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Found 101 Skills
Tmux execution support for long-running and persistent commands. Load this skill when you need to: (1) run commands expected to exceed tool timeout (over 60s), (2) start persistent servers or dev processes, (3) run TUI/interactive applications, (4) execute parallel isolated tasks in separate sessions, (5) run remote commands over SSH that must survive disconnection, (6) handle tmux errors like 'capture-pane blocked in interactive_bash'. Trigger phrases: 'run in background', 'start server', 'long-running', 'tmux session', 'keep running', 'persistent process', 'dev server', 'training script', 'git clone large repo', 'docker build', 'capture-pane blocked'.
Use this skill for Sealtun-specific local-to-public tunnel work or Sealtun repo maintenance/release. Trigger for sealtun, sealtun.yaml, Sealos tunnel, ngrok/cloudflared-style tunnel, expose localhost/local port/local dev server, public HTTPS URL/domain for local app, public SSH/TCP tunnel, NodePort SSH, ProxyCommand fallback, webhook/payment/OAuth/bot callback to local service, preview/demo link, custom domain/CNAME, Basic Auth, Bearer token, IP allowlist/denylist, temporary access links, ttl auto-expire, apply/diff multi-tunnel config, stop/start/resume, cleanup, daemon/session/logs/metrics/dashboard/doctor, npm binary packages, GitHub Release, GoReleaser, GHCR. Chinese triggers: 内网穿透, 本地服务公网访问, 本地端口暴露, localhost 暴露到公网, 公网预览链接, 公网域名, 公网 SSH, SSH 隧道, TCP 隧道, 第三方回调到本地, 隧道认证, 访问控制, 声明式配置, 发版. Do not use for generic Kubernetes/Ingress/DNS/SSH unless Sealtun is involved.
Run, monitor, analyze, and debug LLM evaluations via nemo-evaluator-launcher. Covers running evaluations, checking status and live progress, debugging failed runs, exporting artifacts and logs, and analyzing results. ALWAYS triggers on mentions of running evaluations, checking progress, debugging failed evals, analyzing or analysing runs or results, run directories or artifact paths on clusters, Slurm job issues, invocation IDs, or inspecting logs (client logs, server logs, SSH to cluster, tail logs, grep logs). Do NOT use for creating or modifying evaluation configs.
Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.
Expert in Kanidm modern identity management system specializing in user/group management, OAuth2/OIDC, LDAP, RADIUS, SSH key management, WebAuthn, and MFA. Deep expertise in secure authentication flows, credential policies, access control, and platform integrations. Use when implementing identity management, SSO, authentication systems, or securing access to infrastructure.
Create, manage, or connect to a headless Windows 11 VM running in Docker with SSH access. Use when the user wants to spin up, stop, restart, or SSH into a Windows VM.
Run GPU workloads on Modal — training, fine-tuning, inference, batch processing. Zero-config serverless: no SSH, no Docker, auto scale-to-zero. Use when user says "modal run", "modal training", "modal inference", "deploy to modal", "need a GPU", "run on modal", "serverless GPU", or needs remote GPU compute.
Tunneling and pivoting playbook. Use when establishing network tunnels through compromised hosts including SSH tunneling, Chisel, Ligolo-ng, socat, DNS/ICMP/HTTP tunneling, ProxyChains, and multi-layer pivoting strategies.
Debug, develop, and operate apps hosted on Railway (railway.com) from the CLI — list projects/services, tail and filter build/deploy/HTTP logs, read metrics, inspect and set variables, deploy from the current directory, redeploy / restart / roll back, run local commands with the service's env, SSH into containers, and open a DB shell. Authenticates via the `RAILWAY_TOKEN` environment variable (account token, or project-scoped token). Optional bundled scripts (`scripts/preflight.sh`, `scripts/debug.sh`, `scripts/smoke.sh`) are Onsager-specific wrappers — other repos can ignore them or fork. Triggers include "deploy to railway", "railway deploy this", "railway logs", "tail railway logs", "why is my railway service crashing", "why did the build fail on railway", "railway 500s", "railway latency", "show railway http logs", "redeploy on railway", "restart my railway service", "roll back railway", "set a railway env var", "list railway variables", "railway metrics", "is my railway service healthy", "connect to my railway postgres", "ssh into railway", "run this locally with railway env", "list railway projects/services/deployments", and (Onsager-specific) "check railway", "preflight", "smoke test", "is the deploy healthy".
Operate InstaVM infrastructure: run ephemeral sessions, create or manage VMs, host or deploy apps, take snapshots, clone machines, register SSH keys, expose shares, set egress, mount volumes, and use platform APIs. Use this whenever the user mentions InstaVM, instavm.io, the `instavm` Python SDK, `ssh instavm.dev`, app hosting, or VM lifecycle work, even if they do not explicitly say "InstaVM".
Deploys remote development environments with SSH access on TrueFoundry. Use when setting up VS Code Remote workspaces, cloud development machines, GPU dev boxes, or remote coding environments with SSH access.
Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM). This is the primary interface for accessing HyperPod nodes — direct SSH is not available. Use when any skill, workflow, or user request needs to execute commands on cluster nodes, upload files to nodes, read/download files from nodes, run diagnostics, install packages, or perform any operation requiring shell access to HyperPod instances. Other HyperPod skills depend on this skill for all node-level operations.