store▌

Run pre-submission checks on your iOS/macOS project to catch common App Store rejection patterns.

Create platform-compliant app store screenshots and preview videos for iOS and Android. \n \n Generates screenshots at exact Apple App Store (iOS) and Google Play (Android) dimensions with device mockups, captions, and lifestyle contexts \n Covers critical gallery ordering strategy: first 3 screenshots drive 80% of impressions and must communicate core value, differentiation, and top features \n Includes preview video structure (15–30s for iOS, 30s–2min for Android) with hook, feature demonstrat

Use this skill when the user wants to:

Create app store screenshots and preview videos via inference.sh CLI.

Design and implement append-only event stores for event-sourced systems. \n \n Covers architecture patterns, technology comparison (EventStoreDB, PostgreSQL, Kafka, DynamoDB), and core requirements including append-only semantics, ordering, versioning, and subscriptions \n Includes production-ready PostgreSQL schema with indexing strategy, snapshots table, and subscription checkpoints for managing consumer state \n Provides Python event store implementation with optimistic concurrency control, s

This skill enables comprehensive Apple App Store Optimization (ASO) analysis and metadata generation. Analyze existing app listings, generate optimized metadata following Apple's guidelines and character limits, provide competitive insights, and recommend screenshot storyboard strategies.

This comprehensive skill provides complete ASO capabilities for successfully launching and optimizing mobile applications on the Apple App Store and Google Play Store.

Comprehensive guide for evaluating iOS, macOS, tvOS, watchOS, and visionOS app code against Apple's App Store Review Guidelines. This skill covers EVERY guideline point to identify potential rejection issues before submission.

Comprehensive App Store review preparation guide covering rejections, privacy manifests, IAP rules, and compliance checklists. \n \n Covers top rejection reasons (incomplete apps, inaccurate metadata, private API usage) with prevention strategies and real examples of approved vs. rejected content \n Detailed privacy manifest requirements with reason codes, ATT implementation patterns, and cross-reference checks between nutrition labels and actual data collection \n In-App Purchase and StoreKit r

Complete App Store Optimization toolkit for researching, optimizing, and tracking mobile app performance across Apple App Store and Google Play Store. \n \n Covers keyword research, competitor analysis, metadata optimization (titles, descriptions, keywords), and visual asset strategies with platform-specific character limit validation \n Includes review sentiment analysis, rating improvement tactics, and A/B testing frameworks for continuous conversion optimization \n Provides ASO health scoring