How do I install the Video Edit skill?

Run npx skillmds@latest add aiagentwithdhruv/video-edit-3 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Video Edit skill do?

Complete video editing toolkit - silence removal, auto-captions, vertical crop, YouTube clipping, 3D transitions, and social media compression. Use when user asks to edit video, remove silences, add captions/subtitles, crop to vertical/shorts, download YouTube clips, compress video, or create video teasers. It is listed under Coding & Dev Tools on SkillMD.

Is Video Edit safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: CAUTION, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Video Edit?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Video Edit free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Video Edit?

aiagentwithdhruv (@aiagentwithdhruv) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Video Edit by aiagentwithdhruv — Agent Skill

Name: Video Edit
Rating: 4.2 (5 reviews)
Author: aiagentwithdhruv

Video Editing Toolkit

Goal

Complete video production pipeline: silence removal, auto-captions, vertical cropping, YouTube clipping, compression, and 3D transitions.

Scripts (7 total)

Script	Purpose
`jump_cut_vad_singlepass.py`	Remove silences with neural VAD (Silero)
`auto_captions.py`	Generate + burn styled subtitles (Whisper + FFmpeg)
`vertical_crop.py`	Auto-crop 16:9 → 9:16 with face tracking
`youtube_clip.py`	Download YouTube + AI chapter clipping
`compress_video.py`	Social media compression with platform presets
`simple_video_edit.py`	Full pipeline: silence removal + transcription + metadata + upload
`insert_3d_transition.py`	3D swivel teaser insertion

Quick Start Recipes

Recipe 1: Full Social Media Pipeline

# 1. Remove silences
python3 ./scripts/jump_cut_vad_singlepass.py input.mp4 .tmp/edited.mp4

# 2. Add captions
python3 ./scripts/auto_captions.py .tmp/edited.mp4 .tmp/captioned.mp4 --word-level --max-words 2

# 3. Crop to vertical for Shorts/Reels
python3 ./scripts/vertical_crop.py .tmp/captioned.mp4 .tmp/vertical.mp4

# 4. Compress for platform
python3 ./scripts/compress_video.py .tmp/vertical.mp4 output.mp4 --preset instagram-reel

Recipe 2: YouTube → Shorts Pipeline

# 1. Download + auto-clip YouTube video
python3 ./scripts/youtube_clip.py "https://youtube.com/watch?v=..." --auto-clip --output-dir clips/

# 2. Add captions to best clip
python3 ./scripts/auto_captions.py clips/chapters/01_intro.mp4 .tmp/captioned.mp4 --word-level

# 3. Crop to vertical
python3 ./scripts/vertical_crop.py .tmp/captioned.mp4 .tmp/vertical.mp4

# 4. Compress for YouTube Shorts
python3 ./scripts/compress_video.py .tmp/vertical.mp4 short.mp4 --preset youtube-shorts

Recipe 3: Quick Edit + Upload

# All-in-one: silence removal + transcription + metadata + Auphonic upload
python3 ./scripts/simple_video_edit.py --video input.mp4 --title "My Video"

Script 1: VAD Silence Removal

File: ./scripts/jump_cut_vad_singlepass.py

How It Works

Extracts audio as WAV (16kHz mono)
Runs Silero VAD to detect speech segments
Merges close segments, adds padding
Uses FFmpeg trim+concat to join segments in single pass
Hardware encodes with hevc_videotoolbox (H.265, 17Mbps, 30fps)

CLI Arguments

Argument	Default	Description
`--min-silence`	0.5	Min silence duration to cut (seconds)
`--min-speech`	0.25	Min speech duration to keep (seconds)
`--padding`	100	Padding around speech (ms)
`--merge-gap`	0.3	Merge segments closer than this (seconds)
`--keep-start`	true	Always start from 0:00

