youtube-summarizer

What this skill does

# youtube-summarizer

## Purpose

This skill extracts transcripts from YouTube videos and generates comprehensive, verbose summaries using the STAR + R-I-S-E framework. It validates video availability, extracts transcripts using the `youtube-transcript-api` Python library, and produces detailed documentation capturing all insights, arguments, and key points.

The skill is designed for users who need thorough content analysis and reference documentation from educational videos, lectures, tutorials, or informational content.

## When to Use This Skill

This skill should be used when:

- User provides a YouTube video URL and wants a detailed summary
- User needs to document video content for reference without rewatching
- User wants to extract insights, key points, and arguments from educational content
- User needs transcripts from YouTube videos for analysis
- User asks to "summarize", "resume", or "extract content" from YouTube videos
- User wants comprehensive documentation prioritizing completeness over brevity

## Step 0: Discovery & Setup

Before processing videos, validate the environment and dependencies:

```bash
# Check if youtube-transcript-api is installed
python3 -c "import youtube_transcript_api" 2>/dev/null
if [ $? -ne 0 ]; then
    echo "⚠️  youtube-transcript-api not found"
    # Offer to install
fi

# Check Python availability
if ! command -v python3 &>/dev/null; then
    echo "❌ Python 3 is required but not installed"
    exit 1
fi
```

**Ask the user if dependency is missing:**

```
youtube-transcript-api is required but not installed.

Would you like to install it now?
- [ ] Yes - Install with pip (pip install youtube-transcript-api)
- [ ] No - I'll install it manually
```

**If user selects "Yes":**

```bash
pip install youtube-transcript-api
```

**Verify installation:**

```bash
python3 -c "import youtube_transcript_api; print('✅ youtube-transcript-api installed successfully')"
```

## Main Workflow

### Progress Tracking Guidelines

Throughout the workflow, display a visual progress gauge before each step to keep the user informed. The gauge format is:

```bash
echo "[████░░░░░░░░░░░░░░░░] 20% - Step 1/5: Validating URL"
```

**Format specifications:**
- 20 characters wide (use █ for filled, ░ for empty)
- Percentage increments: Step 1=20%, Step 2=40%, Step 3=60%, Step 4=80%, Step 5=100%
- Step counter showing current/total (e.g., "Step 3/5")
- Brief description of current phase

**Display the initial status box before Step 1:**

```
╔══════════════════════════════════════════════════════════════╗
║     📹  YOUTUBE SUMMARIZER - Processing Video                ║
╠══════════════════════════════════════════════════════════════╣
║ → Step 1: Validating URL                 [IN PROGRESS]       ║
║ ○ Step 2: Checking Availability                              ║
║ ○ Step 3: Extracting Transcript                              ║
║ ○ Step 4: Generating Summary                                 ║
║ ○ Step 5: Formatting Output                                  ║
╠══════════════════════════════════════════════════════════════╣
║ Progress: ██████░░░░░░░░░░░░░░░░░░░░░░░░  20%               ║
╚══════════════════════════════════════════════════════════════╝
```

### Step 1: Validate YouTube URL

**Objective:** Extract video ID and validate URL format.

**Supported URL Formats:**
- `https://www.youtube.com/watch?v=VIDEO_ID`
- `https://youtube.com/watch?v=VIDEO_ID`
- `https://youtu.be/VIDEO_ID`
- `https://m.youtube.com/watch?v=VIDEO_ID`

**Actions:**

```bash
# Extract video ID using regex or URL parsing
URL="$USER_PROVIDED_URL"

# Pattern 1: youtube.com/watch?v=VIDEO_ID
if echo "$URL" | grep -qE 'youtube\.com/watch\?v='; then
    VIDEO_ID=$(echo "$URL" | sed -E 's/.*[?&]v=([^&]+).*/\1/')
# Pattern 2: youtu.be/VIDEO_ID  
elif echo "$URL" | grep -qE 'youtu\.be/'; then
    VIDEO_ID=$(echo "$URL" | sed -E 's/.*youtu\.be\/([^?]+).*/\1/')
else
    echo "❌ Invalid YouTube URL format"
    exit 1
fi

echo "📹 Video ID extracted: $VIDEO_ID"
```

