processing-video/SKILL.md
Audio and video processing with ffmpeg. Use when: user asks to convert, trim, merge, compress, or transcode video or audio files; extract audio from video; create GIFs or animated WebP from video; add subtitles or watermarks to video; change video resolution, framerate, or codec; normalize audio loudness; extract frames from video; concatenate clips; create thumbnails from video; strip or add audio tracks; convert between audio formats (MP3, AAC, FLAC, Opus, WAV); adjust volume; apply video filters; stabilize shaky video; generate waveform or spectrum visualizations; probe media file metadata. Triggers on 'ffmpeg', 'video', 'audio', 'transcode', 'MP4', 'MKV', 'WebM', 'MP3', 'AAC', 'FLAC', 'Opus', 'WAV', 'GIF from video', 'extract audio', 'add subtitles', 'video to gif', 'compress video', 'trim video', 'merge videos', 'normalize audio', 'framerate', 'resolution', 'bitrate', 'codec', 'ffprobe', 'waveform', 'spectrogram'.
npx skillsauth add oaustegard/claude-skills processing-videoInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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ffmpeg 6.1.1 is pre-installed with a full-featured build. Also available: ffprobe (media analysis) and ffplay (playback, limited use in container).
Before writing custom Python for media tasks, check whether ffmpeg handles it in a single command.
To interpret video content (summarize, describe, find scenes) rather than transform it, use the parsing-video skill — it samples frames into timestamped contact sheets that can be read as images.
ffprobe — always start here to understand what you're working with.
ffprobe -v quiet -print_format json -show_format -show_streams input.mp4
ffprobe -v quiet -show_entries format=duration,bit_rate -of csv=p=0 input.mp4
ffprobe -v quiet -select_streams v:0 -show_entries stream=width,height,r_frame_rate,codec_name -of csv=p=0 input.mp4
ffmpeg -i input.avi output.mp4 # container swap (re-encode)
ffmpeg -i input.avi -c copy output.mp4 # container swap (no re-encode, fast)
ffmpeg -i input.mp4 -c:v libx265 -crf 28 output.mp4 # H.265
ffmpeg -i input.mp4 -c:v libvpx-vp9 -crf 30 -b:v 0 out.webm # VP9 WebM
ffmpeg -i input.mp4 -c:v libsvtav1 -crf 35 output.mp4 # AV1 (SVT, fastest AV1 encoder)
ffmpeg -i input.mp4 -c:v libjxl output.jxl # JPEG XL (single frame)
Encoder selection guide:
| Goal | Encoder | Typical flags |
|---|---|---|
| Compatibility | libx264 | -crf 23 -preset medium |
| Better compression | libx265 | -crf 28 -preset medium |
| Web delivery | libvpx-vp9 | -crf 30 -b:v 0 |
| Best compression | libsvtav1 | -crf 35 -preset 6 |
| Lossless archival | libx264 | -crf 0 -preset veryslow |
Lower CRF = higher quality. x264 default 23, x265 default 28, SVT-AV1 default 35 are visually similar.
ffmpeg -i input.wav -c:a libmp3lame -q:a 2 output.mp3 # MP3 VBR ~190kbps
ffmpeg -i input.wav -c:a libopus -b:a 128k output.opus # Opus (best quality/size)
ffmpeg -i input.wav -c:a aac -b:a 192k output.m4a # AAC
ffmpeg -i input.wav -c:a flac output.flac # FLAC lossless
ffmpeg -i input.mp3 -ar 44100 -ac 2 output.wav # to WAV, set sample rate/channels
ffmpeg -i video.mp4 -vn -c:a copy audio.aac # extract without re-encoding
ffmpeg -i video.mp4 -vn -c:a libmp3lame -q:a 2 audio.mp3 # extract as MP3
ffmpeg -i video.mp4 -vn -c:a libopus -b:a 128k audio.opus
ffmpeg -i input.mp4 -ss 00:01:30 -to 00:03:00 -c copy clip.mp4 # fast, keyframe-aligned
ffmpeg -ss 00:01:30 -i input.mp4 -to 00:01:30 -c copy clip.mp4 # -ss before -i = faster seek
ffmpeg -i input.mp4 -ss 00:01:30 -to 00:03:00 -c:v libx264 -c:a aac clip.mp4 # frame-accurate (re-encode)
-ss before -i seeks by keyframe (fast, may be imprecise). After -i decodes from start (slow, precise). For frame-accurate cuts, re-encode.
