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FFmpeg-based video creation from image and audio.
4 of 22 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 5 comparable cases; this report requires 8.
This benchmark measured an earlier version of the skill.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
When generating a spectrum visualization video from `/data/pic.jpg` and `/data/audio.mp3`, the script failed with a filtergraph error. How can I complete the video generation cleanly without filter issues?
| Checked | Without skill | With skill |
|---|---|---|
| Suggests falling back to --visualization static | Missed | Passed |
The instructions your model reads when the skill loads.
Combine a static image with an audio file to produce an MP4 via FFmpeg. Supports resolution presets, audio visualization overlays, and batch processing. For image generation, use image-gen.
| Signal | Load | Why |
|---|---|---|
| FFmpeg filter graphs for visualization modes | references/ffmpeg-filters.md | Scale/pad, showwaves, showspectrum, overlay filters |
ffmpeg -version. If missing, stop with install instructions.| Preset | Dimensions | Platform |
|---|---|---|
1080p | 1920x1080 | YouTube HD (default) |
720p | 1280x720 | Standard HD |
square | 1080x1080 | Instagram, social |
vertical | 1080x1920 | Stories, Reels, TikTok |
Visualization modes (off unless requested): waveform, spectrum, cqt, bars.
Gate: FFmpeg installed, both files exist, parameters resolved.
Use the user's output path or derive from audio filename (/same/dir/filename.mp4). Verify directory is writable.
Defaults: libx264 preset medium, CRF 23, yuv420p, 192k AAC.
python3 $HOME/vexjoy-agent/skills/content/image-to-video/scripts/image_to_video.py \
--image /path/to/image.png --audio /path/to/audio.mp3 \
--output /path/to/output.mp4 --resolution 1080p --visualization static
test cases passed with the skill
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