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Apple computer vision with the Vision framework v1.0.0

Use this resource to implement a computer vision feature with Vision

New

  • 466 downloads
  • 214 likes
  • 168 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install apple-vision-framework-tasks

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 uses the Vision framework references for subject segmentation and lifting, hand and body pose detection, text recognition, barcodes, document scanning and DataScannerViewController. You get an implementation or a diagnosis based on those references.

Mostly picked by

Updated November 2, 2026

Card for the “Apple computer vision with the Vision framework” skill

Details

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

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What you get

  • SKILL.md: routing and critical patterns
  • skills/vision-framework.md: Vision APIs and examples
  • skills/vision-diag.md: Vision issue diagnosis

Good fit for

  • You want to read text from a photo
  • You detect a hand pose to trigger a command

Not for

    Tags

    • vision
    • ocr
    • barcodes
    • pose
    • ios

    About

    You say

    “Add QR and barcode reading to my iOS scanning screen.”

    Card for the “Apple computer vision with the Vision framework” skill

    Skill published by charleswiltgen 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 implement a computer vision feature with Vision
    3. Review and adjust the result

    Content preview

    Files

    • agents/openai.yaml0.1 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.3 KB
    • skills/vision-diag.md34.8 KB
    • skills/vision-framework.md38.7 KB
    • skills/vision-ref.md54.9 KB

    Origin and licence

    Listed unmodified

    Author
    charleswiltgen
    Source
    github.com/charleswiltgen/axiom/tree/8e025d50707116c3cf52c274b5b200213999a927/axiom-codex/skills/axiom-vision
    Licence
    MIT

    Notice

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

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