video-processing-editing

Q: How do I install video-processing-editing?

Run npx skills add https://github.com/curiositech/some_claude_skills --skill video-processing-editing 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-processing-editing/ (personal) or .claude/skills/video-processing-editing/ (project).

by curiositechMedia & Creative

FFmpeg automation for cutting, trimming, concatenating videos. Audio mixing, timeline editing, transitions, effects. Export optimization for YouTube, social media. Subtitle handling, color grading, batch processing. Use for videogen projects, content creation, automated video production. Activate on "video editing", "FFmpeg", "trim video", "concatenate", "transitions", "export optimization". NOT for real-time video editing UI, 3D compositing, or motion graphics.

Installs: 1.4K
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/curiositech/some_claude_skills --skill video-processing-editing

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-processing-editing 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 Processing & Editing

Expert in FFmpeg-based video editing, processing automation, and export optimization for modern content creation workflows.

When to Use

✅ Use for:

Automated video editing pipelines (script-to-video)
Cutting, trimming, concatenating clips
Adding transitions, effects, overlays
Audio mixing and normalization
Subtitle/caption handling
Export optimization for platforms
Batch video processing
Color grading and correction

❌ NOT for:

Real-time video editing UI (use DaVinci Resolve/Premiere)
3D compositing (use After Effects/Blender)
Motion graphics animation (use After Effects)
Basic screen recording (use OBS)

Technology Selection

Video Editing Tools

Tool	Speed	Features	Use Case
FFmpeg	Very Fast	CLI automation	Production pipelines
MoviePy	Medium	Python API	Programmatic editing
PyAV	Fast	Low-level control	Custom processing
DaVinci Resolve	Slow	Full NLE	Manual editing

Decision tree:

Need automation? → FFmpeg
Need Python API? → MoviePy
Need frame-level control? → PyAV
Need manual editing? → DaVinci Resolve

Common Anti-Patterns

Anti-Pattern 1: Not Using Keyframe-Aligned Cuts

Novice thinking: "Just cut the video at any timestamp"

Problem: Causes artifacts, black frames, and playback issues.

Wrong approach:

# ❌ Cut at arbitrary timestamp (not keyframe-aligned)
ffmpeg -i input.mp4 -ss 00:01:23.456 -to 00:02:45.678 -c copy output.mp4

# Result: Black frames, artifacts, sync issues

Why wrong:

Video codecs use keyframes (I-frames) every 2-10 seconds
Non-keyframe cuts require re-encoding
Using -c copy (stream copy) without keyframe alignment breaks playback
GOP (Group of Pictures) structure depends on keyframes

Correct approach 1: Re-encode for precise cuts

# ✅ Re-encode for frame-accurate cutting
ffmpeg -i input.mp4 -ss 00:01:23.456 -to 00:02:45.678 \
  -c:v libx264 -crf 18 -preset medium \
  -c:a aac -b:a 192k \
  output.mp4

# Frame-accurate, but slower (re-encoding)

Correct approach 2: Keyframe-aligned stream copy

# ✅ Fast cutting with keyframe alignment
# Step 1: Find keyframes near cut points
ffprobe -select_streams v -show_frames -show_entries frame=pkt_pts_time,key_frame \
  -of csv input.mp4 | grep ",1$" | awk -F',' '{print $2}'

# Step 2: Cut at nearest keyframes (fast, no re-encoding)
ffmpeg -i input.mp4 -ss 00:01:22.000 -to 00:02:46.000 -c copy output.mp4

# Blazing fast, no quality loss, but not frame-accurate

Correct approach 3: Two-pass for best of both worlds

# ✅ Fast seek + precise cut
ffmpeg -ss 00:01:20.000 -i input.mp4 \
  -ss 00:00:03.456 -to 00:01:25.678 \
  -c:v libx264 -crf 18 -preset medium \
  -c:a aac -b:a 192k \
  output.mp4

# -ss BEFORE -i: Fast seek to keyframe (no decode)
# -ss AFTER -i: Precise trim (only decode needed portion)

Performance comparison:

Method	Time (1-hour video)	Accuracy	Quality
Stream copy (arbitrary)	2s	❌ Broken	❌ Artifacts
Stream copy (keyframe)	2s	±2s	✅ Perfect
Re-encode (simple)	15min	✅ Frame	⚠️ Quality loss
Two-pass (optimal)	3min	✅ Frame	✅ Perfect

Timeline context:

2010: FFmpeg required full re-encoding for cuts
2015: -c copy added for stream copying
2020: Two-pass cutting became best practice
2024: Hardware acceleration (NVENC) makes re-encoding viable

Anti-Pattern 2: Re-encoding Unnecessarily

Novice thinking: "Apply all edits in one FFmpeg command"

Problem: Multiple re-encodings cause cumulative quality loss.

Wrong approach:

# ❌ Re-encode for each operation (quality degradation)
# Operation 1: Trim
ffmpeg -i input.mp4 -ss 00:01:00 -to 00:05:00 \
  -c:v libx264 -crf 23 temp1.mp4

# Operation 2: Add audio
ffmpeg -i temp1.mp4 -i audio.mp3 -c:v libx264 -crf 23 \
  -map 0:v -map 1:a temp2.mp4

# Operation 3: Add subtitles
ffmpeg -i temp2.mp4 -vf subtitles=subs.srt \
  -c:v libx264 -crf 23 output.mp4

# Result: 3x re-encoding = significant quality loss

Why wrong:

Each re-encode is lossy (even with high CRF)
Cumulative quality loss (generation loss)
3x encoding time
Wasted disk I/O

Correct approach 1: Chain operations in single command

# ✅ Single-pass encoding with all operations
ffmpeg -ss 00:01:00 -i input.mp4 -i audio.mp3 \
  -to 00:04:00 \
  -vf "subtitles=subs.srt" \
  -map 0:v -map 1:a \
  -c:v libx264 -crf 18 -preset medium \
  -c:a aac -b:a 192k \
  output.mp4

# Single re-encode, all operations applied at once

Correct approach 2: Use stream copy when possible

# ✅ Lossless operations with stream copy
# Trim (stream copy)
ffmpeg -i input.mp4 -ss 00:01:00 -to 00:05:00 -c copy temp.mp4

# Add audio (stream copy video, encode audio)
ffmpeg -i temp.mp4 -i audio.mp3 \
  -map 0:v -map 1:a \
  -c:v copy -c:a aac -b:a 192k \
  temp2.mp4

# Burn subtitles (must re-encode video)
ffmpeg -i temp2.mp4 -vf subtitles=subs.srt \
  -c:v libx264 -crf 18 -preset medium \
  -c:a copy \
  output.mp4

# Only 1 video re-encode (for subtitles)

Quality comparison:

Method	Encoding Passes	Quality (VMAF)	Time
3x re-encode (CRF 23)	3	82/100	45min
Single pass (CRF 23)	1	91/100	15min
Stream copy + 1 encode	1	95/100	18min
All stream copy	0	100/100	30s

Anti-Pattern 3: Ignoring Color Space Conversions

Novice thinking: "Just concatenate videos together"

Problem: Color shifts, mismatched brightness, broken playback.

Wrong approach:

# ❌ Concatenate videos with different color spaces
# clip1.mp4: BT.709 (HD), yuv420p
# clip2.mp4: BT.601 (SD), yuvj420p (full range)
# clip3.mp4: BT.2020 (HDR), yuv420p10le

# Create concat list
echo "file 'clip1.mp4'" > list.txt
echo "file 'clip2.mp4'" >> list.txt
echo "file 'clip3.mp4'" >> list.txt

# Concatenate without color normalization
ffmpeg -f concat -safe 0 -i list.txt -c copy output.mp4

# Result: Color shifts between clips, broken HDR metadata

Why wrong:

