video-summarizer

Q: How do I install video-summarizer?

Run npx skills add https://github.com/liang121/video-summarizer --skill video-summarizer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/video-summarizer/ (personal) or .claude/skills/video-summarizer/ (project).

by liang121Media & Creative

Download videos from 1800+ platforms (YouTube, Bilibili, Twitter/X, TikTok, Vimeo, Instagram, etc.) and generate complete resource package with video, audio, subtitles, and AI summary. Actions: summarize, download, transcribe, extract video content. Platforms: youtube.com, bilibili.com, twitter.com, x.com, tiktok.com, vimeo.com, instagram.com, twitch.tv. Outputs: MP4 video, MP3 audio, VTT subtitles with timestamps, TXT transcript, MD AI summary. Auto-installs uv, yt-dlp, ffmpeg. Python dependencies managed by uv.

Installs: 525
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/liang121/video-summarizer --skill video-summarizer

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads video-summarizer automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Video Summarizer

Overview

Download videos from any platform and generate a complete resource package including:

Original video file (mp4)
Audio file (mp3)
Subtitle file (with timestamps, vtt/srt format)
Summary file (summary.md)

Supports all 1800+ websites supported by yt-dlp.

Trigger Conditions

When the user:

Provides a video link and asks for a summary
Says "summarize this video", "what's in this video"
Asks to "extract video content", "transcribe video"
Says "download this video"
Provides a link from YouTube/Bilibili/Twitter/Vimeo/TikTok etc.

Supported Platforms

YouTube (youtube.com, youtu.be)
Bilibili (bilibili.com, b23.tv)
Twitter/X (x.com, twitter.com)
Vimeo (vimeo.com)
TikTok (tiktok.com)
Instagram (instagram.com)
Twitch (twitch.tv)
And 1800+ other platforms (all sites supported by yt-dlp)

Output Structure

All files are saved to downloads/<video-title>/ in the current working directory:

./downloads/
└── <video-title>/
    ├── video.mp4          # Original video
    ├── audio.mp3          # Extracted audio
    ├── subtitle.vtt       # Subtitles with timestamps
    ├── transcript.txt     # Plain text transcript (no timestamps)
    └── summary.md         # Structured summary

Workflow

Step 1: Install Dependencies

Run the install script to check and install all dependencies:

bash "$SKILL_DIR/scripts/install_deps.sh"

This installs: uv (Python package manager), ffmpeg, yt-dlp, and checks Python version. faster-whisper will be automatically managed by uv.

Step 2: Get Video Info and Create Output Directory

# Get video title (sanitize special characters for folder name)
TITLE=$(yt-dlp --print "%(title)s" "VIDEO_URL" | sed 's/[/:*?"<>|]/_/g' | cut -c1-80)
DURATION=$(yt-dlp --print "%(duration)s" "VIDEO_URL")

# Create output directory
OUTPUT_DIR=./downloads/"$TITLE"
mkdir -p "$OUTPUT_DIR"

Step 3: Download Video and Audio

# Download video (mp4 format, best quality up to 1080p)
yt-dlp -f "bestvideo[height<=1080][ext=mp4]+bestaudio[ext=m4a]/best[height<=1080][ext=mp4]/best" \
  --merge-output-format mp4 \
  -o "$OUTPUT_DIR/video.%(ext)s" "VIDEO_URL"

# Extract audio (mp3 format)
yt-dlp -x --audio-format mp3 -o "$OUTPUT_DIR/audio.%(ext)s" "VIDEO_URL"

Step 4: Get Subtitles

Priority order:

Try downloading manual subtitles (best quality)

yt-dlp --write-subs --sub-lang zh,en,zh-Hans,zh-Hant --skip-download \
  -o "$OUTPUT_DIR/subtitle" "VIDEO_URL"

Try downloading auto-generated subtitles

yt-dlp --write-auto-subs --sub-lang zh,en --skip-download \
  -o "$OUTPUT_DIR/subtitle" "VIDEO_URL"

