Create Skill.md

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+---
+name: youtube-transcript
+description: Download YouTube video transcripts when user provides a YouTube URL or asks to download/get/fetch a transcript from YouTube. Also use when user wants to transcribe or get captions/subtitles from a YouTube video.
+allowed-tools:
+  - Bash
+  - Read
+  - Write
+---
+
+# YouTube Transcript Downloader
+
+This skill helps download transcripts (subtitles/captions) from YouTube videos using yt-dlp.
+
+## When to Use This Skill
+
+Activate this skill when the user:
+- Provides a YouTube URL and wants the transcript
+- Asks to "download transcript from YouTube"
+- Wants to "get captions" or "get subtitles" from a video
+- Asks to "transcribe a YouTube video"
+- Needs text content from a YouTube video
+
+## How It Works
+
+### Priority Order:
+1. **Check if yt-dlp is installed** - install if needed
+2. **List available subtitles** - see what's actually available
+3. **Try manual subtitles first** (`--write-sub`) - highest quality
+4. **Fallback to auto-generated** (`--write-auto-sub`) - usually available
+5. **Last resort: Whisper transcription** - if no subtitles exist (requires user confirmation)
+6. **Confirm the download** and show the user where the file is saved
+7. **Optionally clean up** the VTT format if the user wants plain text
+
+## Installation Check
+
+**IMPORTANT**: Always check if yt-dlp is installed first:
+
+```bash
+which yt-dlp || command -v yt-dlp
+```
+
+### If Not Installed
+
+Attempt automatic installation based on the system:
+
+**macOS (Homebrew)**:
+```bash
+brew install yt-dlp
+```
+
+**Linux (apt/Debian/Ubuntu)**:
+```bash
+sudo apt update && sudo apt install -y yt-dlp
+```
+
+**Alternative (pip - works on all systems)**:
+```bash
+pip3 install yt-dlp
+# or
+python3 -m pip install yt-dlp
+```
+
+**If installation fails**: Inform the user they need to install yt-dlp manually and provide them with installation instructions from https://github.com/yt-dlp/yt-dlp#installation
+
+## Check Available Subtitles
+
+**ALWAYS do this first** before attempting to download:
+
+```bash
+yt-dlp --list-subs "YOUTUBE_URL"
+```
+
+This shows what subtitle types are available without downloading anything. Look for:
+- Manual subtitles (better quality)
+- Auto-generated subtitles (usually available)
+- Available languages
+
+## Download Strategy
+
+### Option 1: Manual Subtitles (Preferred)
+
+Try this first - highest quality, human-created:
+
+```bash
+yt-dlp --write-sub --skip-download --output "OUTPUT_NAME" "YOUTUBE_URL"
+```
+
+### Option 2: Auto-Generated Subtitles (Fallback)
+
+If manual subtitles aren't available:
+
+```bash
+yt-dlp --write-auto-sub --skip-download --output "OUTPUT_NAME" "YOUTUBE_URL"
+```
+
+Both commands create a `.vtt` file (WebVTT subtitle format).
+
+## Option 3: Whisper Transcription (Last Resort)
+
+**ONLY use this if both manual and auto-generated subtitles are unavailable.**
+
+### Step 1: Show File Size and Ask for Confirmation
+
+```bash
+# Get audio file size estimate
+yt-dlp --print "%(filesize,filesize_approx)s" -f "bestaudio" "YOUTUBE_URL"
+
+# Or get duration to estimate
+yt-dlp --print "%(duration)s %(title)s" "YOUTUBE_URL"
+```
+
+**IMPORTANT**: Display the file size to the user and ask: "No subtitles are available. I can download the audio (approximately X MB) and transcribe it using Whisper. Would you like to proceed?"
+
+**Wait for user confirmation before continuing.**
+
+### Step 2: Check for Whisper Installation
+
+```bash
+command -v whisper
+```
+
+If not installed, ask user: "Whisper is not installed. Install it with `pip install openai-whisper` (requires ~1-3GB for models)? This is a one-time installation."
+
+**Wait for user confirmation before installing.**
+
+Install if approved:
+```bash
+pip3 install openai-whisper
+```
+
+### Step 3: Download Audio Only
+
+```bash
+yt-dlp -x --audio-format mp3 --output "audio_%(id)s.%(ext)s" "YOUTUBE_URL"
+```
+
+### Step 4: Transcribe with Whisper
+
+```bash
+# Auto-detect language (recommended)
+whisper audio_VIDEO_ID.mp3 --model base --output_format vtt
+
+# Or specify language if known
+whisper audio_VIDEO_ID.mp3 --model base --language en --output_format vtt
+```
+
+**Model Options** (stick to `base` for now):
+- `tiny` - fastest, least accurate (~1GB)
+- `base` - good balance (~1GB) ← **USE THIS**
+- `small` - better accuracy (~2GB)
+- `medium` - very good (~5GB)
+- `large` - best accuracy (~10GB)
+
+### Step 5: Cleanup
+
+After transcription completes, ask user: "Transcription complete! Would you like me to delete the audio file to save space?"