Demuxer method (same codec, no re-encode):
# Create file list
printf "file '%s'\n" clip1.mp4 clip2.mp4 clip3.mp4 > list.txt
ffmpeg -f concat -safe 0 -i list.txt -c copy merged.mp4
Filter method (different formats, re-encodes):
ffmpeg -i clip1.mp4 -i clip2.mp4 -filter_complex "[0:v][0:a][1:v][1:a]concat=n=2:v=1:a=1[v][a]" -map "[v]" -map "[a]" merged.mp4
ffmpeg -i input.mp4 -vf "scale=1280:720" output.mp4 # exact size
ffmpeg -i input.mp4 -vf "scale=1280:-1" output.mp4 # width 1280, auto height
ffmpeg -i input.mp4 -vf "scale=-1:720:flags=lanczos" output.mp4 # height 720, Lanczos
ffmpeg -i input.mp4 -vf "scale=iw/2:ih/2" output.mp4 # half size
ffmpeg -i input.mp4 -vf "pad=1920:1080:(ow-iw)/2:(oh-ih)/2" output.mp4 # letterbox to 1080p
ffmpeg -i input.mp4 -r 30 output.mp4 # simple (drops/dupes frames)
ffmpeg -i input.mp4 -vf "fps=24" output.mp4 # filter-based
ffmpeg -i input.mp4 -vf "minterpolate=fps=60" output.mp4 # motion interpolation (slow)
Use the two-pass palette method for quality:
ffmpeg -i input.mp4 -vf "fps=10,scale=480:-1:flags=lanczos,palettegen" palette.png
ffmpeg -i input.mp4 -i palette.png -lavfi "fps=10,scale=480:-1:flags=lanczos[x];[x][1:v]paletteuse" output.gif
Single-pass (simpler, lower quality):
ffmpeg -i input.mp4 -vf "fps=10,scale=480:-1" output.gif
ffmpeg -i input.mp4 -vf "fps=15,scale=480:-1" -c:v libwebp -lossless 0 -q:v 75 -loop 0 output.webp
ffmpeg -i input.mp4 -vf "fps=1" frame_%04d.png # 1 frame/second
ffmpeg -i input.mp4 -vf "select='eq(pict_type,I)'" -vsync vfr keyframe_%04d.png # keyframes only
ffmpeg -i input.mp4 -vf "thumbnail=300" -frames:v 1 thumb.png # best thumbnail from first 300 frames
ffmpeg -ss 00:00:05 -i input.mp4 -frames:v 1 screenshot.png # single frame at timestamp
ffmpeg -i input.mp4 -vf "select='gt(scene,0.3)'" -vsync vfr cut_%04d.png # first frame of each detected cut
The scene score is a frame-pair difference: it catches hard cuts but misses gradual transitions (dissolves/fades) and within-shot content changes; pans can false-positive. For robust shot detection use PySceneDetect (scenedetect -i input.mp4 list-scenes).
ffmpeg -i input.mp4 -vf "subtitles=subs.srt" output.mp4 # burn in SRT
ffmpeg -i input.mp4 -vf "ass=subs.ass" output.mp4 # burn in ASS (styled)
ffmpeg -i input.mp4 -i subs.srt -c copy -c:s mov_text output.mp4 # soft subs in MP4
Subtitle rendering uses libass (full ASS/SSA styling support).
