axiom-vision

name	axiom-vision
description	Use when implementing ANY computer vision feature — image analysis, pose detection, person segmentation, subject lifting, text recognition, barcode scanning.
license	MIT

Computer Vision

You MUST use this skill for ANY computer vision work using the Vision framework.

Quick Reference

Symptom / Task	Reference
Subject segmentation, lifting	See skills/vision-framework.md
Hand/body pose detection	See skills/vision-framework.md
Text recognition (OCR)	See skills/vision-framework.md
Barcode/QR code detection	See skills/vision-framework.md
Document scanning	See skills/vision-framework.md
DataScannerViewController	See skills/vision-framework.md
Structured document extraction (iOS 26+)	See skills/vision-framework.md
Isolate object excluding hand	See skills/vision-framework.md
Tap-to-segment any object OS27	See skills/vision-ref.md
Vision on watchOS watchOS27	See skills/vision-ref.md
Vision tools for Foundation Models (BarcodeReaderTool, OCRTool) OS27	See skills/vision-ref.md
Vision framework API reference	See skills/vision-ref.md
Visual Intelligence integration (iOS 26+, iPadOS27/macOS27)	See skills/vision-ref.md
Sensitive content classification (nudity/gore/violence), categorized via detectedTypes (OS27)	See skills/vision-ref.md
Group/cluster faces into people across a library, video highlights/key frames (OS27)	Use axiom-media (skills/media-intelligence.md) instead — MediaIntelligence clusters identities; Vision detects faces in one image
Subject not detected	See skills/vision-diag.md
Hand/body pose missing landmarks	See skills/vision-diag.md
Low confidence observations	See skills/vision-diag.md
UI freezing during processing	See skills/vision-diag.md
Coordinate conversion bugs	See skills/vision-diag.md
Text not recognized / wrong chars	See skills/vision-diag.md
Barcode not detected	See skills/vision-diag.md
DataScanner blank / no items	See skills/vision-diag.md
Document edges not detected	See skills/vision-diag.md

Decision Tree

digraph vision {
    start [label="Computer vision task" shape=ellipse];
    what [label="What do you need?" shape=diamond];

    start -> what;
    what -> "skills/vision-framework.md" [label="implement feature"];
    what -> "skills/vision-ref.md" [label="API reference"];
    what -> "skills/vision-ref.md" [label="Visual Intelligence"];
    what -> "skills/vision-ref.md" [label="tap-to-segment / watchOS / FM tools (27)"];
    what -> "skills/vision-diag.md" [label="something broken"];
}

1. Implementing (pose, segmentation, OCR, barcodes, documents, live scanning)? → skills/vision-framework.md
2. Visual Intelligence system integration (camera/screenshot search; iOS 26+, iPadOS27/macOS27)? → skills/vision-ref.md (Visual Intelligence section)
3. Tap-to-segment, Vision on watchOS, or Vision tools for Foundation Models (27 cycle)? → skills/vision-ref.md
4. Need API reference / code examples? → skills/vision-ref.md
5. Debugging issues (detection failures, confidence, coordinates)? → skills/vision-diag.md

Critical Patterns

Implementation (skills/vision-framework.md):

• Decision tree for choosing the right Vision API
• Subject segmentation with VisionKit
• Isolating objects while excluding hands (combining APIs)
• Hand/body pose detection (21/19 landmarks)
• Text recognition (fast vs accurate modes)
• Barcode detection with symbology selection
• Document scanning and structured extraction (iOS 26+)
• Live scanning with DataScannerViewController
• CoreImage HDR compositing

Diagnostics (skills/vision-diag.md):

• Subject detection failures (edge of frame, lighting)
• Landmark tracking issues (confidence thresholds)
• Performance optimization (frame skipping, downscaling)
• Coordinate conversion (lower-left vs top-left origin)
• Text recognition failures (language, contrast)
• Barcode detection issues (symbology, size, glare)
• DataScanner troubleshooting (availability, data types)

Anti-Rationalization

Thought	Reality
"Vision framework is just a request/handler pattern"	Vision has coordinate conversion, confidence thresholds, and performance gotchas. vision-framework.md covers them.
"I'll handle text recognition without the skill"	VNRecognizeTextRequest has fast/accurate modes and language-specific settings. vision-framework.md has the patterns.
"Subject segmentation is straightforward"	Instance masks have HDR compositing and hand-exclusion patterns. vision-framework.md covers complex scenarios.
"Visual Intelligence is just the camera API"	Visual Intelligence is a system-level feature requiring IntentValueQuery and SemanticContentDescriptor. vision-ref.md has the integration section.
"I'll just process on the main thread"	Vision blocks UI on older devices. Users on iPhone 12 will experience frozen app. 15 min to add background queue.

Example Invocations

User: "How do I detect hand pose in an image?" → See skills/vision-framework.md

User: "Isolate a subject but exclude the user's hands" → See skills/vision-framework.md

User: "How do I read text from an image?" → See skills/vision-framework.md

User: "Scan QR codes with the camera" → See skills/vision-framework.md

User: "Subject detection isn't working" → See skills/vision-diag.md

User: "Text recognition returns wrong characters" → See skills/vision-diag.md

User: "Show me VNDetectHumanBodyPoseRequest examples" → See skills/vision-ref.md

User: "How do I make my app work with Visual Intelligence?" → See skills/vision-ref.md

User: "Let users tap an object in a photo to cut it out" → See skills/vision-ref.md (Iterative Segmentation)

User: "Can I use Vision in my watchOS app?" → See skills/vision-ref.md (Vision on watchOS)

User: "RecognizeDocumentsRequest API reference" → See skills/vision-ref.md

User: "Group faces into people across my library" / "cluster faces on-device into persons" → Use axiom-media (skills/media-intelligence.md) — identity clustering across assets, not per-image detection