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.

16 stars

Best use case

youtube-ai-digest is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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.

Teams using youtube-ai-digest should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/youtube-ai-digest/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/data-ai/youtube-ai-digest/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/youtube-ai-digest/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How youtube-ai-digest Compares

Feature / Agentyoutube-ai-digestStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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

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

Output: `data/videos.json` with filtered video list.

### 2. Get Transcript

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

Output: `data/transcript_{VIDEO_ID}.txt` and `.json`.

### 3. Generate Report

```bash
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:

```json
{
  "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

```markdown
# [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.

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