RocketSimApp

Maintains a canonical feature registry using Swift Playground as a single source of truth, with structured Feature structs defining metadata (name, status, description, category). The system automatically generates JSON output from the Playground that feeds both the documentation website and potentially the RocketSim application itself, eliminating manual synchronization between feature lists and product state.

Consumes the generated rocketsim_features.json and renders it through an Astro-based static site generator with React components, creating marketing pages, feature documentation, and blog content. The system uses Starlight theme overrides and custom component layers to display features dynamically while maintaining SEO optimization through structured JSON-LD metadata and per-page OpenGraph tags.

Manages iOS Simulator state including app installation, launch arguments, environment variables, and persistent data across simulator sessions. The system allows configuration of simulator state through CLI commands or configuration files, enabling reproducible testing environments and automated app initialization without manual simulator setup.

Collects performance metrics from apps running in the iOS Simulator including CPU usage, memory consumption, frame rate, and battery drain estimation. The system provides both real-time monitoring (via GUI) and batch collection (via CLI) with structured output suitable for performance regression testing and optimization analysis.

Exposes RocketSim's 30+ simulator tools through a command-line interface that can be invoked by AI agents and automation scripts. The CLI provides structured input/output for operations like network monitoring, accessibility testing, screenshot capture, and app action simulation, enabling agents to programmatically control the iOS Simulator and extract testing data without GUI interaction.

Intercepts and analyzes HTTP/HTTPS network traffic from apps running in the iOS Simulator, providing detailed request/response inspection, filtering, and export capabilities. The implementation hooks into the simulator's network stack to capture traffic without requiring app-level proxy configuration, and exposes data through both GUI and CLI interfaces for debugging and testing purposes.

Analyzes iOS app UI for accessibility compliance issues including VoiceOver support, dynamic type scaling, color contrast, and touch target sizing. The system scans the view hierarchy and generates a report of accessibility violations with severity levels and remediation guidance, accessible through both interactive GUI inspection and CLI-based reporting for automated testing.

Captures screenshots and video recordings from the iOS Simulator with support for device frame overlays, annotation tools, and multi-format export. The system provides both interactive capture (with real-time preview and editing) and CLI-based capture for automated workflows, storing media in standard formats (PNG, MP4) with metadata for documentation and testing purposes.

Enables programmatic simulation of app actions including deep link invocation, URL scheme handling, and app state transitions through CLI commands. The system translates high-level action descriptions into simulator-level operations, allowing agents and automation scripts to navigate app flows without GUI interaction or manual state setup.

Renders the feature registry (rocketsim_features.json) as interactive roadmap and feature list pages on the documentation website, with filtering by status (Implemented, In Progress, Planned) and category. The visualization system uses React components to create dynamic feature displays that automatically update when the feature registry is regenerated, maintaining consistency between product state and public-facing roadmap.

Automatically generates SEO metadata (OpenGraph tags, JSON-LD structured data, meta descriptions) for documentation and feature pages based on content and feature data. The system uses Astro's metadata management to create per-page SEO configuration that improves search engine visibility and social media sharing, with support for dynamic metadata based on feature status and content type.

Organizes documentation, blog posts, and marketing content using Astro's content collections system with support for multiple page types (marketing pages, documentation pages, blog posts, legal pages). The system uses a unified layout and component infrastructure to render different content types consistently, with automatic routing and navigation menu generation based on content structure.