Interpret video content visually by sampling frames into timestamped contact sheets that can be read as images. Use when: user asks what happens in a video; asks to summarize, describe, review, or QA video content or footage; asks about scenes, actions, people, or objects in a video; needs a storyboard-style overview of a clip; asks to find where something occurs in a video. Triggers on 'watch this video', 'what's in this video', 'summarize the video', 'describe the footage', 'contact sheet', 'storyboard', 'review this clip', 'find the scene where', 'scene detection', 'shot boundaries', 'detect cuts', 'dwell points'. For converting, trimming, or transcoding video, use processing-video instead.
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Use this Skill: https://skilld.dev/gh/oaustegard/claude-skills/parsing-video
This session only. Nothing lands on disk.
≈103 tokens on demand. Your agent reads this file only when SKILL.md points to it.
All notable changes to the parsing-video skill are documented in this file. The format is based on Keep a Changelog.
Source: SKILL.md on GitHub
The skill enables video analysis by generating timestamped contact sheets using standard media tools like ffmpeg. It includes automated dependency management for the 'pillow' library and possesses a standard surface for indirect prompt injection via the visual content it processes.
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Risk: LOW · No issues
Signed by skilld at 4b31e7d. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.
Last checked against GitHub yesterday.
{
"version": "0.4.0"
}