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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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What's inside
- Skill name
dfw-cluster- Description
- None
- License
- Apache-2.0
- Instructions
- 58 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- invalid YAML frontmatter: Nested mappings are not allowed in compact mappings at line 2, column 14:
- name: missing
- description: missing
Files (1)
- SKILL.md
SKILL.md (first lines)
# DFW Cluster Use this skill when running commands, submitting jobs, or monitoring jobs on dfw. ## Access Use the current dfw login node unless the user gives a different one: ```bash cw-dfw-cs-001-login-02.nvidia.com ``` Prefer a persistent SSH control connection for repeated commands: ```bash ssh -o ControlMaster=auto -o ControlPath=/tmp/ssh-dfw2-%r@%h:%p -o ControlPersist=4h cw-dfw-cs-001-login-02.nvidia.com ``` Do not run training, conversion, or GPU-heavy work on login nodes. Use Slurm or an allocated interactive node. ## Partitions - `batch_short`: 2 hour GPU partition. Prefer this for evals, smoke tests, and short sanity jobs because it is usually more available. - `interactive`: GPU interactive partition. Interactive allocations usually start quickly, so this is a good alternative for smoke tests and debugging when `batch_short` is backed up. - `batch`: 4 hour default GPU partition. Use this for normal single-node training/debug jobs that fit under 4 hours. - `batch_large`: 4 hour GPU partition for larger-node jobs. Use only when the job genuinely needs larger allocation behavior. - `batch_long`: 8 hour GPU partition. Use when 4 hours is not enough and the job does not need the large-job partition. - `batch_large_long`: long-running large GPU partition. Use sparingly; confirm with the user before submitting. - `cpu`, `cpu_short`, `cpu_long`, `cpu_interactive`, `cpu_datamover`, `cpu_dataprocessing`: CPU-only partitions for preprocessing, file movement, and lightweight scripts. - `admin`, `defq`: do not use for user jobs. Check current availability before making assumptions: ```bash sinfo -o "%P %.12l %.8a %.10T %D" ``` ## Accounts and Fairshare Check the user's usable Slurm accounts before choosing an account: ```bash sacctmgr -n -P show assoc where user=$USER format=Account,Partition,QOS,DefaultQOS | sort -u ``` Common accounts for this workspace include `coreai_dlalgo_llm`, `coreai_dlalgo_genai`, `coreai_dlalgo_nemofw`, `coreai_dlalgo_modelopt`, and `nvr_lpr_llm`. Use the full account name in submissions, for example `sbatch -A nvr_lpr_llm ...`, unless the repo's submit wrapper exposes a different account variable. Before submitting any Slurm job, measure fairshare for the usable accounts and choose the account with the best current fairshare unless the user explicitly requests a specific account: ```bash sshare -U -l sprio -u $USER -l ``` In `sshare`, compare accounts using `FairShare` and `LevelFS`. Higher `FairShare` is generally better; `LevelFS > 1` means the account is relatively under-used, while `LevelFS < 1` means it is relatively over-used. Fairshare changes over time, so check it immediately before submission and do not hard-code current values in commands or skills.
From sajadn/diffusion_RL, Apache-2.0.
More from sajadn/diffusion_RL
- 0.517score
benchmark-eval
sajadn
Run, monitor, or troubleshoot IFBench, LiveCodeBench, SciCode, and AA-LCR checkpoint evaluations on DFW using submit_benchmark_eval.sh.
SkillBFreshness: BClaude Code +9 - 0.504score
nemotron-experiment-submit
sajadn
Submit and monitor NeMo-RL NemotronLabsDiffusion GRPO-family experiments on dfw, including AR GRPO, JustGRPO, DiffuGRPO, and NeMo-Gym/NeMo-Skills tool…
SkillBFreshness: BClaude Code +9 - 0.471score
nemotron-environment-setup
sajadn
Set up or audit the dfw NeMo-RL/Nemotron diffusion training environment, including the Nemo-RL fork/worktree, Git submodules for Megatron-Bridge and…
SkillCFreshness: CClaude Code +9 - 0.468score
gsm8k-checkpoint-eval
sajadn
Evaluate native Nemotron Diffusion NeMo-RL Megatron checkpoints on math benchmarks such as GSM8K and AIME by converting them to Hugging Face format, then…
SkillCFreshness: CClaude Code +9 - 0.406score
copyright
sajadn
NVIDIA copyright header requirements for NeMo-RL.
SkillDFreshness: DClaude Code +9 - 0.406score
error-handling
sajadn
Error handling guidelines for NeMo-RL.
SkillDFreshness: DClaude Code +9 - 0.406score
code-style
sajadn
Code style guidelines for NeMo-RL (Python and shell).
SkillDFreshness: DClaude Code +9 - 0.406score
config-conventions
sajadn
Configuration conventions for NeMo-RL.
SkillDFreshness: DClaude Code +9 - 0.406score
contributing
sajadn
Contribution conventions for NeMo-RL.
SkillDFreshness: DClaude Code +9 - 0.402score
docs
sajadn
Documentation conventions for NeMo-RL.
SkillDFreshness: DClaude Code +9 - 0.226score
testing
sajadn
Testing conventions for NeMo-RL.
SkillDFreshness: DClaude Code +9 - 0.211score
review-pr
sajadn
No description from the publisher yet.
SkillDFreshness: DClaude Code +9
Signals
- Stars
- 0
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Jun 23, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/sajadn/diffusion_RL
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from sajadn
- 0.517score
benchmark-eval
sajadn
Run, monitor, or troubleshoot IFBench, LiveCodeBench, SciCode, and AA-LCR checkpoint evaluations on DFW using submit_benchmark_eval.sh.
SkillBFreshness: BClaude Code +9 - 0.504score
nemotron-experiment-submit
sajadn
Submit and monitor NeMo-RL NemotronLabsDiffusion GRPO-family experiments on dfw, including AR GRPO, JustGRPO, DiffuGRPO, and NeMo-Gym/NeMo-Skills tool…
SkillBFreshness: BClaude Code +9 - 0.471score
nemotron-environment-setup
sajadn
Set up or audit the dfw NeMo-RL/Nemotron diffusion training environment, including the Nemo-RL fork/worktree, Git submodules for Megatron-Bridge and…
SkillCFreshness: CClaude Code +9 - 0.468score
gsm8k-checkpoint-eval
sajadn
Evaluate native Nemotron Diffusion NeMo-RL Megatron checkpoints on math benchmarks such as GSM8K and AIME by converting them to Hugging Face format, then…
SkillCFreshness: CClaude Code +9 - 0.406score
copyright
sajadn
NVIDIA copyright header requirements for NeMo-RL.
SkillDFreshness: DClaude Code +9 - 0.406score
error-handling
sajadn
Error handling guidelines for NeMo-RL.
SkillDFreshness: DClaude Code +9
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dfw-cluster skill. Agent Mart. https://agentmart.dev/skills/sajadn-dfw-cluster (last updated 2026-10-24)