Awesome-omni-skill youtube-ai-digest

Browses AI-related YouTube videos from subscribed channels, fetches transcripts, generates summaries, and creates Markdown reports. Use when the user mentions YouTube AI videos, video summaries, channel subscriptions, or asks about recent AI content from YouTube creators.

install

source · Clone the upstream repo

git clone https://github.com/diegosouzapw/awesome-omni-skill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data-ai/youtube-ai-digest" ~/.claude/skills/diegosouzapw-awesome-omni-skill-youtube-ai-digest && rm -rf "$T"

manifest: skills/data-ai/youtube-ai-digest/SKILL.md

source content

YouTube AI Digest

Browse subscribed YouTube channels for AI-related videos, extract transcripts, and generate structured Markdown reports.

Prerequisites

Python 3.9+
yt-dlp (
```
pip install yt-dlp
```
)

Quick Start

1. Fetch Recent Videos

python scripts/fetch_videos.py --days 7 --keyword AI

Output:

data/videos.json

with filtered video list.

2. Get Transcript

python scripts/get_transcript.py --video-id VIDEO_ID

Output:

data/transcript_{VIDEO_ID}.txt

and

.json

3. Generate Report

python scripts/generate_report.py --video-id VIDEO_ID --summary "Your summary here"

Output:

data/output/{VIDEO_ID}/report.md

with thumbnail.

Configuration

Edit

data/channels.json

to manage subscribed channels:

{
  "channels": [
    {"name": "Two Minute Papers", "id": "UCbfYPyITQ-7l4upoX8nvctg"},
    {"name": "AI Explained", "id": "UCNJ1Ymd5yFuUPtn21xtRbbw"}
  ]
}

Find channel IDs from YouTube channel URLs:

youtube.com/channel/{CHANNEL_ID}

Workflow

Copy this checklist to track progress:

Task Progress:
- [ ] Step 1: Fetch recent videos from channels
- [ ] Step 2: Review video list and select target
- [ ] Step 3: Get transcript for selected video
- [ ] Step 4: Analyze transcript and create summary
- [ ] Step 5: Generate Markdown report

Step 1: Fetch recent videos

Run

python scripts/fetch_videos.py --days 7

to get videos from the past week.

Step 2: Review and select

Check

data/videos.json

for available videos. Select one for analysis.

Step 3: Get transcript

Run

python scripts/get_transcript.py --video-id {ID}

to download subtitles.

Step 4: Analyze and summarize

Read the transcript file and create a concise summary covering:

Main topics discussed
Key insights and takeaways
Notable timestamps

Step 5: Generate report

Run

python scripts/generate_report.py --video-id {ID} --summary "..."

to create the final Markdown report.

Output Format

# [Video Title]

![Thumbnail](thumbnail.webp)

## Video Info
- Channel: [Name]
- Published: [Date]
- Duration: [Length]
- Link: [URL]

## Summary
[AI-generated summary of content]

## Transcript
[Timestamped transcript excerpt]

Scripts Reference

Script	Purpose	Output
`fetch_videos.py`	Fetch channel videos	`data/videos.json`
`get_transcript.py`	Download subtitles	`data/transcript_*.txt/json`
`generate_report.py`	Create Markdown report	`data/output/*/report.md`

Error Handling

No transcript available: Some videos lack subtitles. Check if auto-generated captions exist.

Rate limiting: Add delays between requests if fetching many channels.

Network issues: Retry with

--days 1

for fewer results.