Usage

python3 ./scripts/jump_cut_vad_singlepass.py input.mp4 output.mp4
python3 ./scripts/jump_cut_vad_singlepass.py input.mp4 output.mp4 --min-silence 1.0 --padding 200

Processing Time

~8 minutes for a 49-min 4K video

Script 2: Auto-Captions

File: ./scripts/auto_captions.py

How It Works

Transcribes video using faster-whisper (word-level timestamps)
Generates SRT subtitles (segment-level or word-level)
Burns styled captions into video with FFmpeg

CLI Arguments

Argument	Default	Description
`--model`	base	Whisper model: tiny, base, small, medium, large-v3
`--language`	auto	Force language (en, es, hi, etc.)
`--word-level`	false	Short punchy captions (1-3 words at a time)
`--max-words`	3	Max words per caption in word-level mode
`--font-size`	22	Caption font size (auto-scales for vertical)
`--font-color`	white	Text color: white, yellow, cyan, green, red, orange, pink
`--outline-color`	black	Outline color
`--position`	bottom	Caption position: bottom, top, middle
`--srt-only`	false	Only generate SRT, don't burn
`--srt-path`	auto	Custom SRT output path
`--bold`	true	Bold text

Usage

# Basic captions
python3 ./scripts/auto_captions.py input.mp4 output.mp4

# Word-level (CapCut/Submagic style)
python3 ./scripts/auto_captions.py input.mp4 output.mp4 --word-level --max-words 2

# Yellow captions at top
python3 ./scripts/auto_captions.py input.mp4 output.mp4 --font-color yellow --position top

# SRT only (no burn)
python3 ./scripts/auto_captions.py input.mp4 --srt-only

# High accuracy
python3 ./scripts/auto_captions.py input.mp4 output.mp4 --model large-v3

Dependencies

pip install faster-whisper

Script 3: Vertical Crop

File: ./scripts/vertical_crop.py

How It Works

Samples frames throughout the video
Detects faces using OpenCV Haar cascade
Smooths face positions to avoid jitter
Crops 16:9 → 9:16 centered on the speaker
For moving subjects: segments video into 2s chunks with per-segment tracking

CLI Arguments

Argument	Default	Description
`--ratio`	9:16	Target aspect ratio (e.g., 9:16, 4:5, 1:1)
`--position`	auto	Crop position: auto (face tracking), left, center, right
`--smoothing`	30	Smoothing window in frames
`--sample-interval`	5	Sample every N frames for detection

Usage

# Auto face-tracking crop
python3 ./scripts/vertical_crop.py input.mp4 output.mp4

# Square crop (Instagram post)
python3 ./scripts/vertical_crop.py input.mp4 output.mp4 --ratio 1:1

# 4:5 crop (Instagram feed)
python3 ./scripts/vertical_crop.py input.mp4 output.mp4 --ratio 4:5

# Center crop (no tracking)
python3 ./scripts/vertical_crop.py input.mp4 output.mp4 --position center

Dependencies

pip install opencv-python numpy

Script 4: YouTube Clip

File: ./scripts/youtube_clip.py

How It Works

Downloads video via yt-dlp (up to 4K)
Extracts YouTube chapters if available
Falls back to AI chapter generation (Whisper + Claude)
Clips video into individual chapter files

CLI Arguments

Argument	Default	Description
`--download-only`	false	Only download, don't clip
`--max-quality`	1080	Max quality: 480, 720, 1080, 1440, 2160
`--audio-only`	false	Download audio only (MP3)
`--start`	none	Manual clip start (seconds)
`--end`	none	Manual clip end (seconds)
`--auto-clip`	false	AI-powered chapter detection and clipping
`--use-yt-chapters`	true	Use YouTube chapters if available
`--max-clips`	none	Limit number of clips
`--whisper-model`	base	Whisper model for transcription
`--reencode`	false	Re-encode clips (precise cuts)
`--output-dir`	.tmp/clips	Output directory

