topic-collector

Aggregate AI topics from multiple sources into a dated Markdown or HTML digest.

77|8|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/laborany/laborany --skill topic-collector-laborany
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: topic-collector
Source: https://github.com/laborany/laborany/tree/main/skills/topic-collector
Command: npx skills add https://github.com/laborany/laborany --skill topic-collector-laborany

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

It helps teams quickly gather and organize the latest AI-related topics from multiple sources into a single digest, reducing manual research time.

Core Features & Use Cases

  • Multi-source aggregation: Pulls from Twitter/X, Product Hunt, Reddit, Hacker News, and blogs to surface relevant AI topics.
  • Date-aware outputs: Ensures content is within the last 24 hours and timestamps results.
  • Multi-format delivery: Generates Markdown and HTML reports for easy sharing and publishing.

Quick Start

Run the topic-collector script to generate templated outputs and then populate them with actual search results.

Frequently Asked Questions about topic-collector

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

FAQPage Schema
How do I automate AI hotspot collection from Twitter, Reddit, and Hacker News into a daily digest?

You can automate AI hotspot collection by running the topic-collector script, which applies source-specific query templates and date-aware filtering to aggregate trends from Twitter, Reddit, Hacker News, and blogs into a single daily digest.

What is the best way to generate Markdown and HTML reports for AI trend research?

The best way to generate Markdown and HTML reports for AI trend research is using a configurable script that pulls multi-source data, applies date-aware outputs within the last 24 hours, and formats the aggregated hotspots for easy sharing and publishing.

Can I use automated trend gathering for content planning across platforms like Product Hunt?

Yes, automated trend gathering supports content planning across platforms like Product Hunt by applying source-specific query templates to surface relevant AI topics and organizing them into timestamped Markdown or HTML outputs.

How does date-aware filtering work when aggregating AI topics from multiple blogs?

Date-aware filtering ensures the aggregated AI topics from multiple blogs and social sources are restricted to content published within the last 24 hours, ensuring your daily digest only contains the most recent trends and timestamps all results.

Are there limitations to using a script for daily knowledge management of AI hotspots?

A limitation of using a script for daily knowledge management of AI hotspots is that it requires running the process to generate templated outputs first, which then must be populated with actual search results from the configured sources.