mcpbeat Sign in

Youtube Research Agent Skill

Search videos, analyze channels, extract captions, read comments, and discover trends on YouTube through SandBase. Use when asked for YouTube research, video discovery, channel analysis, content strategy research, comment sentiment, or video transcript extraction.

1k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
104
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/sandbaseai/sandbase-skills --skill youtube-research

What comes with it

1 532 bytes besides the instruction
references/sandbase-api-map.md

The instruction itself

9 sections, as written by the author

YouTube Research

Comprehensive YouTube content research through SandBase. Search videos and channels, analyze engagement, extract captions for content analysis, and discover trends. Read the API map before selecting a capability.

Call SandBase capabilities

For every selected tool, call sandbase_describe_tool first and use only arguments in its current input schema. Then call sandbase_call_tool with the exact tool_name.

Operating principles

  • Use YouTube data for content research and competitive intelligence, not for manipulation.
  • Preserve attribution: include video URLs, channel names, view counts, and dates.
  • Separate metrics (views, likes, comments) from qualitative judgments about content quality.
  • Captions are useful for topic extraction but may contain transcription errors.

Workflow

1. Search and discover

Use youtube_web_v2_general_search for keyword/topic video discovery.

Use youtube_web_v2_search_channels to find channels in a niche.

Use youtube_web_v2_search_suggestions for query expansion and trend signals.

Use youtube_web_v2_shorts_search for short-form content discovery.

2. Analyze videos

Use youtube_web_v2_video_info for detailed video metadata and metrics.

Use youtube_web_v2_video_comments and youtube_web_v2_video_comment_replies for audience sentiment.

Use youtube_web_v2_video_captions to extract transcripts for content analysis.

Use youtube_web_v2_related_videos to understand recommendation patterns.

3. Analyze channels

Use youtube_web_v2_channel_videos for a channel's content catalog.

Use youtube_web_v2_channel_description for channel positioning.

Use youtube_web_v2_channel_shorts for short-form strategy analysis.

Use youtube_web_v2_channel_community_posts for community engagement.

Output

Return: search results summary, top videos with metrics, channel analysis, content patterns, audience sentiment from comments, and trend indicators.

Example tasks

  • "Find the most popular videos about [topic] in the last month."
  • "Analyze [channel name]'s content strategy — posting frequency, top performers, topics."
  • "Extract the transcript from this YouTube video: [URL]."
  • "What are people saying in the comments of [video URL]?"
  • "Find YouTube channels covering [niche] with 10K-100K subscribers."

How to use it

Copy the folder

Take sandbaseai/youtube-research from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.