Usage

# Download only
python3 ./scripts/youtube_clip.py "https://youtube.com/watch?v=..." --download-only

# Auto-clip into chapters
python3 ./scripts/youtube_clip.py "https://youtube.com/watch?v=..." --auto-clip

# Extract specific range
python3 ./scripts/youtube_clip.py "https://youtube.com/watch?v=..." --start 60 --end 180 -o clip.mp4

# Download audio only
python3 ./scripts/youtube_clip.py "https://youtube.com/watch?v=..." --audio-only

# Top 3 clips only
python3 ./scripts/youtube_clip.py "https://youtube.com/watch?v=..." --auto-clip --max-clips 3

Dependencies

pip install yt-dlp faster-whisper anthropic

Script 5: Video Compressor

File: ./scripts/compress_video.py

Platform Presets

Preset	Resolution	CRF	Max Duration	Max Size	Notes
`youtube`	1080p	18	none	none	High quality
`youtube-shorts`	1080x1920	20	60s	none	Vertical
`instagram-reel`	1080x1920	23	90s	none	Vertical
`instagram-post`	1080x1080	23	60s	none	Square/vertical
`tiktok`	1080x1920	23	180s	none	Vertical
`twitter`	1080p	23	140s	512MB	Auto-bitrate
`linkedin`	1080p	23	600s	200MB	Auto-bitrate
`telegram`	720p	28	none	50MB	For bots
`whatsapp`	720p	28	120s	16MB	Aggressive
`small`	480p	30	none	none	Quick sharing

CLI Arguments

Argument	Default	Description
`--preset`	none	Platform preset (see table above)
`--resolution`	1080	Max height in pixels
`--crf`	23	Quality (0=lossless, 51=worst)
`--audio-bitrate`	128k	Audio bitrate
`--target-size`	none	Target file size in MB
`--max-duration`	none	Max duration in seconds
`--list-presets`	false	Show all presets

Usage

# Platform preset
python3 ./scripts/compress_video.py input.mp4 output.mp4 --preset instagram-reel
python3 ./scripts/compress_video.py input.mp4 output.mp4 --preset whatsapp

# Target file size
python3 ./scripts/compress_video.py input.mp4 output.mp4 --target-size 25

# Custom
python3 ./scripts/compress_video.py input.mp4 output.mp4 --resolution 720 --crf 28

# List all presets
python3 ./scripts/compress_video.py input.mp4 output.mp4 --list-presets

Script 6: Simple Video Edit (Full Pipeline)

File: ./scripts/simple_video_edit.py

How It Works

FFmpeg silence detection + cutting
Audio normalization (loudnorm)
Whisper transcription
Claude-generated YouTube metadata (summary + chapters)
Auphonic upload → YouTube (private draft)

CLI Arguments

Argument	Default	Description
`--video`	required	Input video path
`--title`	required	YouTube title
`--thumbnail`	none	Thumbnail image path
`--no-upload`	false	Skip Auphonic upload
`--no-normalize`	false	Skip audio normalization
`--upload-only`	false	Skip editing, just upload
`--silence-threshold`	-35	Silence threshold in dB
`--silence-duration`	3.0	Min silence duration (seconds)

Usage

# Full pipeline
python3 ./scripts/simple_video_edit.py --video input.mp4 --title "My Video"

# Local only
python3 ./scripts/simple_video_edit.py --video input.mp4 --title "Test" --no-upload

Dependencies

pip install anthropic faster-whisper requests python-dotenv
# Requires: ANTHROPIC_API_KEY, AUPHONIC_API_KEY in .env

Script 7: 3D Swivel Teaser

File: ./scripts/insert_3d_transition.py

How It Works

Extracts frames from later in video (default: 60s onwards)
Creates 3D rotating "swivel" animation via Remotion
Splits video: intro → transition → main content
Re-encodes and concatenates with audio preserved