+
+If yes:
+```bash
+rm audio_VIDEO_ID.mp3
+```
+
+## Getting Video Information
+
+### Extract Video Title (for filename)
+
+```bash
+yt-dlp --print "%(title)s" "YOUTUBE_URL"
+```
+
+Use this to create meaningful filenames based on the video title. Clean the title for filesystem compatibility:
+- Replace `/` with `-`
+- Replace special characters that might cause issues
+- Consider using sanitized version: `$(yt-dlp --print "%(title)s" "URL" | tr '/' '-' | tr ':' '-')`
+
+## Post-Processing
+
+### Convert to Plain Text (Recommended)
+
+YouTube's auto-generated VTT files contain **duplicate lines** because captions are shown progressively with overlapping timestamps. Always deduplicate when converting to plain text while preserving the original speaking order.
+
+```bash
+python3 -c "
+import sys, re
+seen = set()
+with open('transcript.en.vtt', 'r') as f:
+    for line in f:
+        line = line.strip()
+        if line and not line.startswith('WEBVTT') and not line.startswith('Kind:') and not line.startswith('Language:') and '-->' not in line:
+            clean = re.sub('<[^>]*>', '', line)
+            clean = clean.replace('&amp;', '&').replace('&gt;', '>').replace('&lt;', '<')
+            if clean and clean not in seen:
+                print(clean)
+                seen.add(clean)
+" > transcript.txt
+```
+
+### Complete Post-Processing with Video Title
+
+```bash
+# Get video title
+VIDEO_TITLE=$(yt-dlp --print "%(title)s" "YOUTUBE_URL" | tr '/' '_' | tr ':' '-' | tr '?' '' | tr '"' '')
+
+# Find the VTT file
+VTT_FILE=$(ls *.vtt | head -n 1)
+
+# Convert with deduplication
+python3 -c "
+import sys, re
+seen = set()
+with open('$VTT_FILE', 'r') as f:
+    for line in f:
+        line = line.strip()
+        if line and not line.startswith('WEBVTT') and not line.startswith('Kind:') and not line.startswith('Language:') and '-->' not in line:
+            clean = re.sub('<[^>]*>', '', line)
+            clean = clean.replace('&amp;', '&').replace('&gt;', '>').replace('&lt;', '<')
+            if clean and clean not in seen:
+                print(clean)
+                seen.add(clean)
+" > "${VIDEO_TITLE}.txt"
+
+echo "✓ Saved to: ${VIDEO_TITLE}.txt"
+
+# Clean up VTT file
+rm "$VTT_FILE"
+echo "✓ Cleaned up temporary VTT file"
+```
+
+## Output Formats
+
+- **VTT format** (`.vtt`): Includes timestamps and formatting, good for video players
+- **Plain text** (`.txt`): Just the text content, good for reading or analysis
+
+## Tips
+
+- The filename will be `{output_name}.{language_code}.vtt` (e.g., `transcript.en.vtt`)
+- Most YouTube videos have auto-generated English subtitles
+- Some videos may have multiple language options
+- If auto-subtitles aren't available, try `--write-sub` instead for manual subtitles
+
+## Complete Workflow Example
+
+```bash
+VIDEO_URL="https://www.youtube.com/watch?v=dQw4w9WgXcQ"
+
+# Get video title for filename
+VIDEO_TITLE=$(yt-dlp --print "%(title)s" "$VIDEO_URL" | tr '/' '_' | tr ':' '-' | tr '?' '' | tr '"' '')
+OUTPUT_NAME="transcript_temp"
+
+# ============================================
+# STEP 1: Check if yt-dlp is installed
+# ============================================
+if ! command -v yt-dlp &> /dev/null; then
+    echo "yt-dlp not found, attempting to install..."
+    if command -v brew &> /dev/null; then
+        brew install yt-dlp
+    elif command -v apt &> /dev/null; then
+        sudo apt update && sudo apt install -y yt-dlp
+    else
+        pip3 install yt-dlp
+    fi
+fi
+
+# ============================================
+# STEP 2: List available subtitles
+# ============================================
+echo "Checking available subtitles..."
+yt-dlp --list-subs "$VIDEO_URL"
+
+# ============================================
+# STEP 3: Try manual subtitles first
+# ============================================
+echo "Attempting to download manual subtitles..."
+if yt-dlp --write-sub --skip-download --output "$OUTPUT_NAME" "$VIDEO_URL" 2>/dev/null; then
+    echo "✓ Manual subtitles downloaded successfully!"
+    ls -lh ${OUTPUT_NAME}.*
+else
+    # ============================================
+    # STEP 4: Fallback to auto-generated
+    # ============================================
+    echo "Manual subtitles not available. Trying auto-generated..."
+    if yt-dlp --write-auto-sub --skip-download --output "$OUTPUT_NAME" "$VIDEO_URL" 2>/dev/null; then
+        echo "✓ Auto-generated subtitles downloaded successfully!"
+        ls -lh ${OUTPUT_NAME}.*
+    else
+        # ============================================
+        # STEP 5: Last resort - Whisper transcription
+        # ============================================
+        echo "⚠ No subtitles available for this video."
