topic-collector_skill

This skill gathers AI hotspots from multiple sources like Twitter, Product Hunt, Reddit, and Hacker News, organizing links and summaries for quick topic
  • Python

79

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill zephyrwang6/myskill --skill topic-collector

  • SKILL.md4.6 KB

Overview

This skill collects and curates daily AI hotspots from multiple online sources to produce a structured, link-rich digest. It focuses on high-value, actionable content across Vibe Coding, Claude ecosystem, AI agents, knowledge management, model updates, and new AI products. Triggered by phrases like “开始今日选题”, “采集热点”, or “今日AI热点”.

How this skill works

The tool runs parallel web searches across Twitter/X, Product Hunt, Reddit, Hacker News, blogs, and major vendor sites to find AI-related posts and releases from the past 24 hours. It classifies items by source type, extracts direct article or post URLs, filters duplicates, and outputs a structured list with one-line summaries and engagement metrics. Priority is given to practical tutorials, tool releases, and vendor model updates.

When to use it

  • When you want a quick, source-linked snapshot of today’s AI news and tool releases.
  • Before planning content or experiments to surface relevant tutorials and workflows.
  • To monitor Claude ecosystem updates, Vibe Coding tips, or model version changes.
  • When scouting Product Hunt or indie releases for new AI products.
  • To keep tabs on Reddit and Hacker News discussions that may affect strategy.

Best practices

  • Require one concrete URL per item and prefer original source links over aggregates.
  • Deduplicate similar reports and merge items with the same origin or topic.
  • Prioritize content published or amplified within the last 24 hours for timeliness.
  • Tag each item with language, source type, and a concise one-line takeaway.
  • Emphasize practical value: tutorials, code snippets, demos, or release notes.

Example use cases

  • Produce a daily email or Slack digest of AI highlights with clickable links and short takeaways.
  • Scout Product Hunt for promising indie AI tools to evaluate or promote.
  • Monitor Claude Skill, MCP server, and Claude Code technique posts for developer updates.
  • Track model vendor blogs for version releases and change logs to inform engineering planning.
  • Aggregate Reddit and Hacker News threads that contain reproducible workflows or breaking news.

FAQ

Priority: Vibe Coding/Claude content, Product Hunt new products, vendor blogs (OpenAI/Anthropic/Google), Reddit/Hacker News discussions, and high-traction arXiv commentary.

How recent must content be to appear?

Default preference is within the last 24 hours; items older than 72 hours are included only if they show significant engagement or unique value.

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