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Computer vision pipeline design v1.0.0

Use this resource to design or evaluate a computer vision pipeline

New

  • 391 downloads
  • 149 likes
  • 203 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install computer-vision-pipeline-design

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 picks the detection, segmentation or visual reasoning architecture, plans deployment and real-time constraints, then reviews the pipeline. You get an architecture review and evaluation recommendations.

Mostly picked by

Updated November 2, 2026

Card for the “Computer vision pipeline design” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: detection, segmentation, vision-language models and geometry
  • SKILL.md: design patterns and a deployment-first approach

Good fit for

  • You need to detect objects in real time from a camera
  • A segmentation prototype must scale up for production

Not for

    Tags

    • vision
    • detection
    • segmentation
    • yolo
    • real-time

    About

    You say

    “Design a real-time detection pipeline for dock cameras, with the latency constraints it must meet.”

    Card for the “Computer vision pipeline design” skill

    Skill published by sickn33 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 design or evaluate a computer vision pipeline
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md5.3 KB

    Origin and licence

    Listed unmodified

    Author
    sickn33
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/computer-vision-expert
    Licence
    MIT

    Notice

    « computer-vision-expert » (sickn33, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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