OtterMind/Chat2DB
A cross-platform database client and SQL workspace for more than forty databases that includes MCP support and uses a user-supplied model to generate, explain and optimise queries.
Awesome MCP › Domain-Specific Integrations
conorluddy/ios-simulator-skill
The iOS Simulator Skill for Claude Code is a comprehensive automation toolkit designed for iOS app testing and building, optimized for both human developers and AI agents. It provides 21 production-ready scripts that facilitate building, testing, and automating iOS applications using semantic navigation through accessibility APIs rather than fragile pixel-based methods. This approach ensures robustness across different screen sizes and UI redesigns by interacting with UI elements based on their meaning, such as text, type, or ID. Key features include semantic navigation, token optimization with a 96% reduction in output verbosity compared to raw tools, zero configuration for immediate use on macOS with Xcode, and structured JSON or formatted text output for easy parsing and integration. The skill supports auto-detection of device UDIDs, batch operations for managing multiple simulators, comprehensive testing capabilities including WCAG compliance, visual diffs, accessibility audits, and is CI/CD ready with automated device lifecycle management. The skill is organized into categories such as Build & Development, Navigation & Interaction, Testing & Analysis, Advanced Testing & Permissions, and Device Lifecycle, each containing specialized scripts for tasks like building projects, real-time log monitoring, screen analysis, gesture control, app lifecycle management, accessibility auditing, visual testing, clipboard management, permission handling, and simulator management. Installation is straightforward via cloning the repository into Claude Code's skills directory or downloading releases. It requires macOS 12+, Xcode Command Line Tools, Python 3, and optionally IDB for interactive features. The skill integrates seamlessly with Claude Code, which automatically detects when to use it based on user requests, enabling natural language-driven automation workflows. Design principles emphasize semantic navigation, token efficiency, accessibility-first approach, zero configuration, structured data output, and auto-learning of device preferences. Extensive documentation and examples support users in leveraging the skill for efficient iOS app automation and testing.
https://github.com/conorluddy/ios-simulator-skill
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