ClaudeSuperPower
SubmitLog in

together-volcano

Skill

Install and use the Volcano batch scheduler on a Together AI Kubernetes GPU cluster for gang scheduling. Covers installing Volcano, creating queues, submitting all-or-nothing gang-scheduled jobs (vcjobs), and verifying placement. Reach for it when a job on a Together cluster needs its pods scheduled

0Machine Learning

Install

git clone https://github.com/togethercomputer/skills.git ~/.claude/skills/together-volcano

What is together-volcano?

Install and use the Volcano batch scheduler on a Together AI Kubernetes GPU cluster for gang scheduling. Covers installing Volcano, creating queues, submitting all-or-nothing gang-scheduled jobs (vcjobs), and verifying placement. Reach for it when a job on a Together cluster needs its pods scheduled all-at-once or not at all, such as distributed multi-node training, rather than per-pod best-effort scheduling. Pins Volcano v1.15.0.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~109 tokens of context used while enabled, before you invoke anything

Documentation

README · ~3 min read

Volcano on Together GPU clusters

Volcano is a Kubernetes-native batch scheduler. Its key property is gang scheduling: a group of pods is placed all-at-once or not at all, so distributed training never starts with only some workers running. Use it when a job needs N pods to run together or not at all.

Public cookbook: https://docs.together.ai/docs/volcano-on-gpu-clusters. Pair this skill with the together-gpu-clusters skill, which covers creating the cluster and configuring kubectl.

Preconditions

  • A Together Kubernetes GPU cluster in the Ready state, with kubectl pointed at it (tg beta clusters get-credentials <cluster_id> --set-default-context).
  • GPU nodes expose nvidia.com/gpu; the NVIDIA device plugin is preinstalled on Together clusters. Confirm with:
kubectl get nodes -o custom-columns='NODE:.metadata.name,GPU:.status.allocatable.nvidia\.com/gpu'

Install

Reviews

Log in to leave a review.

No reviews yet — be the first.

Explore related

Other things in this space — across every part of the ecosystem, not just skills.

Plugins

All plugins →

mcp-tunnels

Connect Claude to a private MCP server through an Anthropic MCP tunnel. The /create-docker-mcp-tunnel command drives the Docker Compose quickstart end to end: certificates, proxy config, cloudflared, and a verifiable sample server.

32.9K stars

mcp-server-dev

Skills for designing and building MCP servers that work seamlessly with Claude. Guides you through deployment models (remote HTTP, MCPB, local), tool design patterns, auth, and interactive MCP apps.

32.9K stars

expo

Official Expo skills for building, deploying, upgrading, and debugging React Native apps with Expo. Covers UI development with Expo Router, SwiftUI and Jetpack Compose components, Tailwind CSS setup, API routes, data fetching, CI/CD workflows, App Store and Play Store deployment, SDK upgrades, DOM c

2.3K stars