Use when you have a written implementation plan to execute in a separate session with review checkpoints
util-youtube-analyzer
41
5
# Install this skill:
npx skills add Jaganpro/sf-skills --skill "util-youtube-analyzer"
Install specific skill from multi-skill repository
# Description
>
# SKILL.md
name: util-youtube-analyzer
description: >
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
metadata:
version: "1.0.0"
author: "Jag Valaiyapathy"
category: "utility"
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:
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
# Related Skills
Use when starting any conversation - establishes how to find and use skills, requiring Skill...
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# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Amp
Antigravity
Claude Code
Clawdbot
Codex
Cursor
Droid
Gemini CLI
GitHub Copilot
Goose
Kilo Code
Kiro CLI
OpenCode
Roo Code
Trae
Windsurf
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.