CLI Arguments

Argument	Default	Description
`--insert-at`	3	Where to insert teaser (seconds)
`--duration`	5	Teaser duration (seconds)
`--teaser-start`	60	Where to sample content from (seconds)
`--bg-color`	#2d3436	Background color (hex)
`--bg-image`	none	Background image path

Final Timeline

[0-3s intro] [3-8s swivel teaser @ 100x] [8s onwards: edited content]
Audio: Original audio plays continuously

Dependencies

pip install torch  # For Silero VAD (jump_cut script)
brew install ffmpeg node  # macOS
cd video_effects && npm install  # For Remotion 3D rendering

All Dependencies (Install Once)

# Core (required for all scripts)
brew install ffmpeg

# Silence removal
pip install torch

# Auto-captions + YouTube clip
pip install faster-whisper

# Vertical crop
pip install opencv-python numpy

# YouTube download
pip install yt-dlp

# AI features (chapters, metadata)
pip install anthropic

# Full pipeline (simple_video_edit)
pip install requests python-dotenv

# 3D transitions
brew install node
cd scripts/video_effects && npm install

Troubleshooting

Issue	Solution
Cuts feel abrupt	`--padding 200` in jump_cut
Too much cut	`--min-silence 1.0` in jump_cut
Captions too small	`--font-size 32` in auto_captions
Vertical video detected	Font auto-scales 1.3x
Won't play in QuickTime	Ensure hvc1 codec tag
Face not detected	Try `--position center` in vertical_crop
YouTube download fails	Update yt-dlp: `pip install -U yt-dlp`
File too large	Use `--preset whatsapp` or `--target-size 25`
Hardware encoder fails	Auto-falls back to software (libx264)

Technical Details

macOS: Hardware encoding (hevc_videotoolbox / h264_videotoolbox)
Fallback: libx264/libx265 with CRF
Audio: AAC 128-192kbps
Uses hvc1 codec tag for QuickTime compatibility
All scripts support --help for full argument list

Schema

Inputs

Name	Type	Required	Description
`input_video`	file_path	Yes	Input video file path
`recipe`	string	No	Pipeline recipe: full-social, youtube-shorts, quick-edit
`preset`	string	No	Compression preset: youtube, instagram-reel, tiktok, whatsapp, etc.

Outputs

Name	Type	Description
`output_video`	file_path	Processed video file path

Credentials

Name	Source
`ANTHROPIC_API_KEY`	.env (for AI chapters)
`AUPHONIC_API_KEY`	.env (for upload)

Composable With

Skills that chain well with this one: pan-3d-transition, recreate-thumbnails, product-demo (automated website recordings with AI voiceover)

Cost

Free locally (FFmpeg + Silero VAD)

Video Edit

File contents

Video Editing Toolkit

Goal

Scripts (7 total)

Quick Start Recipes

Recipe 1: Full Social Media Pipeline

Recipe 2: YouTube → Shorts Pipeline

Recipe 3: Quick Edit + Upload

Script 1: VAD Silence Removal

How It Works

CLI Arguments

Usage

Processing Time

Script 2: Auto-Captions

How It Works

CLI Arguments

Usage

Dependencies

Script 3: Vertical Crop

How It Works

CLI Arguments

Usage

Dependencies

Script 4: YouTube Clip

How It Works

CLI Arguments

Usage

Dependencies

Script 5: Video Compressor

Platform Presets

CLI Arguments

Usage

Script 6: Simple Video Edit (Full Pipeline)

How It Works

CLI Arguments

Usage

Dependencies

Script 7: 3D Swivel Teaser

How It Works

CLI Arguments

Final Timeline

Dependencies

All Dependencies (Install Once)

Troubleshooting

Technical Details

Schema

Inputs

Outputs

Credentials

Composable With

Cost

Related skills

Frequently asked questions

How do I install the Video Edit skill?

What does the Video Edit skill do?

Is Video Edit safe to use?

Which AI agents work with Video Edit?

Is Video Edit free to use?

Who published Video Edit?