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App Store Review

CommunityPopular
dpearson2699
app-store-review

Audits App Store submission readiness and rejection risk across current review guidelines, PrivacyInfo.xcprivacy and required-reason APIs, privacy labels, ATT, StoreKit payments, metadata, entitlements, widgets, and Live Activities. Use when preparing a submission, responding to rejection, reconciling privacy evidence, or separating upload blockers from cleanup.

Overview

Publisherdpearson2699
Repositoryswift-ios-skills
Skill nameapp-store-review
Stars
1.2K
Forks
61
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by dpearson2699 on GitHub. Read the source before you install it.

Installation

Install the App Store Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/app-store-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dpearson2699/swift-ios-skills.git /tmp/swift-ios-skills
mkdir -p .claude/skills
cp -r /tmp/swift-ios-skills/skills/app-store-review .claude/skills/app-store-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable App Store Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads App Store Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so App Store Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

App Store Review Preparation

Catch App Store rejection risks before submission. Treat policy, SDK, privacy, entitlement, payment, and metadata checks as current release evidence rather than durable facts.

Contents

Start every audit by fetching the current App Review Guidelines, Upcoming Requirements, screenshot specifications, required-reason API documentation, and applicable storefront/entitlement payment rules. Record the checked date and source beside each release blocker. Then archive-build and validate the exact submission, separate blockers from cleanup, fix one class of evidence mismatch, and rerun the same checks against the rebuilt archive.

For prompts about keywords, screenshot captions, product-page metadata, or metadata rejection risk, answer from a compliance angle and explicitly defer keyword research, ranking strategy, conversion optimization, screenshot ordering, and A/B testing to app-store-optimization. Keep App Review metadata guidance limited to accuracy, field limits, misleading-content risk, and screenshot compliance. Load the dated format, screenshot, and toolchain facts from Current Release Requirements.

For full submission readiness audits, separate blocking upload/review issues from ordinary cleanup. Cross-check privacy manifests, App Store privacy nutrition labels, privacy policy, ATT state, runtime network behavior, and SDK behavior against each other; the declarations and observed behavior must align.

Blocking Submission Checks

Escalate these as blockers before ordinary cleanup:

  • The archive misses the current Xcode or platform SDK upload floor
  • Unresolved privacy evidence mismatches; reconcile them with the PrivacyInfo.xcprivacy requirements
  • Payment paths that fail the StoreKit rules
  • Missing screenshot sets required by the current App Store Connect specification
  • Review access that fails the Guideline 2.1 completeness evidence below

Top Rejection Reasons and How to Avoid Them

Guideline riskRelease evidence
2.1 completenessNo placeholders, broken/empty flows, inaccessible hardware-only features, or login gates without working demo credentials and review notes.
2.3 metadataApp name, category, description, keywords, and screenshots accurately represent the submitted binary and actual UI.
4.2 minimum functionalityThe app provides meaningful app-specific value beyond a thin website or trivial duplication of system behavior.
2.5.1 software requirementsArchive uses public APIs and does not download code that changes reviewed functionality outside documented exceptions.

Verify these against the current guidelines and the exact archive; do not carry version or screenshot requirements forward from an older release checklist.

PrivacyInfo.xcprivacy -- Privacy Manifest Requirements

A privacy manifest is required when your app code, an executable, a dynamic library, or a third-party SDK uses Apple's required-reason API categories or declares collected data/tracking behavior.

See: references/privacy-manifest.md for the full structure, reason codes, and checklists.

Summary

  • Required-reason API categories are file timestamps, system boot time, disk space, active keyboards, and UserDefaults; each requires an approved reason code when used.
  • Before final submission, re-check Apple's current required-reason API documentation and do not choose broad, convenient, or invented reason codes.
  • Required-reason API declarations belong in the bundle that contains the code using the API; every app target, executable, dynamic library, framework, or SDK bundle containing manifest-relevant code needs the matching manifest declarations.
  • Each SDK, executable, or dynamic library that collects data, uses required-reason APIs, enables data collection/tracking, or contacts tracking domains needs manifest attention in the bundle containing that code; SDK code cannot rely on the host app's manifest to report the SDK's own usage.
  • Manifest declarations must match App Store privacy nutrition labels, SDK behavior, and the app's presented functionality.

Data Use, Sharing, and Privacy Policy (Guideline 5.1.2)

  • A privacy policy URL must be set in App Store Connect AND accessible within the app
  • The privacy policy must accurately describe what data you collect, how you use it, and who you share it with
  • App Store privacy nutrition labels must match your actual data collection practices
  • Privacy labels, privacy manifests, SDK disclosures, and runtime behavior should tell the same story

In-App Purchase and StoreKit Rules (Guideline 3.1.1)

Digital goods, features, subscriptions, virtual currency, ad removal, and digital tips generally require IAP unless a current guideline exception, storefront rule, or approved entitlement applies. Physical goods and real-world services use their ordinary payment flow. Before purchase, show price, duration, renewal/trial terms, billing frequency, and cancellation terms; verify product classification, restoration, entitlement verification, deferred/interrupted purchases, and Ask to Buy. Load storekit for implementation and re-check current regional/external-link rules before labeling a path compliant.