Different color spaces (BT.601 vs BT.709 vs BT.2020)
Different pixel formats (yuv420p vs yuvj420p)
Different color ranges (limited vs full)
Metadata conflicts

Correct approach:

# ✅ Normalize color space before concatenation

# Step 1: Analyze color space of each clip
ffprobe -v error -select_streams v:0 \
  -show_entries stream=color_space,color_transfer,color_primaries,pix_fmt \
  -of default=noprint_wrappers=1 clip1.mp4

# Step 2: Normalize all clips to common color space
# Target: BT.709 (HD), yuv420p, limited range

# Normalize clip1 (already BT.709)
ffmpeg -i clip1.mp4 -c copy clip1_normalized.mp4

# Normalize clip2 (BT.601 SD → BT.709 HD)
ffmpeg -i clip2.mp4 \
  -vf "scale=in_range=full:out_range=limited,colorspace=bt709:iall=bt601:fast=1" \
  -color_primaries bt709 \
  -color_trc bt709 \
  -colorspace bt709 \
  -c:v libx264 -crf 18 -preset medium \
  -c:a copy \
  clip2_normalized.mp4

# Normalize clip3 (BT.2020 HDR → BT.709 SDR)
ffmpeg -i clip3.mp4 \
  -vf "zscale=t=linear:npl=100,format=gbrpf32le,zscale=p=bt709,tonemap=hable:desat=0,zscale=t=bt709:m=bt709:r=limited,format=yuv420p" \
  -color_primaries bt709 \
  -color_trc bt709 \
  -colorspace bt709 \
  -c:v libx264 -crf 18 -preset medium \
  -c:a copy \
  clip3_normalized.mp4

# Step 3: Concatenate normalized clips
echo "file 'clip1_normalized.mp4'" > list.txt
echo "file 'clip2_normalized.mp4'" >> list.txt
echo "file 'clip3_normalized.mp4'" >> list.txt

ffmpeg -f concat -safe 0 -i list.txt -c copy output.mp4

Color space guide:

Standard	Color Space	Transfer	Primaries	Use Case
BT.601	SD	bt470bg	bt470bg	Old SD content
BT.709	HD	bt709	bt709	Modern HD/FHD
BT.2020	UHD/HDR	smpte2084	bt2020	4K HDR
sRGB	Web	iec61966-2-1	bt709	Web delivery

Anti-Pattern 4: Poor Audio Sync

Novice thinking: "Video and audio are separate, just overlay them"

Problem: Lip sync issues, audio drift, broken playback.

Wrong approach:

# ❌ Replace audio without sync consideration
ffmpeg -i video.mp4 -i audio.mp3 \
  -map 0:v -map 1:a \
  -c:v copy -c:a copy \
  output.mp4

# Problems:
# - Audio duration ≠ video duration
# - No audio stretching/compression
# - Drift over time

Why wrong:

Audio and video have different durations
No timebase synchronization
No drift correction
Ignores original audio sync

Correct approach 1: Stretch/compress audio to match video

# ✅ Adjust audio speed to match video duration

# Get durations
VIDEO_DUR=$(ffprobe -v error -show_entries format=duration \
  -of default=noprint_wrappers=1:nokey=1 video.mp4)
AUDIO_DUR=$(ffprobe -v error -show_entries format=duration \
  -of default=noprint_wrappers=1:nokey=1 audio.mp3)

# Calculate speed ratio
RATIO=$(echo "$VIDEO_DUR / $AUDIO_DUR" | bc -l)

# Stretch audio to match video (with pitch correction)
ffmpeg -i video.mp4 -i audio.mp3 \
  -filter_complex "[1:a]atempo=${RATIO}[a]" \
  -map 0:v -map "[a]" \
  -c:v copy -c:a aac -b:a 192k \
  output.mp4

Correct approach 2: Precise offset and trim

# ✅ Sync audio with offset and trim

# Audio starts 0.5s late, trim to match video
ffmpeg -i video.mp4 -itsoffset 0.5 -i audio.mp3 \
  -map 0:v -map 1:a \
  -shortest \
  -c:v copy -c:a aac -b:a 192k \
  output.mp4

