axiom-ios-vision

5
2
Source

Use when implementing ANY computer vision feature - image analysis, object detection, pose detection, person segmentation, subject lifting, hand/body pose tracking.

Install

mkdir -p .claude/skills/axiom-ios-vision && curl -L -o skill.zip "https://mcp.directory/api/skills/download/7378" && unzip -o skill.zip -d .claude/skills/axiom-ios-vision && rm skill.zip

Installs to .claude/skills/axiom-ios-vision

About this skill

iOS 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
  • IntentValueQuery and SemanticContentDescriptor
  • 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

  1. Implementing (pose, segmentation, OCR, barcodes, documents, live scanning)? → vision
  2. Visual Intelligence system integration (camera feature, iOS 26+)? → vision-ref (Visual Intelligence section)
  3. Need API reference / code examples? → vision-ref
  4. Debugging issues (detection failures, confidence, coordinates)? → vision-diag

Anti-Rationalization

ThoughtReality
"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

axiom-swiftui-nav-diag

CharlesWiltgen

Use when debugging navigation not responding, unexpected pops, deep links showing wrong screen, state lost on tab switch or background, crashes in navigationDestination, or any SwiftUI navigation failure - systematic diagnostics with production crisis defense

64

axiom-swiftui-26-ref

CharlesWiltgen

Use when implementing iOS 26 SwiftUI features - covers Liquid Glass design system, performance improvements, @Animatable macro, 3D spatial layout, scene bridging, WebView/WebPage, AttributedString rich text editing, drag and drop enhancements, and visionOS integration for iOS 26+

33

axiom-extensions-widgets-ref

CharlesWiltgen

Use when implementing widgets, Live Activities, Control Center controls, or app extensions - comprehensive API reference for WidgetKit, ActivityKit, App Groups, and extension lifecycle for iOS 14+

23

axiom-ios-build

CharlesWiltgen

Use when ANY iOS build fails, test crashes, Xcode misbehaves, or environment issue occurs before debugging code. Covers build failures, compilation errors, dependency conflicts, simulator problems, environment-first diagnostics.

283

axiom-camera-capture-ref

CharlesWiltgen

Reference — AVCaptureSession, AVCapturePhotoSettings, AVCapturePhotoOutput, RotationCoordinator, photoQualityPrioritization, deferred processing, AVCaptureMovieFileOutput, session presets, capture device APIs

42

coreml

CharlesWiltgen

Use when deploying custom ML models on-device, converting PyTorch models, compressing models, implementing LLM inference, or optimizing CoreML performance. Covers model conversion, compression, stateful models, KV-cache, multi-function models, MLTensor.

52

You might also like

ui-ux-pro-max

nextlevelbuilder

"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."

1,5591,558

flutter-development

aj-geddes

Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.

1,8261,484

drawio-diagrams-enhanced

jgtolentino

Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.

1,7071,236

godot

bfollington

This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.

1,612905

pdf-to-markdown

aliceisjustplaying

Convert entire PDF documents to clean, structured Markdown for full context loading. Use this skill when the user wants to extract ALL text from a PDF into context (not grep/search), when discussing or analyzing PDF content in full, when the user mentions "load the whole PDF", "bring the PDF into context", "read the entire PDF", or when partial extraction/grepping would miss important context. This is the preferred method for PDF text extraction over page-by-page or grep approaches.

1,896835

nano-banana-pro

garg-aayush

Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.

1,436791