topic-collector

Collect AI hotspot content from multiple sources into a structured list.

333|83|Updated Jan 9, 2026
One-click install
npx skills add https://github.com/zephyrwang6/myskill --skill topic-collector
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: topic-collector
Source: https://github.com/zephyrwang6/myskill/tree/main/topic-collector
Command: npx skills add https://github.com/zephyrwang6/myskill --skill topic-collector

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates collecting AI hotspot content from multiple sources and presents it as a structured, easy-to-consume list, saving time in trend monitoring and content planning.

Core Features & Use Cases

  • Multi-source collection: Concurrently gather AI hotspots from Twitter/X, Product Hunt, Reddit, Hacker News, and blogs, then categorize by source.
  • Structured output: Each hotspot includes the title, URL, source, and a concise summary for quick briefing.
  • Use Case: Daily topic briefings for content teams, newsletters, or product insights, enabling fast topic selection and publication.

Quick Start

Use the topic-collector skill to fetch today's AI hotspots and output a structured list.

Frequently Asked Questions about topic-collector

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

FAQPage Schema
How do I collect AI news from multiple sources into a structured list?

Multi-source collection gathers AI hotspots from Twitter/X, Product Hunt, Reddit, Hacker News, and blogs concurrently, then outputs each item with title, URL, source, and summary for immediate use in briefings or newsletters.

Can I automate daily trend monitoring across social platforms and blogs?

Yes. This Skill automates daily AI hotspot aggregation from multiple platforms, applying source tagging and URL extraction to produce a ready-to-use structured brief without external installations.

What's the best way to extract and tag URLs from multiple content sources?

URL extraction with source tagging categorizes each hotspot by its origin platform, enabling fast topic selection and content planning across social networks and blogs in one structured output.

How do I prepare content for daily briefings or newsletters from AI hotspots?

Structured output from multi-source collection includes concise summaries and URLs for each topic, providing content teams with quick-access briefs ready for newsletter or publication workflows.

Does this work without installing external tools or dependencies?

Yes. The Skill requires no external installations and focuses purely on multi-source aggregation, URL extraction, and source tagging to deliver structured insights immediately.

What's the difference between collecting from a single source versus multiple platforms?

Multi-source aggregation captures broader trend coverage by pulling concurrently from Twitter/X, Product Hunt, Reddit, Hacker News, and blogs, reducing blind spots in daily AI topic monitoring versus single-platform collection.