YouTube Research

SkillSearch

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the YouTube Research skill

What this skill tells your AI

The instructions your AI receives, as published by sandbaseai/sandbase-skills in research/youtube-research/SKILL.md and read by ahel’s review.

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."

Signals

GitHub stars
164
Forks
12
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
youtube-research-sandbaseai
Source
github.com/sandbaseai/sandbase-skills