+
+        # Get file size
+        FILE_SIZE=$(yt-dlp --print "%(filesize_approx)s" -f "bestaudio" "$VIDEO_URL")
+        DURATION=$(yt-dlp --print "%(duration)s" "$VIDEO_URL")
+        TITLE=$(yt-dlp --print "%(title)s" "$VIDEO_URL")
+
+        echo "Video: $TITLE"
+        echo "Duration: $((DURATION / 60)) minutes"
+        echo "Audio size: ~$((FILE_SIZE / 1024 / 1024)) MB"
+        echo ""
+        echo "Would you like to download and transcribe with Whisper? (y/n)"
+        read -r RESPONSE
+
+        if [[ "$RESPONSE" =~ ^[Yy]$ ]]; then
+            # Check for Whisper
+            if ! command -v whisper &> /dev/null; then
+                echo "Whisper not installed. Install now? (requires ~1-3GB) (y/n)"
+                read -r INSTALL_RESPONSE
+                if [[ "$INSTALL_RESPONSE" =~ ^[Yy]$ ]]; then
+                    pip3 install openai-whisper
+                else
+                    echo "Cannot proceed without Whisper. Exiting."
+                    exit 1
+                fi
+            fi
+
+            # Download audio
+            echo "Downloading audio..."
+            yt-dlp -x --audio-format mp3 --output "audio_%(id)s.%(ext)s" "$VIDEO_URL"
+
+            # Get the actual audio filename
+            AUDIO_FILE=$(ls audio_*.mp3 | head -n 1)
+
+            # Transcribe
+            echo "Transcribing with Whisper (this may take a few minutes)..."
+            whisper "$AUDIO_FILE" --model base --output_format vtt
+
+            # Cleanup
+            echo "Transcription complete! Delete audio file? (y/n)"
+            read -r CLEANUP_RESPONSE
+            if [[ "$CLEANUP_RESPONSE" =~ ^[Yy]$ ]]; then
+                rm "$AUDIO_FILE"
+                echo "Audio file deleted."
+            fi
+
+            ls -lh *.vtt
+        else
+            echo "Transcription cancelled."
+            exit 0
+        fi
+    fi
+fi
+
+# ============================================
+# STEP 6: Convert to readable plain text with deduplication
+# ============================================
+VTT_FILE=$(ls ${OUTPUT_NAME}*.vtt 2>/dev/null || ls *.vtt | head -n 1)
+if [ -f "$VTT_FILE" ]; then
+    echo "Converting to readable format and removing duplicates..."
+    python3 -c "
+import sys, re
+seen = set()
+with open('$VTT_FILE', 'r') as f:
+    for line in f:
+        line = line.strip()
+        if line and not line.startswith('WEBVTT') and not line.startswith('Kind:') and not line.startswith('Language:') and '-->' not in line:
+            clean = re.sub('<[^>]*>', '', line)
+            clean = clean.replace('&amp;', '&').replace('&gt;', '>').replace('&lt;', '<')
+            if clean and clean not in seen:
+                print(clean)
+                seen.add(clean)
+" > "${VIDEO_TITLE}.txt"
+    echo "✓ Saved to: ${VIDEO_TITLE}.txt"
+
+    # Clean up temporary VTT file
+    rm "$VTT_FILE"
+    echo "✓ Cleaned up temporary VTT file"
+else
+    echo "⚠ No VTT file found to convert"
+fi
+
+echo "✓ Complete!"
+```
+
+**Note**: This complete workflow handles all scenarios with proper error checking and user prompts at each decision point.
+
+## Error Handling
+
+### Common Issues and Solutions:
+
+**1. yt-dlp not installed**
+- Attempt automatic installation based on system (Homebrew/apt/pip)
+- If installation fails, provide manual installation link
+- Verify installation before proceeding
+
+**2. No subtitles available**
+- List available subtitles first to confirm
+- Try both `--write-sub` and `--write-auto-sub`
+- If both fail, offer Whisper transcription option
+- Show file size and ask for user confirmation before downloading audio
+
+**3. Invalid or private video**
+- Check if URL is correct format: `https://www.youtube.com/watch?v=VIDEO_ID`
+- Some videos may be private, age-restricted, or geo-blocked
+- Inform user of the specific error from yt-dlp
+
+**4. Whisper installation fails**
+- May require system dependencies (ffmpeg, rust)
+- Provide fallback: "Install manually with: `pip3 install openai-whisper`"
+- Check available disk space (models require 1-10GB depending on size)
+
+**5. Download interrupted or failed**
+- Check internet connection
+- Verify sufficient disk space
+- Try again with `--no-check-certificate` if SSL issues occur
+
+**6. Multiple subtitle languages**
+- By default, yt-dlp downloads all available languages
+- Can specify with `--sub-langs en` for English only
+- List available with `--list-subs` first
+
+### Best Practices:
+
+- ✅ Always check what's available before attempting download (`--list-subs`)
+- ✅ Verify success at each step before proceeding to next
+- ✅ Ask user before large downloads (audio files, Whisper models)
+- ✅ Clean up temporary files after processing
+- ✅ Provide clear feedback about what's happening at each stage
+- ✅ Handle errors gracefully with helpful messages