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Found 7 Skills
Control Cursor AI code editor via CLI. Open files, folders, diffs, and manage extensions.
Expose local dev server to mobile Chrome via cloudflared tunnel. Use when: (1) user wants to preview results on mobile, (2) requests like "preview on mobile", "check on my phone", "test on mobile", (3) remote development (remote-control/SSH) where external access is needed, (4) sharing localhost with external devices. Korean triggers: "모바일에서 확인", "모바일 프리뷰", "폰으로 확인", "폰으로 테스트", "핸드폰에서 보고 싶다", "모바일에서 보고 싶어", "모바일로 테스트", "폰에서 열어봐".
Visual Studio Code editor with extensions and debugging. Use for code editing.
Develop a Base44 app remotely inside Base44's cloud sandbox using your own agent — no local checkout and no deploy/push commands. The implementation is remote: writing a resource file into the sandbox is what ships it (backend functions, entities, and agents all auto-sync from the file you write), and OAuth connectors are set up against the remote app via MCP tools or the projectless `base44 connectors` CLI. This skill is the place for learning what you can author in the sandbox, how backend functions, entities, and agents are structured, and how to connect a connector without a local filesystem. Triggers on 'develop my Base44 app remotely', 'no local files', 'cloud sandbox', 'create an entity/agent remotely', 'connect a connector remotely', 'bring my own agent', or any work editing a Base44 app inside a sandbox.
Manage Lightning AI Studios (cloud dev machines with CPUs/GPUs) - create, start, stop, delete studios, switch machine types, run commands in them, upload/download files, and SSH in. Use when the user wants to work with lightning.ai Studios, needs a cloud GPU dev box, or asks to run something "on a studio".
Do work in an Upstash Box, a sandboxed cloud container driven through the remote Upstash MCP server (mcp.upstash.com), instead of on the local machine. Use when the user asks to run, build, test, clone, or edit something remotely, in a sandbox, in the cloud, or in a box, when the deliverable is a pull request, a public preview URL, or a screenshot of a running app, when the local machine cannot deliver (no GitHub login for gh, no way to expose a port, a dirty or slow local checkout), or when several independent tasks should run in parallel on separate machines, a code factory that turns a list of tasks into a list of pull requests. Applies whenever the session has the box_* and blob_* MCP tools, even when Upstash is not named.
SSH into host `h100_sglang`, enter Docker container `sglang_bbuf`, work in `/data/bbuf/repos/sglang`, and use the ready H100 remote environment for SGLang **diffusion** development and validation. Use when a task needs diffusion model smoke tests, Triton/CUDA kernel validation, torch.compile diffusion checks, or a safe remote copy for diffusion-specific SGLang changes.