# -itsoffset: Delay audio by 0.5s
# -shortest: Trim to shortest stream

Correct approach 3: Mix multiple audio tracks with sync

# ✅ Mix dialogue, music, effects with precise timing

ffmpeg -i video.mp4 -i dialogue.wav -i music.mp3 -i sfx.wav \
  -filter_complex "
    [1:a]adelay=0|0[dlg];
    [2:a]volume=0.3,adelay=500|500[mus];
    [3:a]adelay=1200|1200[sfx];
    [dlg][mus][sfx]amix=inputs=3:duration=first[a]
  " \
  -map 0:v -map "[a]" \
  -c:v copy -c:a aac -b:a 256k \
  output.mp4

# adelay: Precise millisecond timing
# amix: Mix multiple audio streams
# volume: Normalize levels

Audio sync checklist:

□ Verify video and audio durations match
□ Use -shortest to prevent excess audio
□ Apply adelay for precise timing offsets
□ Use atempo for speed adjustment (maintains pitch)
□ Set audio bitrate appropriately (128k-256k)
□ Test lip sync at beginning, middle, end

Anti-Pattern 5: Wrong Codec/Bitrate for Platform

Novice thinking: "One export settings for everything"

Problem: Wasted bandwidth, poor quality, rejected uploads, compatibility issues.

Wrong approach:

# ❌ Export everything at 4K 50 Mbps
ffmpeg -i input.mp4 \
  -c:v libx264 -b:v 50M -s 3840x2160 \
  -c:a aac -b:a 320k \
  output.mp4

# For Instagram story: 2 GB file, rejected (max 100 MB)
# For YouTube: Could use 10 Mbps and look identical
# For Twitter: Exceeds bitrate limits

Why wrong:

Platform-specific size/bitrate limits
Over-encoding wastes bandwidth
Wrong resolution for platform
Incompatible codecs

Correct approach: Platform-optimized exports

YouTube (recommended settings):

# ✅ YouTube 1080p upload
ffmpeg -i input.mp4 \
  -c:v libx264 -preset slow -crf 18 \
  -s 1920x1080 -r 30 \
  -pix_fmt yuv420p \
  -color_primaries bt709 -color_trc bt709 -colorspace bt709 \
  -movflags +faststart \
  -c:a aac -b:a 192k -ar 48000 \
  youtube_1080p.mp4

# YouTube 4K upload
ffmpeg -i input.mp4 \
  -c:v libx264 -preset slow -crf 18 \
  -s 3840x2160 -r 60 \
  -pix_fmt yuv420p \
  -movflags +faststart \
  -c:a aac -b:a 256k -ar 48000 \
  youtube_4k.mp4

Instagram (Stories, Reels, Feed):

# ✅ Instagram Story (9:16, max 100 MB, 15s)
ffmpeg -i input.mp4 \
  -c:v libx264 -preset medium -crf 23 \
  -s 1080x1920 -r 30 -t 15 \
  -pix_fmt yuv420p \
  -movflags +faststart \
  -c:a aac -b:a 128k \
  instagram_story.mp4

# ✅ Instagram Reel (9:16, max 90s)
ffmpeg -i input.mp4 \
  -c:v libx264 -preset medium -crf 23 \
  -s 1080x1920 -r 30 -t 90 \
  -pix_fmt yuv420p \
  -movflags +faststart \
  -c:a aac -b:a 128k \
  instagram_reel.mp4

# ✅ Instagram Feed (1:1 or 4:5)
ffmpeg -i input.mp4 \
  -c:v libx264 -preset medium -crf 23 \
  -s 1080x1080 -r 30 \
  -pix_fmt yuv420p \
  -movflags +faststart \
  -c:a aac -b:a 128k \
  instagram_feed.mp4

Twitter/X:

