Process video, audio, and images using FFmpeg and ImageMagick command-line tools for conversion, optimization, streaming, and manipulation tasks.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmedia-processingExecute the skills CLI command in your project's root directory to begin installation:
Fetches media-processing from mrgoonie/claudekit-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate media-processing. Access via /media-processing in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Process video, audio, and images using FFmpeg and ImageMagick command-line tools for conversion, optimization, streaming, and manipulation tasks.
Use when:
Use FFmpeg for:
Use ImageMagick for:
| Task | Tool | Why |
|---|---|---|
| Video encoding | FFmpeg | Native video codec support |
| Audio extraction | FFmpeg | Direct stream manipulation |
| Image resize | ImageMagick | Optimized for still images |
| Batch images | ImageMagick | mogrify for in-place edits |
| Video thumbnails | FFmpeg | Frame extraction built-in |
| GIF creation | FFmpeg or ImageMagick | FFmpeg for video source, ImageMagick for images |
| Streaming | FFmpeg | Live streaming protocols |
| Image effects | ImageMagick | Rich filter library |
brew install ffmpeg imagemagick
sudo apt-get install ffmpeg imagemagick
# Using winget
winget install ffmpeg
winget install ImageMagick.ImageMagick
# Or download binaries
# FFmpeg: https://ffmpeg.org/download.html
# ImageMagick: https://imagemagick.org/script/download.php
ffmpeg -version
ffprobe -version
magick -version
# or
convert -version
# Convert format (copy streams, fast)
ffmpeg -i input.mkv -c copy output.mp4
# Re-encode with H.264
ffmpeg -i input.avi -c:v libx264 -crf 22 -c:a aac output.mp4
# Resize video to 720p
ffmpeg -i input.mp4 -vf scale=-1:720 -c:a copy output.mp4
# Extract audio (no re-encoding)
ffmpeg -i video.mp4 -vn -c:a copy audio.m4a
# Convert to MP3
ffmpeg -i video.mp4 -vn -q:a 0 audio.mp3
# Convert format
magick input.png output.jpg
# Resize maintaining aspect ratio
magick input.jpg -resize 800x600 output.jpg
# Create square thumbnail
magick input.jpg -resize 200x200^ -gravity center -extent 200x200 thumb.jpg
# Resize all JPEGs to 800px width
mogrify -resize 800x -quality 85 *.jpg
# Output to separate directory
mogrify -path ./output -resize 800x600 *.jpg
# Extract frame at 5 seconds
ffmpeg -ss 00:00:05 -i video.mp4 -vframes 1 -vf scale=320:-1 thumb.jpg
# Generate HLS playlist
ffmpeg -i input.mp4 \
-c:v libx264 -preset fast -crf 22 -g 48 \
-c:a aac -b:a 128k \
-f hls -hls_time 6 -hls_playlist_type vod \
playlist.m3u8
# Add watermark to corner
magick input.jpg watermark.png -gravity southeast \
-geometry +10+10 -composite output.jpg
# H.264 with good compression
ffmpeg -i input.mp4 \
-c:v libx264 -preset slow -crf 23 \
-c:a aac -b:a 128k \
-movflags +faststart \
output.mp4
# Generate multiple sizes
for size in 320 640 1024 1920; do
magick input.jpg -resize ${size}x -quality 85 "output-${size}w.jpg"
done
# From 1:30 to 3:00 (re-encode for precision)
ffmpeg -i input.mp4 -ss 00:01:30 -to 00:03:00 \
-c:v libx264 -c:a aac output.mp4
# Convert PNG to optimized JPEG
mogrify -path ./optimized -format jpg -quality 85 -strip *.png
# High quality GIF with palette
ffmpeg -i input.mp4 -vf "fps=15,scale=640:-1:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" output.gif
# Gaussian blur
magick input.jpg -gaussian-blur 0x8 output.jpg
# Pass 1 (analysis)
ffmpeg -y -i input.mkv -c:v libx264 -b:v 2600k -pass 1 -an -f null /dev/null
# Pass 2 (encoding)
ffmpeg -i input.mkv -c:v libx264 -b:v 2600k -pass 2 -c:a aac output.mp4
# NVIDIA NVENC
ffmpeg -hwaccel cuda -i input.mp4 -c:v h264_nvenc -preset fast -crf 22 output.mp4
# Intel QuickSync
ffmpeg -hwaccel qsv -c:v h264_qsv -i input.mp4 -c:v h264_qsv output.mp4
# Resize, crop, border, adjust
magick input.jpg \
-resize 1000x1000^ \
-gravity center \
-crop 1000x1000+0+0 +repage \
-bordercolor black -border 5x5 \
-brightness-contrast 5x10 \
-quality 90 \
output.jpg
# Scale, denoise, watermark
ffmpeg -i video.mp4 -i logo.png \
-filter_complex "[0:v]scale=1280:720,hqdn3d[v];[v][1:v]overlay=10:10" \
-c:a copy output.mp4
# Create with delay
magick -delay 100 -loop 0 frame*.png animated.gif
# Optimize size
magick animated.gif -fuzz 5% -layers Optimize optimized.gif
# Detailed JSON output
ffprobe -v quiet -print_format json -show_format -show_streams input.mp4
# Get resolution
ffprobe -v error -select_streams v:0 \
-show_entries stream=width,height \
-of csv=s=x:p=0 input.mp4
# Basic info
identify image.jpg
# Detailed format
identify -verbose image.jpg
# Custom format
identify -format "%f: %wx%h %b\n" image.jpg
-c copy-strip-interlace PlaneDetailed guides in references/:
-c:v - Video codec (libx264, libx265, libvpx-vp9)-crf - Quality (0-51, lower=better, 23=default)-preset - Speed/compression (ultrafast to veryslow)-b:v - Video bitrate (e.g., 2M, 2500k)-vf - Video filters-c:a - Audio codec (aac, mp3, opus)-b:a - Audio bitrate (e.g., 128k, 192k)-ar - Sample rate (44100, 48000)800x600 - Fit within (maintains aspect)800x600! - Force exact size800x600^ - Fill (may crop)800x - Width onlyx600 - Height only50% - Scale percentageFFmpeg "Unknown encoder"
# Check available encoders
ffmpeg Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Keeps context tight: media-processing is the kind of skill you can hand to a new teammate without a long onboarding doc.
media-processing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added media-processing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: media-processing is focused, and the summary matches what you get after install.
media-processing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
media-processing has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: media-processing is focused, and the summary matches what you get after install.
Useful defaults in media-processing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
media-processing reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: media-processing is focused, and the summary matches what you get after install.
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