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CLIP: image classification and search v1.0.0

Use this resource to classify images or search by text with CLIP, without training

New

  • 379 downloads
  • 137 likes
  • 135 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install clip-zero-shot-image-search

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 up CLIP for zero-shot classification, image-text matching and image search. You get inference code and a model choice based on size and need.

Mostly picked by

Updated November 2, 2026

Card for the “CLIP: image classification and search” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: use cases, installation and a zero-shot classification example
  • references/applications.md: search and moderation applications

Good fit for

  • You want to sort a photo library by description without tagging each image
  • You need to filter inappropriate visual content

Not for

    Tags

    • clip
    • vision
    • image search
    • zero-shot

    About

    You say

    “Classify these product photos by the labels “shoe”, “bag” and “clothing”, without training.”

    Card for the “CLIP: image classification and search” skill

    Skill published by davila7 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 classify images or search by text with CLIP, without training
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/applications.md5.4 KB
    • SKILL.md7 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/multimodal-clip
    Licence
    MIT

    Notice

    « multimodal-clip » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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