Youtube Viral Topic logo

Youtube Viral Topic

Community
kangarooking
youtube-viral-topic

Find recent viral YouTube videos for account-growth topic selection. Use when the user asks for YouTube 爆款, YouTube hot videos, 起号选题 from YouTube, niche video references, recent high-view videos, or videos ranked by views, likes, comments, freshness, and topic relevance without low-follower filtering.

Overview

Publisherkangarooking
Repositorykangarooking-skills
Skill nameyoutube-viral-topic
Stars
662
Forks
110
Bundled files
4
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by kangarooking on GitHub. Read the source before you install it.

Installation

Install the Youtube Viral Topic AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/kangarooking/kangarooking-skills/tree/main/viral-topic/youtube-viral-topic
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kangarooking/kangarooking-skills.git /tmp/kangarooking-skills
mkdir -p .claude/skills
cp -r /tmp/kangarooking-skills/viral-topic/youtube-viral-topic .claude/skills/youtube-viral-topic
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Youtube Viral Topic in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Youtube Viral Topic on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Youtube Viral Topic is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

YouTube Viral Topic

Use this skill to find recent YouTube videos that are already performing strongly in a niche. Do not make low-subscriber status the default logic.

Quick Start

Run the bundled script from this skill directory:

bash
python3 scripts/search_youtube_viral_topic.py --topic "AI agent,Claude Code" --days 30 --min-views 10000 --limit 50 --format markdown

Required environment for live API calls:

bash
export YOUTUBE_API_KEY="..."

You can also pass --api-key explicitly for one-off runs. Never write API keys into skill files or output artifacts.

Workflow

  1. Convert the user's niche into concise query clusters.
  2. Call YouTube search.list with type=video, order=viewCount, and publishedAfter for the requested recent window.
  3. Deduplicate video ids across queries.
  4. Batch-enrich videos through videos.list for statistics and metadata.
  5. Batch-enrich channels through channels.list for public subscriber counts.
  6. Filter only by viral strength:
    • view_count >= --min-views
    • like_count + comment_count * 2 >= --min-engagement only when the user sets --min-engagement
  7. Rank by viral_score, then view_count, then like_view_rate.
  8. Return JSON for automation or Markdown for human topic review.

Output Contract

Each result must preserve the source URL, video metrics, and optional channel context:

json
{
  "platform": "youtube",
  "content_id": "",
  "url": "",
  "title": "",
  "author_id": "",
  "author_name": "",
  "subscriber_count": 0,
  "published_at": "",
  "view_count": 0,
  "like_count": 0,
  "comment_count": 0,
  "hot_score": 0,
  "viral_score": 0,
  "evidence": []
}

For cross-platform tables, follower_count is still populated with YouTube channel subscribers when available, but it is not a default filter.

Read references/scoring.md before changing thresholds or combining YouTube results with other platforms.

Guardrails

  • Do not call the default output "low-fan" or "low-subscriber" results.
  • Treat subscriberCount as public rounded/abbreviated subscriber data, useful only as context.
  • If hiddenSubscriberCount is true or subscriber count is missing, keep the video eligible as long as it passes the viral filters.
  • Prefer API collection over browser scraping. Browser sessions should only be used when the user explicitly asks.
  • Use videos as topic signals, structure references, and hook references. Do not copy scripts or captions wholesale.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Youtube Viral Topic AI skill do?

Find recent viral YouTube videos for account-growth topic selection. Use when the user asks for YouTube 爆款, YouTube hot videos, 起号选题 from YouTube, niche video references, recent high-view videos, or videos ranked by views, likes, comments, freshness, and topic relevance without low-follower filtering.

Why use Youtube Viral Topic on TypingMind?

Because you install it once and use it with any model. Youtube Viral Topic is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Youtube Viral Topic in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/kangarooking-skills/tree/main/viral-topic/youtube-viral-topic. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Youtube Viral Topic?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Youtube Viral Topic?

As many as you like. As long as a model supports skills, you can use Youtube Viral Topic with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Youtube Viral Topic AI skill free?

It is published on GitHub by kangarooking. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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