axiom-ios-vision

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

charleswiltgen/axiomUpdated May 25, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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total installs

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Install Skill

Run in your terminal

$npx skills add https://github.com/charleswiltgen/axiom --skill axiom-ios-vision

1

installs

1

this week

767

stars

Installation Guide

How to use axiom-ios-vision on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add axiom-ios-vision
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/charleswiltgen/axiom --skill axiom-ios-vision

Fetches axiom-ios-vision from charleswiltgen/axiom and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/axiom-ios-vision

Restart Cursor to activate axiom-ios-vision. Access via /axiom-ios-vision in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

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

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

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Steps

  1. 1Install product management skill
  2. 2Start with user story generation for known feature
  3. 3Progress to competitive analysis: research 2-3 competitors
  4. 4Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5Draft stakeholder communications and refine based on feedback
  6. 6Build template library for recurring PM tasks
  7. 7Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use when

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid when

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Related Skills

Reviews

4.661 reviews
  • K
    Kofi RahmanDec 24, 2024

    axiom-ios-vision reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • K
    Kofi FarahDec 8, 2024

    Useful defaults in axiom-ios-vision — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • M
    Mei RaoDec 4, 2024

    Keeps context tight: axiom-ios-vision is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • K
    Kaira FloresDec 4, 2024

    axiom-ios-vision is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • K
    Kofi FloresNov 27, 2024

    I recommend axiom-ios-vision for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • K
    Kofi AbbasNov 23, 2024

    axiom-ios-vision is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • K
    Kaira LopezNov 23, 2024

    Keeps context tight: axiom-ios-vision is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • D
    Diya JacksonNov 19, 2024

    We added axiom-ios-vision from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • E
    Evelyn TaylorNov 15, 2024

    Solid pick for teams standardizing on skills: axiom-ios-vision is focused, and the summary matches what you get after install.

  • D
    Diya ThomasNov 15, 2024

    axiom-ios-vision has been reliable in day-to-day use. Documentation quality is above average for community skills.

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