Extract actionable insights and summaries from YouTube videos or transcript files without watching a single minute.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install youtube-content-analyzer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install youtube-content-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is YouTube Content Analyzer?
The YouTube Content Analyzer is a powerful utility within the Openclaw Skills collection designed to transform video content into structured, readable intelligence. By processing YouTube URLs or local transcript files in SRT, VTT, or TXT formats, this tool automates the heavy lifting of content consumption. It identifies core themes, extracts significant quotes, and provides detailed statistics on the source material.
Built for researchers, developers, and content creators, this skill enables users to digest high volumes of video data programmatically. Whether you are building a knowledge base or just need a quick recap of a long webinar, this Openclaw Skills component provides the technical framework to do so without manual effort.
YouTube Content Analyzer Use Cases
- Summarizing long educational tutorials or webinars to capture essential learning points quickly.
- Extracting key takeaways and product features from video reviews for market research.
- Performing batch analysis on a folder of transcripts to identify recurring topics across a specific channel.
- Reading video content in text format when watching is not an option or for better accessibility.
How YouTube Content Analyzer Works
- The user provides input via a YouTube URL, a local subtitle file, or a path to a folder containing multiple transcripts.
- The script fetches the subtitle data or reads the provided files directly.
- For videos exceeding 30 minutes, the analyzer automatically partitions the text into smaller chunks to ensure high-quality, context-aware processing.
- The content is analyzed to identify the summary, key points, main topics (tags), and notable quotes.
- The system generates a structured report file in the designated output directory for easy retrieval.
YouTube Content Analyzer Setup
You can install this skill from the Openclaw Skills repository using the following commands:
# macOS / Linux
mkdir -p ~/.agents/skills/youtube-content-analyzer/scripts
curl -o ~/.agents/skills/youtube-content-analyzer/SKILL.md \
https://raw.githubusercontent.com/mcbaivn/openclaw-skills-mcbai/main/skills/youtube/youtube-content-analyzer/SKILL.md
curl -o ~/.agents/skills/youtube-content-analyzer/scripts/analyze_content.py \
https://raw.githubusercontent.com/mcbaivn/openclaw-skills-mcbai/main/skills/youtube/youtube-content-analyzer/scripts/analyze_content.py
# Windows
$skillDir = "$env:USERPROFILE\.agents\skills\youtube-content-analyzer"
New-Item -ItemType Directory -Force $skillDir | Out-Null
Invoke-WebRequest -Uri "https://raw.githubusercontent.com/mcbaivn/openclaw-skills-mcbai/main/skills/youtube/youtube-content-analyzer/SKILL.md" -OutFile "$skillDir\SKILL.md"
New-Item -ItemType Directory -Force "$skillDir\scripts" | Out-Null
Invoke-WebRequest -Uri "https://raw.githubusercontent.com/mcbaivn/openclaw-skills-mcbai/main/skills/youtube/youtube-content-analyzer/scripts/analyze_content.py" -OutFile "$skillDir\scripts\analyze_content.py"
YouTube Content Analyzer Data Schema & Taxonomy
The skill organizes generated data into a specific folder structure for better management:
| Location | Content Description |
|---|---|
Youtube_Analysis/ |
Root directory for all generated reports. |
[Video_Title]_analysis_DD_MM_YYYY.txt |
Detailed report containing summary, key points, tags, quotes, and statistics. |
Each generated report includes metadata such as video duration, detected language, and information density metrics.
YouTube Content Analyzer Advanced Features
- Intelligent Chunking: Automatically handles long-form content by splitting data into manageable segments.
- Batch Processing: Analyze entire directories of subtitle files in a single execution for large-scale research.
- Multi-Source Input: Support for direct YouTube URLs as well as local SRT, VTT, and TXT files.
- Ecosystem Integration: Designed to work in tandem with other Openclaw Skills such as the youtube-subtitle-extractor for a complete content pipeline.
SKILL.md
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