How do I install the Util Youtube Analyzer skill?

Run npx skillmds add tools-only/util-youtube-analyzer in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Util Youtube Analyzer safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Util Youtube Analyzer?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Util Youtube Analyzer free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Util Youtube Analyzer?

tools-only (@tools-only) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Util Youtube Analyzer by tools-only

Name: Util Youtube Analyzer
Rating: 4.2 (5 reviews)
Author: tools-only

Util Youtube Analyzer

Analyze YouTube videos by extracting and processing transcripts. Triggers when user provides a YouTube URL (youtube.com, youtu.be) or asks to analyze, summarize, or extract insights from a YouTube video. Supports both existing captions and local AI transcription via whisper-cpp. Useful for learning from Dreamforce talks, Trail Together sessions, and Salesforce tutorials.

tools-only e085ed6 3 files · 5.3 KB Updated Sep 9, 2026 7 repo stars

File contents

YouTube Video Analyzer

Agentic workflow for extracting and analyzing YouTube video content locally.

Prerequisites

Ensure these are installed (via Homebrew):

yt-dlp — Video/subtitle downloader
ffmpeg — Audio extraction
whisper-cpp — Local transcription (+ model at ~/.local/share/whisper/ggml-base.en.bin)

Agentic Workflow

When a user provides a YouTube URL:

Step 1: Extract Transcript

Run the extraction script from this skill's directory:

${SKILL_DIR}/scripts/yt-transcript.sh "YOUTUBE_URL"

Output: Transcript saved to /tmp/yt-transcript-{video_id}.txt

Step 2: Read the Transcript

Use the Read tool to load the transcript:

Read /tmp/yt-transcript-{video_id}.txt

Step 3: Analyze Based on User Intent

User Request	Analysis Pattern
"Summarize this video"	Structured summary with key points, takeaways
"What are the main topics?"	Topic extraction with timestamps
"Tell me about X"	Search transcript for X, provide context
"Create notes"	Formatted notes with section headers
"Find quotes about Y"	Extract relevant quotations

Script Behavior

The yt-transcript.sh script automatically:

Fast path: Fetches existing YouTube captions (no AI needed, instant)
Fallback: Downloads audio + transcribes locally via whisper-cpp
Cleanup: Converts VTT format to clean plain text

Example Interactions

User: "Summarize this Dreamforce talk: https://youtube.com/watch?v=..." Claude: Runs script → Reads transcript → Provides structured summary

User: "What did they say about Agentforce in this video?" Claude: Runs script → Reads transcript → Searches for Agentforce mentions → Provides context

---name: util-youtube-analyzerdescription: Analyze YouTube videos by extracting and processing transcripts. Triggers when user provides a YouTube URL (youtube.com, youtu.be) or asks to analyze, summarize, or extract insights from a YouTube video. Supports both existing captions and local AI transcription via whisper-cpp. Useful for learning from Dreamforce talks, Trail Together sessions, and Salesforce tutorials.license: MIT--- # YouTube Video Analyzer Agentic workflow for extracting and analyzing YouTube video content locally. ## Prerequisites Ensure these are installed (via Homebrew): - `yt-dlp` — Video/subtitle downloader - `ffmpeg` — Audio extraction - `whisper-cpp` — Local transcription (+ model at `~/.local/share/whisper/ggml-base.en.bin`) ## Agentic Workflow When a user provides a YouTube URL: ### Step 1: Extract Transcript Run the extraction script from this skill's directory: ```bash ${SKILL_DIR}/scripts/yt-transcript.sh "YOUTUBE_URL" ``` **Output:** Transcript saved to `/tmp/yt-transcript-{video_id}.txt` ### Step 2: Read the Transcript Use the Read tool to load the transcript: ``` Read /tmp/yt-transcript-{video_id}.txt ``` ### Step 3: Analyze Based on User Intent | User Request | Analysis Pattern | |--------------|------------------| | "Summarize this video" | Structured summary with key points, takeaways | | "What are the main topics?" | Topic extraction with timestamps | | "Tell me about X" | Search transcript for X, provide context | | "Create notes" | Formatted notes with section headers | | "Find quotes about Y" | Extract relevant quotations | ## Script Behavior The `yt-transcript.sh` script automatically: 1. **Fast path:** Fetches existing YouTube captions (no AI needed, instant) 2. **Fallback:** Downloads audio + transcribes locally via whisper-cpp 3. **Cleanup:** Converts VTT format to clean plain text ## Example Interactions **User:** "Summarize this Dreamforce talk: https://youtube.com/watch?v=..." **Claude:** Runs script → Reads transcript → Provides structured summary **User:** "What did they say about Agentforce in this video?" **Claude:** Runs script → Reads transcript → Searches for Agentforce mentions → Provides context

Frequently asked questions