Skip to content
Agentmart
Submit a tool

youtube-research

Search videos, analyze channels, extract captions, read comments, and discover trends on YouTube through SandBase.

Skill by sandbaseai

IndexedApache-2.0★ 201
Write a review

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/sandbaseai-youtube-research

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

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.

Use cases: writing, research

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/youtube-research

What's inside

Skill name
youtube-research
Description
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.
License
Apache-2.0
Instructions
51 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • sandbase-api-map.md · references/

SKILL.md (first lines)

# 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](references/sandbase-api-map.md) before selecting a capability.

## Call SandBase capabilities

Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with `sandbase_discover(q: "<provider and capability>")`; use its returned `name` in `sandbase_inspect(name: "<returned name>")`. Read `inputSchema`, pricing, and `execute_as`, then call `sandbase_run` using `execute_as.arguments.name` and schema-defined `arguments`. If a `run_id` is returned, poll `sandbase_run_get(run_id: "<returned run_id>")` within the task budget until `completed` or `failed`; report pending or failed runs without resubmitting them automatically.

## 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."

From sandbaseai/sandbase-skills, Apache-2.0.

More from sandbaseai/sandbase-skills

Signals

Stars
201
Forks
21
Open issues
1
Last commit (this folder)
Sep 8, 2026 (1 month ago)
Last release
Aug 20, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from sandbaseai

Cite this page

youtube-research skill. Agent Mart. https://agentmart.dev/skills/sandbaseai-youtube-research (last updated 2026-10-24)