ffmpeg -i input.mp4 -vf "drawtext=text='Hello':fontsize=48:fontcolor=white:x=10:y=10" output.mp4
ffmpeg -i input.mp4 -i watermark.png -filter_complex "overlay=W-w-10:H-h-10" output.mp4
ffmpeg -i input.mp4 -vf "drawtext=text='%{pts\:hms}':fontsize=24:fontcolor=white:x=10:y=H-30" output.mp4 # timestamp
ffmpeg -i input.mp4 -af "volume=1.5" output.mp4 # volume boost
ffmpeg -i input.mp4 -af "loudnorm=I=-16:TP=-1.5:LRA=11" output.mp4 # EBU R128 normalization
ffmpeg -i input.mp4 -af "afade=t=in:d=2,afade=t=out:st=58:d=2" output.mp4 # fade in/out
ffmpeg -i input.mp4 -af "highpass=f=200,lowpass=f=3000" output.mp4 # bandpass
ffmpeg -i input.mp4 -an output_silent.mp4 # strip audio
ffmpeg -i video.mp4 -i audio.mp3 -c:v copy -map 0:v -map 1:a output.mp4 # replace audio track
ffmpeg -i shaky.mp4 -vf "vidstabdetect=shakiness=5:accuracy=15" -f null -
ffmpeg -i shaky.mp4 -vf "vidstabtransform=smoothing=10:input=transforms.trf" stabilized.mp4
ffmpeg -i clip1.mp4 -i clip2.mp4 -filter_complex "xfade=transition=fade:duration=1:offset=4" output.mp4
Transition types: fade, wipeleft, wiperight, slideup, slidedown, circlecrop, dissolve, and ~40 more.
ffmpeg -i audio.mp3 -filter_complex "showwavespic=s=1280x240:colors=0x1e90ff" -frames:v 1 waveform.png
ffmpeg -i audio.mp3 -filter_complex "showspectrumpic=s=1280x720" -frames:v 1 spectrum.png
ffmpeg -i input.mp4 -c:v libx264 -crf 28 -preset faster -c:a aac -b:a 128k smaller.mp4
ffmpeg -i input.mp4 -c:v libx265 -crf 32 -preset medium -c:a libopus -b:a 96k smallest.mp4
CRF is the primary quality knob. Preset trades encoding speed for compression efficiency.
Video encoders: libx264, libx265, libvpx (VP8), libvpx-vp9, libsvtav1, librav1e, libaom-av1, libjxl (JPEG XL), gif, png, apng, libwebp Audio encoders: aac, libmp3lame, libopus, libvorbis, flac, ac3, pcm_s16le Subtitle: ASS/SSA (libass), SRT, DVB, DVD, MOV text 426 formats, 562 filters, hardware accel stubs (vaapi, vulkan, opencl — limited use in container)
/home/claude/, deliver to /mnt/user-data/outputs/.-preset faster or -preset veryfast for large files to avoid timeouts.development
Write effective instructions for Claude: project instructions, standalone prompts, and skill content. Use when users need help writing prompts, setting up project instructions, choosing between instruction formats, or improving how they communicate with Claude. Covers writing principles, model-aware calibration, and format selection. For building and testing complete skills, use skill-creator instead.
data-ai
Discover and load skills on demand from /mnt/skills/user/. Use when you need a capability but don't know which skill provides it, when the boot-emitted skill list is names-only and you need a full description, or when you want to list the catalog. Verbs are list (names only), search (rank by name/description match against a query), and show (emit the full SKILL.md for a named skill).
documentation
Reads the visual content of slides, pages, and images the way a human would, not just their embedded text. Use when a PPTX or PDF has image slides, screenshots, charts, scanned figures, or flattened-to-image layouts that the built-in pptx/pdf skills read as empty; when asked to transcribe, describe, OCR, or extract what is shown in an image, slide deck, or document page; or when embedded-text extraction returned little or nothing from a visually rich file. Triggers on 'read this deck', 'what's on these slides', 'transcribe', 'OCR', 'extract text from image', 'describe this chart/diagram', .pptx/.pdf/.png/.jpg with visual content.
development
Portrait Mode for SVGs — foveated vectorization with 4-zone selective detail. Combines vision annotations, MediaPipe segmentation/landmarks, and optional saliency. Like phone portrait mode, but vectorized. Use when vectorizing a portrait or photo where subject detail should outrank background detail.