Video

Video & Podcast Digest Skill

Send a video/podcast link → get full transcript + structured summary

Supported Platforms

Trigger

Auto-triggered when a media URL is detected:

• YouTube: youtube.com, youtu.be
• Bilibili: bilibili.com, b23.tv
• X/Twitter: x.com, twitter.com (tweets with video)
• Xiaoyuzhou: xiaoyuzhoufm.com
• Apple Podcasts: podcasts.apple.com
• Direct: .mp3, .mp4, .m3u8, .m4a, .webm

Pipeline

Step 0: Detect Media Type

Step 1a: Video — Extract Subtitles

rm -f /tmp/media_sub*.vtt /tmp/media_audio.mp3 /tmp/media_transcript*.json /tmp/media_segment_*.mp3 2>/dev/null || true

# YouTube (prefer English, fallback Chinese)
yt-dlp --skip-download --write-auto-sub --sub-lang "en,zh-Hans" -o "/tmp/media_sub" "VIDEO_URL"

# Bilibili
yt-dlp --skip-download --write-auto-sub --sub-lang "zh-Hans,zh" -o "/tmp/media_sub" "VIDEO_URL"

Check for subtitles:

ls /tmp/media_sub*.vtt 2>/dev/null

• Has subtitles → Read VTT content, skip to Step 3
• No subtitles → Step 2a (download audio)

Step 1b: Xiaoyuzhou (小宇宙) — Extract Audio URL

AUDIO_URL=$(curl -sL -H "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36" \
  "EPISODE_URL" \
  | grep -oE 'https://media\.xyzcdn\.net/[^"]+\.(m4a|mp3)' \
  | head -1)

echo "Audio URL: $AUDIO_URL"
curl -L -o /tmp/media_audio.mp3 "$AUDIO_URL"

→ Step 2b

Step 1c: Apple Podcasts — via yt-dlp

yt-dlp -f "ba[ext=m4a]/ba/b" --extract-audio --audio-format mp3 --audio-quality 5 \
  -o "/tmp/media_audio.%(ext)s" "APPLE_PODCAST_URL"

→ Step 2b

Step 1d: Bilibili — API Direct Audio Stream

BV="BV1xxxxx"

curl -s "https://api.bilibili.com/x/web-interface/view?bvid=$BV" \
  -H "User-Agent: Mozilla/5.0" -H "Referer: https://www.bilibili.com/" \
  | python3 -c "import json,sys; d=json.load(sys.stdin)['data']; print(f\"Title: {d['title']}\nDuration: {d['duration']}s\nCID: {d['cid']}\")"

CID=<CID from previous step>
AUDIO_URL=$(curl -s "https://api.bilibili.com/x/player/playurl?bvid=$BV&cid=$CID&fnval=16&qn=64" \
  -H "User-Agent: Mozilla/5.0" -H "Referer: https://www.bilibili.com/" \
  | python3 -c "import json,sys; print(json.load(sys.stdin)['data']['dash']['audio'][0]['baseUrl'])")

curl -L -o /tmp/media_audio.m4s \
  -H "User-Agent: Mozilla/5.0" -H "Referer: https://www.bilibili.com/" "$AUDIO_URL"
ffmpeg -y -i /tmp/media_audio.m4s -acodec libmp3lame -q:a 5 /tmp/media_audio.mp3

→ Step 2b

Step 2a: Video — Download Audio (when no subtitles)

yt-dlp --cookies-from-browser chrome -f "ba[ext=m4a]/ba/b" --extract-audio --audio-format mp3 --audio-quality 5 \
  -o "/tmp/media_audio.%(ext)s" "VIDEO_URL"

Step 2b: Check Audio Size & Segment

FILE_SIZE=$(stat -f%z /tmp/media_audio.* 2>/dev/null || stat -c%s /tmp/media_audio.* 2>/dev/null)
echo "File size: $FILE_SIZE bytes"

• ≤ 25MB → Step 2c (transcribe directly)
• > 25MB → Split into 10-minute segments:

DURATION=$(ffprobe -v error -show_entries format=duration -of csv=p=0 /tmp/media_audio.* | head -1)
SEGMENT_SEC=600
SEGMENTS=$(python3 -c "import math; print(math.ceil(float('$DURATION')/$SEGMENT_SEC))")

for i in $(seq 0 $((SEGMENTS-1))); do
  START=$((i * SEGMENT_SEC))
  ffmpeg -y -i /tmp/media_audio.* -ss $START -t $SEGMENT_SEC -acodec libmp3lame -q:a 5 \
    "/tmp/media_segment_${i}.mp3" 2>/dev/null
done

→ Call Step 2c for each segment sequentially (parallel triggers Groq 524 timeout)

Step 2c: Whisper Transcription

Prerequisite: GROQ_API_KEY environment variable

if [ -z "$GROQ_API_KEY" ]; then
  echo "❌ GROQ_API_KEY not set. Get one at: https://console.groq.com/keys"
  exit 1
fi

curl -s -X POST "https://api.groq.com/openai/v1/audio/transcriptions" \
  -H "Authorization: Bearer $GROQ_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F "file=@AUDIO_FILE" \
  -F "model=whisper-large-v3-turbo" \
  -F "response_format=verbose_json" \
  -F "language=zh" \
  > /tmp/media_transcript.json

python3 -c "import json; print(json.load(open('/tmp/media_transcript.json'))['text'])"

Step 3: Structured Summary

Video (≤20 min):

1. Overview (1-2 sentences)
2. Key Points (3-5 bullet points)
3. Notable Quotes (if any)
4. Action Items (if applicable)

Podcast (>20 min):

1. Overview (2-3 sentences)
2. Chapter Summary (segmented by topic)
3. Key Points (5-8 bullet points)
4. Notable Quotes
5. Action Items (if applicable)

Error Handling

Dependencies

• yt-dlp: video download + subtitle extraction
• ffmpeg: audio conversion + segmentation
• curl: audio download, API calls
• GROQ_API_KEY: Whisper transcription (free at https://console.groq.com/keys)