**If URL is invalid:**

```
❌ Invalid YouTube URL

Please provide a valid YouTube URL in one of these formats:
- https://www.youtube.com/watch?v=VIDEO_ID
- https://youtu.be/VIDEO_ID

Example: https://www.youtube.com/watch?v=dQw4w9WgXcQ
```

### Step 2: Check Video & Transcript Availability

**Progress:**
```bash
echo "[████████░░░░░░░░░░░░] 40% - Step 2/5: Checking Availability"
```

**Objective:** Verify video exists and transcript is accessible.

**Actions:**

```python
from youtube_transcript_api import YouTubeTranscriptApi, TranscriptsDisabled, NoTranscriptFound
import sys

video_id = sys.argv[1]

try:
    # Get list of available transcripts
    transcript_list = YouTubeTranscriptApi.list_transcripts(video_id)
    
    print(f"✅ Video accessible: {video_id}")
    print("📝 Available transcripts:")
    
    for transcript in transcript_list:
        print(f"  - {transcript.language} ({transcript.language_code})")
        if transcript.is_generated:
            print("    [Auto-generated]")
    
except TranscriptsDisabled:
    print(f"❌ Transcripts are disabled for video {video_id}")
    sys.exit(1)
    
except NoTranscriptFound:
    print(f"❌ No transcript found for video {video_id}")
    sys.exit(1)
    
except Exception as e:
    print(f"❌ Error accessing video: {e}")
    sys.exit(1)
```

**Error Handling:**

| Error | Message | Action |
|-------|---------|--------|
| Video not found | "❌ Video does not exist or is private" | Ask user to verify URL |
| Transcripts disabled | "❌ Transcripts are disabled for this video" | Cannot proceed |
| No transcript available | "❌ No transcript found (not auto-generated or manually added)" | Cannot proceed |
| Private/restricted video | "❌ Video is private or restricted" | Ask for public video |

### Step 3: Extract Transcript

**Progress:**
```bash
echo "[████████████░░░░░░░░] 60% - Step 3/5: Extracting Transcript"
```

**Objective:** Retrieve transcript in preferred language.

**Actions:**

```python
from youtube_transcript_api import YouTubeTranscriptApi

video_id = "VIDEO_ID"

try:
    # Try to get transcript in user's preferred language first
    # Fall back to English if not available
    transcript = YouTubeTranscriptApi.get_transcript(
        video_id, 
        languages=['pt', 'en']  # Prefer Portuguese, fallback to English
    )
    
    # Combine transcript segments into full text
    full_text = " ".join([entry['text'] for entry in transcript])
    
    # Get video metadata
    from youtube_transcript_api import YouTubeTranscriptApi
    transcript_list = YouTubeTranscriptApi.list_transcripts(video_id)
    
    print("✅ Transcript extracted successfully")
    print(f"📊 Transcript length: {len(full_text)} characters")
    
    # Save to temporary file for processing
    with open(f"/tmp/transcript_{video_id}.txt", "w") as f:
        f.write(full_text)
    
except Exception as e:
    print(f"❌ Error extracting transcript: {e}")
    exit(1)
```

**Transcript Processing:**

- Combine all transcript segments into coherent text
- Preserve punctuation and formatting where available
- Remove duplicate or overlapping segments (if auto-generated artifacts)
- Store in temporary file for analysis

### Step 4: Generate Comprehensive Summary

**Progress:**
```bash
echo "[████████████████░░░░] 80% - Step 4/5: Generating Summary"
```

**Objective:** Apply enhanced STAR + R-I-S-E prompt to create detailed summary.

**Prompt Applied:**

Use the enhanced prompt from Phase 2 (STAR + R-I-S-E framework) with the extracted transcript as input.

**Actions:**

1. Load the full transcript text
2. Apply the comprehensive summarization prompt
3. Use AI model (Claude/GPT) to generate structured summary
4. Ensure output follows the defined structure:
   - Header with video metadata
   - Executive synthesis
   - Detailed section-by-section breakdown
   - Key insights and conclusions
   - Concepts and terminology
   - Resources and references

**Implementation:**

```bash
# Use the transcript fi