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Add mobile-harness skill

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rasul.osmanbayli 2026-08-25 17:21:15 +04:00
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@ -134,6 +134,7 @@ Skills are not MCP servers and not tools. MCP defines how an agent connects to e
- [LangSmith Fetch](./langsmith-fetch/) - Debug LangChain and LangGraph agents by automatically fetching and analyzing execution traces from LangSmith Studio. First AI observability skill for Claude Code. *By [@OthmanAdi](https://github.com/OthmanAdi)*
- [lean-ctx](https://github.com/yvgude/lean-ctx) - MCP server and context runtime for AI coding agents: session caching, AST-aware compression, and 90+ shell patterns to reduce token usage. Supports Claude Code, Cursor, Copilot, and other integrations. Install the Claude Code skill with `lean-ctx init --agent claude-code`; docs at [leanctx.com](https://leanctx.com). *By [@yvgude](https://github.com/yvgude)*
- [MCP Builder](./mcp-builder/) - Guides creation of high-quality MCP (Model Context Protocol) servers for integrating external APIs and services with LLMs using Python or TypeScript.
- [mobile-harness](https://github.com/droidrun/mobile-harness) - Portable Android and iOS device-control harness for agents — tap, swipe, screenshot, and app control on local devices (ADB, Portal, iOS Simulator) and Mobilerun Cloud phones. *By [@droidrun](https://github.com/droidrun)*
- [move-code-quality-skill](https://github.com/1NickPappas/move-code-quality-skill) - Analyzes Move language packages against the official Move Book Code Quality Checklist for Move 2024 Edition compliance and best practices.
- [OpenWeb](https://github.com/openweb-org/openweb) - Agent-native way to access any website. Calls the same APIs the website calls (JSON in, JSON out) with auth (cookies, JWT, CSRF, signing) auto-resolved per request. 90+ sites built in. *By [@openweb-org](https://github.com/openweb-org)*
- [overkill](https://github.com/santiago-vargas-de-kruijf/claude-overkill) - Surfaces advanced, maximalist alternatives to whatever solution is being discussed — advanced data structures, distributed-systems algorithms, niche frameworks, design patterns, and frontier tooling — each ranked on a calibrated complexity scale with learning links and the scenario in which the path pays off. *By [@santiago-vargas-de-kruijf](https://github.com/santiago-vargas-de-kruijf)*