About axiom-ios-vision
axiom-ios-vision is a routing skill for iOS developers using the Vision framework. It directs implementation, API reference, Visual Intelligence integration, and troubleshooting questions to focused skills.
Key features
- 01Routes image and video analysis tasks
- 02Covers pose, segmentation, and face detection
- 03Directs OCR, barcode, and document scanning
- 04Provides Visual Intelligence integration guidance
- 05Routes detection and performance diagnostics
Use cases
- 01Implementing hand or body pose detection
- 02Recognizing text or barcodes in images
- 03Building live or document scanning
- 04Diagnosing missing detections or coordinate issues
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/axiom-ios-visionin Claude Code to confirm it loaded.
Details
From the project READMEiOS Computer Vision Router
You MUST use this skill for ANY computer vision work using the Vision framework.
When to Use
Use this router when:
- Analyzing images or video
- Detecting objects, faces, or people
- Tracking hand or body pose
- Segmenting people or subjects
- Lifting subjects from backgrounds
- Recognizing text in images (OCR)
- Detecting barcodes or QR codes
- Scanning documents
- Using VisionKit or DataScannerViewController
- Integrating with Visual Intelligence (iOS 26+ system camera feature)
Routing Logic
Vision Work
Implementation patterns → /skill axiom-vision
- Subject segmentation (VisionKit)
- Hand pose detection (21 landmarks)
- Body pose detection (2D/3D)
- Person segmentation
- Face detection
- Isolating objects while excluding hands
- Text recognition (VNRecognizeTextRequest)
- Barcode/QR detection (VNDetectBarcodesRequest)
- Document scanning (VNDocumentCameraViewController)
- Live scanning (DataScannerViewController)
- Structured document extraction (RecognizeDocumentsRequest, iOS 26+)
API reference → /skill axiom-vision-ref
- Complete Vision framework API
- VNDetectHumanHandPoseRequest
- VNDetectHumanBodyPoseRequest
- VNGenerateForegroundInstanceMaskRequest
- VNRecognizeTextRequest (fast/accurate modes)
- VNDetectBarcodesRequest (symbologies)
- DataScannerViewController delegates
- RecognizeDocumentsRequest (iOS 26+)
- Coordinate conversion patterns
Visual Intelligence integration → /skill axiom-vision-ref (see Visual Intelligence Integration section)
- Making app content discoverable to Visual Intelligence camera
IntentValueQueryandSemanticContentDescriptor- Deep linking from Visual Intelligence results
Diagnostics → /skill axiom-vision-diag
- Subject not detected
- Hand pose missing landmarks
- Low confidence observations
- Performance issues
- Coordinate conversion bugs
- Text not recognized or wrong characters
- Barcodes not detected
- DataScanner showing blank or no items
- Document edges not detected
Decision Tree
- Implementing (pose, segmentation, OCR, barcodes, documents, live scanning)? → vision
- Visual Intelligence system integration (camera feature, iOS 26+)? → vision-ref (Visual Intelligence section)
- Need API reference / code examples? → vision-ref
- Debugging issues (detection failures, confidence, coordinates)? → vision-diag
Anti-Rationalization
| Thought | Reality |
|---|---|
| "Vision framework is just a request/handler pattern" | Vision has coordinate conversion, confidence thresholds, and performance gotchas. vision covers them. |
| "I'll handle text recognition without the skill" | VNRecognizeTextRequest has fast/accurate modes and language-specific settings. vision has the patterns. |
| "Subject segmentation is straightforward" | Instance masks have HDR compositing and hand-exclusion patterns. vision covers complex scenarios. |
| "Visual Intelligence is just the camera API" | Visual Intelligence is a system-level feature requiring IntentValueQuery and SemanticContentDescriptor. vision-ref has the integration section. |
Critical Patterns
vision:
- Subject segmentation with VisionKit
- Hand pose detection (21 landmarks)
- Body pose detection (2D/3D, up to 4 people)
- Isolating objects while excluding hands
- CoreImage HDR compositing
- Text recognition (fast vs accurate modes)
- Barcode detection (symbology selection)
- Document scanning with perspective correction
- Live scanning with DataScannerViewController
- Structured document extraction (iOS 26+)
vision-diag:
- Subject detection failures
- Landmark tracking issues
- Performance optimization
- Observation confidence thresholds
- Text recognition failures (language, contrast)
- Barcode detection issues (symbology, distance)
- DataScanner troubleshooting
- Document edge detection problems
Example Invocations
User: "How do I detect hand pose in an image?"
→ Invoke: /skill axiom-vision
User: "Isolate a subject but exclude the user's hands"
→ Invoke: /skill axiom-vision
User: "How do I read text from an image?"
→ Invoke: /skill axiom-vision
User: "Scan QR codes with the camera"
→ Invoke: /skill axiom-vision
User: "How do I implement document scanning?"
→ Invoke: /skill axiom-vision
User: "Use DataScannerViewController for live text"
→ Invoke: /skill axiom-vision
User: "Subject detection isn't working"
→ Invoke: /skill axiom-vision-diag
User: "Text recognition returns wrong characters"
→ Invoke: /skill axiom-vision-diag
User: "Barcode not being detected"
→ Invoke: /skill axiom-vision-diag
User: "Show me VNDetectHumanBodyPoseRequest examples"
→ Invoke: /skill axiom-vision-ref
User: "What symbologies does VNDetectBarcodesRequest support?"
→ Invoke: /skill axiom-vision-ref
User: "RecognizeDocumentsRequest API reference"
→ Invoke: /skill axiom-vision-ref
User: "How do I make my app work with Visual Intelligence?"
→ Invoke: /skill axiom-vision-ref
User: "How do users discover my app content through the camera?"
→ Invoke: /skill axiom-vision-ref