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Found 10 Skills
Safe Python Netmiko patterns for read-only collection, bounded batch SSH, TextFSM parsing, guarded config changes, timeouts, and network automation error handling.
Use for Desktop Commander MCP capabilities — persistent shells and REPLs, long-running processes, filesystem beyond the workspace, structured files (.xlsx, .docx, .pdf, images) and large local data files such as CSVs, ripgrep search at scale, SSH, or cross-turn state.
Quick health checks for a Dockerized VPS. Use to verify services are running, check container status, view logs, or get a system overview (disk, memory, CPU). Read-only by design — anything that would change state is routed through the clipboard for the user to paste.
Use when listing dedicated servers. Use when checking server status, IP, or provider info. Use when user says "show my servers", "SSH into server", or "check server status". Do NOT use for browsing purchasable servers (use zeabur-server-catalog instead).
Discover and run Holoscan Sensor Bridge example applications on a connected devkit. Filters available apps by the user's platform, HSB software version, board type, and sensors. Supports timed execution, failure analysis, code-edit suggestions, and iterative re-runs.
Self-contained deploy automation — invoke directly, do not decompose. Deploys a Vibes app to exe.dev VM hosting. Uses nginx on persistent VMs with SSH automation. Supports client-side multi-tenancy via subdomain-based Fireproof database isolation.
Execute commands on remote servers via SSH. Run commands on remote hosts with key-based authentication.
Run a generic Vast.ai API lifecycle from offer search to teardown with safety checks and reproducible request steps. Use when users need to list/filter offers, create instances, attach SSH keys, poll readiness, stop/destroy instances, or inspect billing/usage, and when required runtime fields (image, instance type, API key source) should be collected in dialog with default suggestions.
Orchestrate Google Colab Pro/Pro+ GPU instances as remote training backends via SSH. Compounds /agent-browser (to launch Colab sessions and install colab-ssh) with SSH (to operate the runtime remotely). Use when: (1) launching a Colab notebook for GPU training, (2) running training jobs on Colab from the local terminal, (3) transferring datasets/checkpoints to/from Colab, (4) monitoring GPU utilization on a Colab instance, (5) integrating Colab GPU compute with /autoany EGRI optimization loops, (6) reconnecting to a Colab session after timeout. Triggers on: "colab", "colab-remote", "colab ssh", "colab training", "remote GPU", "colab pro", "train on colab", "google colab".
Orchestrate headless Claude Code (`claude -p`) and Codex (`codex exec`) workers on a remote Linux SSH host (default `jetson`, override with REMOTO_HOST) from the local session: probe hosts, spawn jobs, wait, collect results, cross-review across providers, report fleet status. Use when work should run on a remote box (its GPU, files, environment) while this session coordinates: 'run this on the jetson', 'spawn remote agents', 'remote swarm', 'status of the remote jobs', 'córrelo en el jetson', 'lanza agentes remotos', 'cómo van los jobs remotos'. Also for checking or collecting jobs spawned earlier. NOT for local-only work or local subagents, and NOT usable without an SSH host that has key auth and a logged-in claude or codex.