photos-camera-media

dpearson2699/swift-ios-skills · updated Apr 8, 2026

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$npx skills add https://github.com/dpearson2699/swift-ios-skills --skill photos-camera-media
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summary

Modern patterns for photo picking, camera capture, image loading, and media permissions targeting iOS 26+ with Swift 6.2. Patterns are backward-compatible to iOS 16 unless noted.

skill.md

Photos, Camera & Media

Modern patterns for photo picking, camera capture, image loading, and media permissions targeting iOS 26+ with Swift 6.2. Patterns are backward-compatible to iOS 16 unless noted.

See references/photospicker-patterns.md for complete picker recipes and references/camera-capture.md for AVCaptureSession patterns.

Contents

PhotosPicker (SwiftUI, iOS 16+)

PhotosPicker is the native SwiftUI replacement for UIImagePickerController. It runs out-of-process, requires no photo library permission for browsing, and supports single or multi-selection with media type filtering.

Single Selection

import SwiftUI
import PhotosUI

struct SinglePhotoPicker: View {
    @State private var selectedItem: PhotosPickerItem?
    @State private var selectedImage: Image?

    var body: some View {
        VStack {
            if let selectedImage {
                selectedImage
                    .resizable()
                    .scaledToFit()
                    .frame(maxHeight: 300)
            }

            PhotosPicker("Select Photo", selection: $selectedItem, matching: .images)
        }
        .onChange(of: selectedItem) { _, newItem in
            Task {
                if let data = try? await newItem?.loadTransferable(type: Data.self),
                   let uiImage = UIImage(data: data) {
                    selectedImage = Image(uiImage: uiImage)
                }
            }
        }
    }
}

Multi-Selection

struct MultiPhotoPicker: View {
    @State private var selectedItems: [PhotosPickerItem] = []
    @State private var selectedImages: [Image] = []

    var body: some View {
        VStack {
            ScrollView(.horizontal) {
                HStack {
                    ForEach(selectedImages.indices, id: \.self) { index in
                        selectedImages[index]
                            .resizable()
                            .scaledToFill()
                            .frame(width: 100, height: 100)
                            .clipShape(RoundedRectangle(cornerRadius: 8))
                    }
                }
            }

            PhotosPicker(
                "Select Photos",
                selection: $selectedItems,
                maxSelectionCount: 5,
                matching: .images
            )
        }
        .onChange(of: selectedItems) { _, newItems in
            Task {
                selectedImages = []
                for item in newItems {
                    if let data = try? await item.loadTransferable(type: Data.self),
                       let uiImage = UIImage(data: data) {
                        selectedImages.append(Image(uiImage: uiImage))
                    }
                }
            }
        }
    }
}

Media Type Filtering

Filter with PHPickerFilter composites to restrict selectable media:

// Images only
PhotosPicker(selection: $items, matching: .images)

// Videos only
PhotosPicker(selection: $items, matching: .videos)

// Live Photos only
PhotosPicker(selection: $items, matching: .livePhotos)

// Screenshots only
PhotosPicker(selection: $items, matching: .screenshots)

// Images and videos combined
PhotosPicker(selection: $items, matching: .any(of: [.images, .videos]))

// Images excluding screenshots
PhotosPicker(selection: $items, matching: .all(of: [.images, .not(.screenshots)]))

Loading Selected Items with Transferable

PhotosPickerItem loads content asynchronously via loadTransferable(type:). Define a Transferable type for automatic decoding:

struct PickedImage: Transferable {
    let data: Data
    let image: Image

    static var transferRepresentation: some TransferRepresentation {
        DataRepresentation(importedContentType: .image) { data in
            guard let uiImage = UIImage(data: data) else {
                throw TransferError.importFailed
            }
            return PickedImage(data: data, image: Image(uiImage: uiImage))
        }
    }
}

enum TransferError: Error {
    case importFailed
}

// Usage
if let picked = try? await item.loadTransferable(type: PickedImage.self) {
    selectedImage = picked.image
}

Always load in a Task to avoid blocking the main thread. Handle nil returns and thrown errors -- the user may select a format that cannot be decoded.

Privacy and Permissions

Photo Library Access Levels

iOS provides two access levels fo

how to use photos-camera-media

How to use photos-camera-media 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 photos-camera-media
2

Execute installation command

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

$npx skills add https://github.com/dpearson2699/swift-ios-skills --skill photos-camera-media

The skills CLI fetches photos-camera-media from GitHub repository dpearson2699/swift-ios-skills 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/photos-camera-media

Reload or restart Cursor to activate photos-camera-media. Access the skill through slash commands (e.g., /photos-camera-media) 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

Submit your Claude Code skill and start earning

GET_STARTED →

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)
  • No comments yet — start the thread.
general reviews

Ratings

4.860 reviews
  • Benjamin Khan· Dec 28, 2024

    Keeps context tight: photos-camera-media is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sakura Kapoor· Dec 20, 2024

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

  • Hiroshi Sethi· Dec 16, 2024

    photos-camera-media is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kiara Abebe· Dec 12, 2024

    photos-camera-media reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Benjamin Bhatia· Dec 12, 2024

    Registry listing for photos-camera-media matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Aisha Agarwal· Nov 23, 2024

    Keeps context tight: photos-camera-media is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Kabir Bhatia· Nov 11, 2024

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

  • Benjamin Chawla· Nov 3, 2024

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

  • Zaid Flores· Nov 3, 2024

    Useful defaults in photos-camera-media — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Zaid Thompson· Oct 22, 2024

    Useful defaults in photos-camera-media — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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