HIG Compliance Checklist

Load the full HIG checks for navigation, modals, widgets, system features, launch screens, and empty states from review-checklists.md.

App Tracking Transparency (ATT)

When ATT Is Required

If your app tracks users across other companies' apps or websites, you must:

  1. Request permission via ATTrackingManager.requestTrackingAuthorization before any cross-app or cross-website tracking occurs, including tracking-capable SDK behavior
  2. Respect the user's choice -- disable cross-app and cross-website tracking if the user denies permission
  3. Not gate app functionality behind tracking consent ("Accept tracking or you cannot use this app" is rejected)
  4. Provide a clear purpose string in NSUserTrackingUsageDescription explaining what tracking is used for

When ATT Is NOT Required

If you do not track users across apps or websites, do not show the ATT prompt. Apple rejects unnecessary ATT prompts.

ATT Implementation

swift
import AppTrackingTransparency

@MainActor
func requestTrackingPermission() async {
    let status = await ATTrackingManager.requestTrackingAuthorization()
    switch status {
    case .authorized:
        // Enable tracking, initialize ad SDKs with tracking
        break
    case .denied, .restricted:
        // Use non-personalized ads and disable cross-app/cross-website tracking
        break
    case .notDetermined:
        // Should not happen after request, handle gracefully
        break
    @unknown default:
        break
    }
}

Timing: Request ATT permission after the app is active and the user has context for why tracking is being requested. Do not show the prompt immediately on first launch or stack it with another system permission prompt.

EU Digital Markets Act (DMA) Considerations

Alternative distribution, browser-engine, notarization, and external-payment paths are region- and entitlement-specific. Re-check the current storefront rules and treat an unsupported route as a blocker.

Entitlements and Capabilities

Every entitlement needs an active feature, a specific usage description when applicable, and matching archive behavior. Use the table and valid property-list examples in Entitlements and Usage Descriptions.

Submission Workflow

Pre-Submission Steps

  1. Archive in Xcode. Product > Archive (requires a Distribution signing identity). Verify the archive builds clean with zero warnings in Release configuration.
  2. Upload to App Store Connect. Use the Organizer window (Distribute App > App Store Connect) or xcodebuild -exportArchive. Automated uploads via altool or Transporter also work.
  3. TestFlight internal testing. The build is available to internal testers (your team) within minutes of processing. Walk through every screen and flow on at least two device sizes.
  4. TestFlight external testing. External groups require Beta App Review before first external distribution. Use this to validate with real users before full submission.
  5. Submit for App Review. In App Store Connect, select the build, fill in all metadata fields, attach screenshots, and click Submit for Review. Review timing varies; allow buffer for rejections, appeals, and metadata fixes.

Expedited Review Requests

Request expedited review only for Apple-documented critical or time-sensitive cases, using a concise factual justification in App Store Connect's Contact Us form.

Phased Release

Use Phased Release Schedule for the rollout percentages and App Store Connect controls.

Metadata Best Practices

Keep the name, subtitle, keywords, screenshots, and previews accurate to the submitted binary and actual UI. Do not use prices, competitor terms, or misleading claims. Apply field limits and media rules from the Metadata Compliance Checklist, and route research, ranking, conversion, screenshot ordering, and A/B testing to app-store-optimization.

Appeal Process

Respond in App Store Connect's Resolution Center with a concise evidence trail:

  • Map the rejection to the cited guideline and exact submitted behavior.
  • If fixed, identify the precise change and resubmit; if disputed, explain how the submission satisfies each relevant requirement.
  • Attach the evidence needed to reproduce compliance, such as working demo credentials, screenshots, or a focused video walkthrough.
  • If the exchange remains unresolved, request App Review Board escalation through the Resolution Center or App Store Contact form (App Review > Appeal), including the full submission history and supporting evidence.

The Board's decision is final for that submission; modifying the app and resubmitting remains available.

Common Mistakes

  1. Vague usage descriptions. Name the specific feature that uses the data.
  2. Treating code quality as review compliance. Concurrency and transaction correctness do not replace privacy, payment, metadata, and entitlement evidence.

Review Checklist

Quick-check before every submission (full version in references/review-checklists.md):

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the App Store Review AI skill do?

Audits App Store submission readiness and rejection risk across current review guidelines, PrivacyInfo.xcprivacy and required-reason APIs, privacy labels, ATT, StoreKit payments, metadata, entitlements, widgets, and Live Activities. Use when preparing a submission, responding to rejection, reconciling privacy evidence, or separating upload blockers from cleanup.

Why use App Store Review on TypingMind?

Because you install it once and use it with any model. App Store Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install App Store Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/app-store-review. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use App Store Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with App Store Review?

As many as you like. As long as a model supports skills, you can use App Store Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the App Store Review AI skill free?

It is published on GitHub by dpearson2699. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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