Use faster-whisper transcription when no subtitles available

uv run "$SKILL_DIR/scripts/parallel_transcribe.py" \
  --input "$OUTPUT_DIR/audio.mp3" \
  --output-dir "$OUTPUT_DIR" \
  --model small \
  --language auto

The script automatically:

Splits long audio files at silence points
Uses multiple CPU cores for parallel transcription
Outputs both subtitle.vtt and transcript.txt

Transcription Options:

Option	Default	Description
`--model`	small	tiny/base/small/medium/large-v3
`--language`	auto	Language code or 'auto'
`--workers`	CPU/2	Number of parallel workers
`--min-segment`	60	Min duration (sec) to enable splitting

Step 5: Generate Plain Text Transcript

If subtitles were downloaded (not transcribed), convert to plain text:

if [[ ! -f "$OUTPUT_DIR/transcript.txt" ]]; then
  SUBTITLE_FILE=$(ls "$OUTPUT_DIR"/*.vtt "$OUTPUT_DIR"/*.srt 2>/dev/null | head -1)
  if [[ "$SUBTITLE_FILE" == *.vtt ]]; then
    sed '/^[0-9]/d; /^$/d; /-->/d; /^WEBVTT/d; /^Kind:/d; /^Language:/d; /^NOTE/d' \
      "$SUBTITLE_FILE" > "$OUTPUT_DIR/transcript.txt"
  elif [[ "$SUBTITLE_FILE" == *.srt ]]; then
    sed '/^[0-9]/d; /^$/d; /-->/d' "$SUBTITLE_FILE" > "$OUTPUT_DIR/transcript.txt"
  fi
fi

Step 6: Generate Summary File

Read prompt template from $SKILL_DIR/reference/summary-prompt.md
Replace placeholders: {{TITLE}}, {{PLATFORM}}, {{URL}}, {{DURATION}}, {{LANGUAGE}}, {{DOWNLOAD_TIME}}, {{TRANSCRIPT}}
Generate summary and save to $OUTPUT_DIR/summary.md

Platform-Specific Handling

Bilibili

# Prioritize Chinese subtitles
yt-dlp --sub-lang zh-Hans,zh-Hant,zh ...
# If login required
yt-dlp --cookies-from-browser chrome "VIDEO_URL"

Platforms Requiring Login

yt-dlp --cookies-from-browser chrome "VIDEO_URL"
# or firefox
yt-dlp --cookies-from-browser firefox "VIDEO_URL"

Error Handling

Cannot Get Subtitles

Use the parallel transcription script (Step 4, option 3).

Video Too Long (>1 hour)

Ask user if they only need partial content
The parallel script handles long files automatically

Unsupported Platform

yt-dlp --list-extractors | grep -i "platform-name"

Notes

Storage: Files saved to ./downloads/ in current working directory
Copyright: For personal learning use only
Network: Some platforms may require proxy
First Run: Whisper model download required (~244MB for small)
Parallel Processing: Long audio (>60s) auto-splits at silence points

FAQ

What does the video-summarizer skill do?

How do I install video-summarizer?

Run npx skills add https://github.com/liang121/video-summarizer --skill video-summarizer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/video-summarizer/ (personal) or .claude/skills/video-summarizer/ (project).

Which AI agents can use video-summarizer?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is video-summarizer safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains video-summarizer?

It is published by liang121 in liang121/video-summarizer. It has 525 recorded installs.

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video-summarizer

Install

Install

Describe the task

Review the result

SKILL.md

Video Summarizer

Overview

Trigger Conditions

Supported Platforms

Output Structure

Workflow

Step 1: Install Dependencies

Step 2: Get Video Info and Create Output Directory

Step 3: Download Video and Audio

Step 4: Get Subtitles

Step 5: Generate Plain Text Transcript

Step 6: Generate Summary File

Platform-Specific Handling

Bilibili

Platforms Requiring Login

Error Handling

Cannot Get Subtitles

Video Too Long (>1 hour)

Unsupported Platform

Notes

FAQ

Popular media & creative skills

hyperframes

media-use

hyperframes-registry

hyperframes-creative

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ai-image-generation