axiom-camera-capture

charleswiltgen/axiom · updated Apr 8, 2026

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$npx skills add https://github.com/charleswiltgen/axiom --skill axiom-camera-capture
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summary

Guides you through implementing camera capture: session setup, photo capture, video recording, responsive capture UX, rotation handling, and session lifecycle management.

skill.md

Camera Capture with AVFoundation

Guides you through implementing camera capture: session setup, photo capture, video recording, responsive capture UX, rotation handling, and session lifecycle management.

When to Use This Skill

Use when you need to:

  • ☑ Build a custom camera UI (not system picker)
  • ☑ Capture photos with quality/speed tradeoffs
  • ☑ Record video with audio
  • ☑ Handle device rotation correctly (RotationCoordinator)
  • ☑ Make capture feel responsive (zero-shutter-lag)
  • ☑ Handle session interruptions (phone calls, multitasking)
  • ☑ Switch between front/back cameras
  • ☑ Configure capture quality and resolution

Example Prompts

"How do I set up a camera preview in SwiftUI?" "My camera freezes when I get a phone call" "The photo preview is rotated wrong on front camera" "How do I make photo capture feel instant?" "Should I use deferred processing?" "My camera takes too long to capture" "How do I switch between front and back cameras?" "How do I record video with audio?"

Red Flags

Signs you're making this harder than it needs to be:

  • ❌ Calling startRunning() on main thread (blocks UI for seconds)
  • ❌ Using deprecated videoOrientation instead of RotationCoordinator (iOS 17+)
  • ❌ Not observing session interruptions (app freezes on phone call)
  • ❌ Creating new AVCaptureSession for each capture (expensive)
  • ❌ Using .photo preset for video (wrong format)
  • ❌ Ignoring photoQualityPrioritization (slow captures)
  • ❌ Not handling .notAuthorized permission state
  • ❌ Modifying session without beginConfiguration()/commitConfiguration()
  • ❌ Using UIImagePickerController for custom camera UI (limited control)

Mandatory First Steps

Before implementing any camera feature:

1. Choose Your Capture Mode

What do you need?

┌─ Just let user pick a photo?
│  └─ Don't use AVFoundation - use PHPicker or PhotosPicker
│     See: /skill axiom-photo-library
├─ Simple photo/video capture with system UI?
│  └─ UIImagePickerController (but limited customization)
├─ Custom camera UI with photo capture?
│  └─ AVCaptureSession + AVCapturePhotoOutput
│     → Continue with this skill
├─ Custom camera UI with video recording?
│  └─ AVCaptureSession + AVCaptureMovieFileOutput
│     → Continue with this skill
└─ Both photo and video in same session?
   └─ AVCaptureSession + both outputs
      → Continue with this skill

2. Request Camera Permission

import AVFoundation

func requestCameraAccess() async -> Bool {
    let status = AVCaptureDevice.authorizationStatus(for: .video)

    switch status {
    case .authorized:
        return true
    case .notDetermined:
        return await AVCaptureDevice.requestAccess(for: .video)
    case .denied, .restricted:
        // Show settings prompt
        return false
    @unknown default:
        return false
    }
}

Info.plist required:

<key>NSCameraUsageDescription</key>
<string>Take photos and videos</string>

For audio (video recording):

<key>NSMicrophoneUsageDescription</key>
<string>Record audio with video</string>

3. Understand Session Architecture

AVCaptureSession
    ├─ Inputs
    │   ├─ AVCaptureDeviceInput (camera)
    │   └─ AVCaptureDeviceInput (microphone, for video)
    ├─ Outputs
    │   ├─ AVCapturePhotoOutput (photos)
    │   ├─ AVCaptureMovieFileOutput (video files)
    │   └─ AVCaptureVideoDataOutput (raw frames)
    └─ Connections (automatic between compatible input/output)

Key rule: All session configuration happens on a dedicated serial queue, never main thread.

Core Patterns

Pattern 1: Basic Session Setup

Use case: Set up camera preview with photo capture capability.

import AVFoundation

class CameraManager: NSObject {
    let session = AVCaptureSession()
    let photoOutput = AVCapturePhotoOutput()

    // CRITICAL: Dedicated serial queue for session work
    private let sessionQueue = DispatchQueue(label: "camera.session")

    func setupSession() {
        sessionQueue.async { [self] in
            session.beginConfiguration()
            defer { session.commitConfiguration() }

            // 1. Set session preset
            session.sessionPreset = .photo

            // 2. Add camera input
            guard let camera = AVCaptureDevice.default(.builtInWideAngleCamera,
                                                        for: .video,
                                                        position: .back),
                  let input = try? AVCaptureDeviceInput(device: camera),
                  session.canAddInput(input) else {
                return
            }
            session.addInput(input)

            // 3. Add photo output
            guard session.canAddOutput(photoOutput) else { return }
            session.addOutput(photoOutput)

            // 4. Configure photo output
            photoOutput.isHighResolutionCaptureEnabled = true
            photoOutput.maxPhotoQualityPrioritization = .quality
        }
    }

    func startSession() {
        sessionQueue.async { [self] in
            if !session.isRunning {
                session.startRunning()  // Blocking call - never on main thread!
            }
        }
    }

    func stopSession() {
        sessionQueue.async { [self] in
            if session.isRunning {
                session.stopRunning()
            }
        }
    }
}

Cost: 30 min implementation

Pattern 2: SwiftUI Camera Preview

Use case: Display camera preview in SwiftUI view.

import SwiftUI
import AVFoundation

struct CameraPreview: UIViewRepresentable {
    let session: AVCaptureSession

    func makeUIView(context: Context) -> PreviewView {
        let view = PreviewView()
        view.previewLayer.session = session
        view.previewLayer.videoGravity = .resizeAspectFill
        return view
    }

    func updateUIView(_ uiView: PreviewView, context: Context) {}

    class PreviewView: UIView {
        override class var layerClass: AnyClass { AVCaptureVideoPreviewLayer.self }
        var previewLayer: AVCaptureVideoPreviewLayer { layer as! AVCaptureVideoPreviewLayer }
    }
}

// Usage in SwiftUI
struct CameraView: View {
    @StateObject private var camera = CameraManager()

    var body: 
how to use axiom-camera-capture

How to use axiom-camera-capture 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 development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add axiom-camera-capture
2

Execute installation 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-camera-capture

The skills CLI fetches axiom-camera-capture from GitHub repository charleswiltgen/axiom and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/axiom-camera-capture

Reload or restart Cursor to activate axiom-camera-capture. Access the skill through slash commands (e.g., /axiom-camera-capture) or your agent's skill management interface.

Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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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

Installation Steps

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

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.743 reviews
  • Diego Kapoor· Dec 28, 2024

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

  • Shikha Mishra· Dec 16, 2024

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

  • Camila White· Nov 19, 2024

    axiom-camera-capture fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Rahul Santra· Nov 7, 2024

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

  • Pratham Ware· Oct 26, 2024

    axiom-camera-capture fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Diego Thomas· Oct 10, 2024

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

  • Oshnikdeep· Sep 17, 2024

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

  • Neel Verma· Sep 13, 2024

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

  • Neel Huang· Sep 13, 2024

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

  • Diego Ndlovu· Sep 1, 2024

    axiom-camera-capture fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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