# ✅ Twitter video (max 512 MB, 2:20)
ffmpeg -i input.mp4 \
  -c:v libx264 -preset medium -crf 23 \
  -s 1280x720 -r 30 -t 140 \
  -maxrate 5000k -bufsize 10000k \
  -pix_fmt yuv420p \
  -movflags +faststart \
  -c:a aac -b:a 128k \
  twitter.mp4

TikTok:

# ✅ TikTok (9:16, max 287 MB, 10 min)
ffmpeg -i input.mp4 \
  -c:v libx264 -preset medium -crf 23 \
  -s 1080x1920 -r 30 -t 600 \
  -pix_fmt yuv420p \
  -movflags +faststart \
  -c:a aac -b:a 128k \
  tiktok.mp4

Web (HTML5 video):

# ✅ Web optimized (fast load, broad compatibility)
ffmpeg -i input.mp4 \
  -c:v libx264 -preset medium -crf 23 \
  -s 1920x1080 -r 30 \
  -pix_fmt yuv420p \
  -profile:v baseline -level 3.0 \
  -movflags +faststart \
  -c:a aac -b:a 128k -ar 48000 \
  web.mp4

Platform specs table:

Platform	Max Size	Max Duration	Resolution	FPS	Bitrate	Codec
YouTube	Unlimited	Unlimited	8K	60	Auto	H.264/VP9
Instagram Story	100 MB	15s	1080x1920	30	~5 Mbps	H.264
Instagram Reel	1 GB	90s	1080x1920	30	~8 Mbps	H.264
Twitter	512 MB	2:20	1920x1080	60	5 Mbps	H.264
TikTok	287 MB	10min	1080x1920	30	~4 Mbps	H.264
LinkedIn	5 GB	10min	1920x1080	30	5 Mbps	H.264
Web	Varies	Varies	1920x1080	30	2-5 Mbps	H.264

Export optimization checklist:

□ Use -movflags +faststart for web (progressive download)
□ Use -pix_fmt yuv420p for broad compatibility
□ Set -r 30 for most platforms (avoid variable framerate)
□ Use -preset slow for final exports (better quality)
□ Use -preset ultrafast for drafts
□ Apply -maxrate and -bufsize for streaming
□ Test playback on target platform before bulk export

Production Checklist

□ Align cuts to keyframes (or two-pass seek)
□ Chain operations in single FFmpeg command
□ Normalize color spaces before concatenating
□ Verify audio/video sync (test at multiple points)
□ Use platform-specific export presets
□ Apply -movflags +faststart for web delivery
□ Set proper color metadata (bt709 for HD)
□ Test output file on target platform
□ Keep lossless intermediate files (ProRes, FFV1)
□ Use hardware acceleration for batch jobs (NVENC, VideoToolbox)

When to Use vs Avoid

Scenario	Appropriate?
Automated video pipeline (script → video)	✅ Yes - FFmpeg automation
Batch process 100 videos	✅ Yes - parallel FFmpeg jobs
Trim/cut clips programmatically	✅ Yes - precise cutting
Add subtitles to videos	✅ Yes - burn or soft subs
Color grade footage	⚠️ Limited - basic only
Multi-cam editing	❌ No - use DaVinci Resolve
Motion graphics	❌ No - use After Effects
Real-time preview editing	❌ No - use Premiere/Resolve

References

/references/ffmpeg-guide.md - Complete FFmpeg command reference
/references/timeline-editing.md - Timeline concepts, multi-track editing
/references/export-optimization.md - Platform-specific export settings

Scripts

scripts/video_editor.py - Cut, trim, concatenate, transitions, effects
scripts/batch_processor.py - Parallel batch video processing

FAQ

What does the video-processing-editing skill do?

How do I install video-processing-editing?

Run npx skills add https://github.com/curiositech/some_claude_skills --skill video-processing-editing 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-processing-editing/ (personal) or .claude/skills/video-processing-editing/ (project).

Which AI agents can use video-processing-editing?

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-processing-editing 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-processing-editing?

It is published by curiositech in curiositech/some_claude_skills. It has 1,373 recorded installs.