Parse ffmpeg detect filter outputs into JSON-friendly results for media pipelines.
npx skills add https://github.com/damionrashford/media-os --skill ffmpeg-detect
Please help me install this Agent Skill. Skill: ffmpeg-detect Source: https://github.com/damionrashford/media-os/tree/main/skills/ffmpeg-detect Command: npx skills add https://github.com/damionrashford/media-os --skill ffmpeg-detect
Detects and interprets ffmpeg analysis filters to enable scripted, read-only inspection of media without modifying source, enabling automated decision-making in video pipelines.
Run the detect.py script with a detector and an input media file to produce structured results.
High-intent search queries and answers about installing and using this skill.
Scene detection and silence trimming with ffmpeg are automated by running Python scripts that execute ffmpeg analysis filters like scdet and silencedetect, parsing stderr to output structured, JSON-friendly results for downstream decision-making in media pipelines.
Timecode and caption extraction with ffmpeg detect filters is supported through readvitc and readeia608, parsing the filter outputs into structured JSON data to enable automated timecode and caption extraction during pre-encode quality control.
Automated autocropping with ffmpeg cropdetect is best handled by running a Python script that executes the cropdetect filter, parses the stderr output, and returns JSON-friendly results to drive deterministic second pass encoding decisions.
This ffmpeg analysis approach does not modify source video files, as it performs scripted, read-only inspection of media using various -vf and -af detectors to enable automated decision-making without altering the original source.
Interlace checks with ffmpeg idet are performed by running Python scripts that execute the idet filter, parse the stderr output, and present structured results to automate interlace detection in video processing pipelines.
Supported ffmpeg detectors for automated video QC include cropdetect, silencedetect, blackdetect, freezedetect, blurdetect, blockdetect, scdet, idet, signalstats, readeia608, readvitc, and volumedetect, all parsed into JSON-friendly outputs.
Quill-AgentConvert video, audio, images, or text into ASCII art videos using Python and ffmpeg.
xianmingyaoConsolidate web searches across Google, Amazon, Yelp, and more into structured JSON.
JosiahSiegelProvide Pythonic interfaces for FFmpeg encoding, filtering, streaming, and metadata extraction.
TheArchitectitExtract and analyze video frames using ffmpeg, ffprobe, and Pillow.
