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Extract and analyze video frames v1.0.0

Use this resource to extract frames from a video and analyze on-screen text and visual elements

New

  • 580 downloads
  • 228 likes
  • 192 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install video-frame-extraction

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent sets extraction parameters, uses ffmpeg to pull frames, assembles 3x3 grids, then runs visual analysis. You get an inventory of on-screen elements and a verified report.

Updated November 2, 2026

Card for the “Extract and analyze video frames” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: parameters, ffmpeg extraction and 3x3 grids
  • SKILL.md: visual analysis, verification and report

Good fit for

  • You must catalog settings shown in a video demo
  • A video needs a summary without watching it all

Not for

    Tags

    • video
    • frames
    • extraction
    • visual analysis

    About

    You say

    “Extract one frame every five seconds from this video and list the on-screen text.”

    Card for the “Extract and analyze video frames” skill

    Skill published by jamditis under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to extract frames from a video and analyze on-screen text and visual elements
    3. Review and adjust the result

    Content preview

    Files

    • agents/openai.yaml0.1 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md7.8 KB

    Origin and licence

    Listed unmodified

    Author
    jamditis
    Source
    github.com/jamditis/claude-skills-journalism/tree/f0fea787072c174adaa6e4dfa3fa7565f169baad/video-toolkit/skills/video-frames
    Licence
    MIT

    Notice

    « video-frames » (jamditis, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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