is the best way to persist aggregated feed updates for later recall?

Persisting aggregated feed updates is handled by storing findings in a memory context store. The Skill saves summarized content to memory/context.md, enabling quick recall and context-aware suggestions for future queries.

Does the feed aggregator require predefined source definitions to work?

Yes, feed aggregation requires configurable source definitions to operate. You can run it with a default source set or specify custom sources to tailor the generated digest to your specific monitoring needs.

How do I filter market movements and AI updates from aggregated feeds?

Filtering market movements and AI updates is part of the fetch and summarize process. The Skill applies filters to aggregated feeds from your defined sources to deliver concise, actionable updates on specific tech sectors.