agentleFS
thatjuanthatjuan/agent-skills/skills/integrations/video-analysis/SKILL.md

video-analysis

Skill1 starsChanged 53 days agoNo licenceView on GitHub

Analyze what a video shows, from a link or a local file: fetch it, then pull time-stamped contact sheets, frames at exact moments, motion bursts, crops of on-screen text, scene cuts, and black, frozen, or silent stretches with ffmpeg, or ask Gemini about the whole video. Use when a question about a video depends on what is on screen: describing or reviewing footage, finding when something happens, reading code, slides, or UI shown in it, following a bug repro or screen recording, critiquing an ad's edit and pacing, counting or timing events, checking a file's technical quality, or pulling the screens shared in a recorded meeting (Zoom, Teams, Meet) to match what its transcript says.

  • Reads credentials

8 other projects use a version of this.

Adopted by

Most recently taken up by

The file

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.