Ray Train Distributed Training
Orchestra-Research/AI-Research-SKILLs
Scales PyTorch, TensorFlow and Hugging Face training from a single GPU to multi-node clusters with Ray Train, including Ray Tune sweeps and checkpoint recovery.
Validate SLURM cluster nodes by running actual training jobs in groups.
$ npx skills add AMD-AGI/Primus --skill slurm-training-node-validation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AMD-AGI/Primus slurm-training-node-validation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/AMD-AGI/Primus.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/slurm-training-node-validation .claude/skills/slurm-training-node-validation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "slurm-training-node-validation" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/slurm-training-node-validation into .claude/skills/slurm-training-node-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slurm-training-node-validation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/AMD-AGI/Primus/tree/main/skills/slurm-training-node-validationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add AMD-AGI/Primus --skill slurm-training-node-validation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AMD-AGI/Primus slurm-training-node-validation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AMD-AGI/Primus.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/slurm-training-node-validation .agents/skills/slurm-training-node-validation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "slurm-training-node-validation" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/slurm-training-node-validation into .agents/skills/slurm-training-node-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slurm-training-node-validation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AMD-AGI/Primus --skill slurm-training-node-validation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AMD-AGI/Primus slurm-training-node-validation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AMD-AGI/Primus.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/slurm-training-node-validation .cursor/skills/slurm-training-node-validation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "slurm-training-node-validation" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/slurm-training-node-validation into .cursor/skills/slurm-training-node-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slurm-training-node-validation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/AMD-AGI/Primus.git --path skills/slurm-training-node-validation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add AMD-AGI/Primus --skill slurm-training-node-validation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AMD-AGI/Primus slurm-training-node-validation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AMD-AGI/Primus.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/slurm-training-node-validation .gemini/skills/slurm-training-node-validation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "slurm-training-node-validation" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/slurm-training-node-validation into .gemini/skills/slurm-training-node-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slurm-training-node-validation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install AMD-AGI/Primus slurm-training-node-validationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add AMD-AGI/Primus --skill slurm-training-node-validation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AMD-AGI/Primus.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/slurm-training-node-validation .github/skills/slurm-training-node-validation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "slurm-training-node-validation" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/slurm-training-node-validation into .github/skills/slurm-training-node-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slurm-training-node-validation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AMD-AGI/Primus --skill slurm-training-node-validation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AMD-AGI/Primus slurm-training-node-validation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AMD-AGI/Primus.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/slurm-training-node-validation .opencode/skills/slurm-training-node-validation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "slurm-training-node-validation" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/slurm-training-node-validation into .opencode/skills/slurm-training-node-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slurm-training-node-validation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
slurm-training-node-validationValidate SLURM cluster nodes by running actual training jobs in groups.
Slurm Training Node Validation is an agent skill from AMD-AGI/Primus. Validate SLURM cluster nodes by running actual training jobs in groups. Use when the user wants to test which idle nodes can successfully run training, verify node health through real workloads, or identify broken nodes in a SLURM cluster.
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: A flexible and high-performance training framework designed for large-scale foundation model training on AMD GPUs.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 0f99649. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
bashFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
HF_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Slurm Training Node Validation loads about 3.7k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 1,108 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,108 words (~3,652 tokens).
“Launch short training jobs on groups of idle nodes to determine which nodes are healthy enough to run real workloads.”
Just SKILL.md in skills/slurm-training-node-validation of AMD-AGI/Primus.
Open the folder on GitHubat commit 0f99649
Slurm Training Node Validation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Slurm Training Node Validation this skillAMD-AGI/Primus | 131 | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Nemo Mbridge Multi Node SlurmNVIDIA/skills | 3.5k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Node Connectopenclaw/openclaw | 392k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Node Inspect Debuggeropenclaw/openclaw | 392k | 1 repos | ~894 | Automated safety check: Pass | MIT | |
| Vector Clusterruvnet/ruflo | 74k | — | ~540 | Automated safety check: Notes | MIT |
Orchestra-Research/AI-Research-SKILLs
Scales PyTorch, TensorFlow and Hugging Face training from a single GPU to multi-node clusters with Ray Train, including Ray Tune sweeps and checkpoint recovery.
NVIDIA/skills
Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures.
openclaw/openclaw
Diagnose OpenClaw Control UI browser and native Android, iOS, or macOS node connection failures across route, auth, pairing, QR/setup-code, and reconnect states.
openclaw/openclaw
Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.
ruvnet/ruflo
Cluster code by graph community detection via npx ruvector@0.2.25 hooks graph-cluster (spectral / Louvain)
google/skills
Trigger on mention of GKE cluster autoscaler, node autoscaling, node pool auto-creation / node auto-provisioning.
AMD-AGI/Primus
Inspect the current Spur (AMD SLURM-compatible) cluster node-allocation state and produce a Markdown report (optionally rendered to a standalone HTML page) covering the caller's account/QoS…
AMD-AGI/Primus
Compare a Primus backend against an upstream repository or reference, verify git state, dependencies, directory changes, and integration coupling, then generate comparison reports, dashboard…
AMD-AGI/Primus
Inventory and explain the patch (monkey-patch) optimizations Primus layers over upstream training backends such as Megatron-LM, TorchTitan, and MaxText, including their version compatibility…
AMD-AGI/Primus
Run, monitor, stop and report Primus convergence tests -- training a model on a real corpus and checking that the loss curve is healthy -- from a plain-language request such as "run convergence test…
AMD-AGI/Primus
Update the Primus documentation for a monthly training-image release — bump version references, realign the bare-metal install scripts with the release Dockerfiles, record the published image stacks…
AMD-AGI/Primus
Generate a validation plan and test scaffolding to check a Primus optimization that has been ported into a user's own training framework, across correctness (numerical accuracy vs a reference)…
Validate SLURM cluster nodes by running actual training jobs in groups. Slurm Training Node Validation is an agent skill from AMD-AGI/Primus. Validate SLURM cluster nodes by running actual training jobs in groups.
Slurm Training Node Validation fits situations like: the user wants to test which idle nodes can successfully run training; verify node health through real workloads; identify broken nodes in a SLURM cluster.
Run `npx skills add AMD-AGI/Primus --skill slurm-training-node-validation -a claude-code`. Or copy the skill folder (skills/slurm-training-node-validation in AMD-AGI/Primus) into .claude/skills/slurm-training-node-validation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AMD-AGI/Primus --skill slurm-training-node-validation -a codex`. Or copy the skill folder (skills/slurm-training-node-validation in AMD-AGI/Primus) into .agents/skills/slurm-training-node-validation in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AMD-AGI/Primus --skill slurm-training-node-validation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/slurm-training-node-validation, .gemini/skills/slurm-training-node-validation, .github/skills/slurm-training-node-validation and .opencode/skills/slurm-training-node-validation in your project.
Going by SKILL.md and its folder, Slurm Training Node Validation needs the command-line tools its instructions call (bash) and credentials named HF_TOKEN. Our summary lists: Docker.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Slurm Training Node Validation has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Slurm Training Node Validation: Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), Nemo Mbridge Multi Node Slurm (NVIDIA/skills, 3.5k stars), Node Connect (openclaw/openclaw, 392k stars) and Node Inspect Debugger (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AMD-AGI (a GitHub organization) maintains it in AMD-AGI/Primus, which has 131 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 8, 2026.
Source: AMD-AGI/Primus on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.