YouTube ASR Summarize (Local)

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name: youtube-asr-summarize description: "Summarize YouTube videos with NO subtitles by doing local ASR (yt-dlp + faster-whisper) and extracting a few screenshot frames via ffmpeg. Use when the user asks to summarize the latest video from a channel and YouTube timedtext/subtitles are empty, or when no API tokens/keys should be used."

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YouTube ASR Summarize (local, no tokens)

Use this skill to summarize a YouTube video *even when subtitles are missing* by downloading audio and running local speech-to-text.

Quick start

1) One-time deps

brew install yt-dlp ffmpeg

2) Create venv + install ASR

python3 -m venv .venv
source .venv/bin/activate
pip install faster-whisper

3) Run

python3 scripts/youtube_asr_summarize.py \
  --url "https://www.youtube.com/watch?v=" \
  --out "/tmp/youtube-asr/" \
  --model small \
  --lang zh \
  --frames 1 \
  --timeline-every 180

Outputs in --out:

summary.md（含：链接 + 摘要 + 时间轴）

transcript.txt

transcript.srt

frames/frame_01.jpg … (if --frames > 0)

Notes

Default model small (CPU/int8) is fast; use --model medium for better accuracy.

If you need more control, see references/workflow.md.

1) One-time deps

brew install yt-dlp ffmpeg

2) Create venv + install ASR

python3 -m venv .venv
source .venv/bin/activate
pip install faster-whisper

3) Run

python3 scripts/youtube_asr_summarize.py \
  --url "https://www.youtube.com/watch?v=" \
  --out "/tmp/youtube-asr/" \
  --model small \
  --lang zh \
  --frames 1 \
  --timeline-every 180

Outputs in --out:

summary.md（含：链接 + 摘要 + 时间轴）

transcript.txt

transcript.srt

frames/frame_01.jpg … (if --frames > 0)

Default model small (CPU/int8) is fast; use --model medium for better accuracy.

If you need more control, see references/workflow.md.