Evidence-based marketing for AppHouse iOS apps — turn real user pain into angles, hooks, and short-form content (TikTok/Reels/Shorts videos and slideshows). Covers marketing fundamentals (pain → desire → angle → hook), engagement design (comments/shares/saves), TikTok-native captions and safe zones, trending sound selection, per-platform publish kits (title/description/hashtags), and a spec-driven production workflow (AI generation + FFmpeg assembly). Use when the user mentions marketing, ads, hooks, content ideas, video scripts, UGC, slideshows, TikTok/Reels/Shorts, captions, trending sounds, "make a marketing video", "content for my app", or "why isn't my app getting downloads".
Audit an existing iOS app against the AppHouse quality standard and produce a prioritized findings report (P0 release blockers → P3 polish). Checks the project manifest, settings screen contract, loading/empty/error/offline states, monetization correctness, Firebase security, analytics events, website/legal pages, and App Store readiness. Use when the user says "apphouse check", "audit this app", "is this app ready to ship", "release check", "what's missing in this app", or before any App Store submission.
Bootstrap a new AppHouse iOS app (or retrofit an existing one) so nothing is forgotten — app identity, Firebase setup, RevenueCat subscriptions, backend security, subdomain website with legal pages, analytics, and App Store Connect. Creates and fills apphouse.project.yml, the per-app manifest every other AppHouse skill reads. Use when the user says "new app", "start a new app", "bootstrap", "set up this app the AppHouse way", "create apphouse.project.yml", or begins a fresh iOS/SwiftUI project.
App Store idea discovery and market intelligence for iOS apps, using free public APIs (iTunes Search/Lookup/RSS charts + the no-auth Sensor Tower app endpoint for revenue & download estimates). Use this skill when the user wants to: (1) Find new app ideas or "sweet spots" — recently released apps already earning a target revenue band (e.g. 2026 apps making $10-30k/mo) that look winnable and easy to ship, (2) Map a niche's competitors with revenue/downloads/ratings, (3) Find localization arbitrage — apps big in one country/language but absent or unlocalized in another, including iOS-vs-Android port gaps, (4) Tear down a developer/publisher's portfolio or detect "rising publishers" shipping multiple monetizing apps, (5) Pull top free/paid/grossing charts per storefront and genre, (6) Grab competitor screenshots, App Store links, pricing/paywall, and descriptions into organized folders with a ranked CSV + opportunity brief. Trigger on: "find app ideas", "explore the app store", "trending apps making money", "swe
A native-first SwiftUI design language for building consistent, premium iOS app UI — a dark-first, image-forward, softly-rounded aesthetic (inspired by apps like Luma) expressed almost entirely through native SwiftUI components. Use this skill for any UI/UX work in a SwiftUI/iOS project: (1) Building new screens, views, or components, (2) Redesigning or restyling existing screens, (3) Refactoring ad-hoc styling into reusable design tokens, (4) Reviewing UI for visual consistency, (5) Implementing dark interfaces with materials/Liquid Glass, navigation stacks, tab views, lists, toolbars, buttons, search, sheets, empty states, hero headers, chips, and avatar groups. The guiding rule is NATIVE FIRST: reach for built-in SwiftUI components and modifiers before writing any custom view, and only build a custom component when the platform genuinely can't express the design. Trigger when the user mentions UI, design, styling, layout, theming, redesign, restyle, refactor the UI, design consistency, or "make it look goo
App Store screenshot research, competitor analysis, building, and upload tool for iOS/macOS apps. Use this skill when working with App Store screenshots for any of these tasks: (1) Finding and analyzing competitor screenshots in your category, (2) Downloading competitor screenshots locally for reference, (3) Analyzing screenshot strategies (styles, captions, features), (4) Researching ASO keywords for screenshot captions, (5) Planning your screenshot sequence and messaging, (6) Building screenshots using an HTML/CSS export tool, (7) Generating a local preview website to view and compare screenshots, (8) Exporting screenshots at correct dimensions via browser or Puppeteer, (9) Localizing screenshots for multiple App Store locales, (10) Uploading screenshots to App Store Connect via API.
Price localization intelligence for iOS/macOS apps using purchasing power parity analysis. Use this skill when working with App Store pricing for any of these tasks: (1) Building a "Price Index" by analyzing reference app prices across territories, (2) Comparing your app's pricing against PPP-adjusted benchmarks, (3) Generating localized price recommendations based on economic data, (4) Automating price updates via App Store Connect API, (5) Analyzing competitor pricing strategies across markets, (6) Identifying overpriced/underpriced territories hurting conversions or revenue, (7) Creating pricing health reports with actionable recommendations.
App Store review analysis, competitor intelligence, and automated response generation for iOS/macOS apps. Use this skill when working with Apple App Store reviews for any of these tasks: (1) Fetching and analyzing customer reviews for your own apps via the App Store Connect API, (2) Fetching competitor app reviews via the public RSS feed or iTunes Search API, (3) Performing sentiment analysis, theme extraction, or bug/feature-request categorization on reviews, (4) Generating context-aware developer replies to customer reviews, (5) Comparing ratings, review sentiment, or feature gaps across competing apps, (6) Tracking rating trends and review volume over time, (7) Producing executive summaries or actionable insight reports from review data, (8) Searching the App Store for apps by name or category, (9) Setting up app-specific reply configurations through an interactive onboarding interview that auto-detects patterns from existing responses.