Agent skill · Documentation

coreweave-fabric-diagnostics

Diagnose the most expensive silent failure on a CoreWeave multi-node GPU job: GPUDirect RDMA falling back from InfiniBand to TCP. When NCCL drops from NET/IB to NET/Socket, collectives keep running with NO error but throughput collapses (commonly 5-20x slower) while every GPU still bills at full rate — 5x the GPU bill for the same work, invisibly. Paste an NCCL_DEBUG=INFO log (and/or a pod-spec, ibstat, or all_reduce_perf output) and the bundled deterministic script verdicts whether RDMA is actually engaged, which of the three required conditions is missing, and the fix. Use when multi-node

jeremylongshoregithub.com/jeremylongshoreGitHub ↗
claude-codecan modify filesships scriptsMIT
Install
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill coreweave-fabric-diagnostics --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 8
SKILL.md size: 13 KB
Bundled scripts: yes
Version: 1.11.0
Declared author: Jeremy Longshore <jeremy@intentsolutions.io>
Allowed tools: ReadWriteEditGlobBash(kubectlget:*)Bash(python3:*)
Requires: Designed for Claude Code, also compatible with Codex
Path: skills/.curated/coreweave-fabric-diagnostics/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,596
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# CoreWeave Fabric Diagnostics > **Community-contributed.** Not affiliated with, endorsed by, or sponsored by > CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc. Detects when a CoreWeave multi-node GPU job has silently fallen off the InfiniBand fabric onto TCP — the failure that makes distributed training run at a fraction of the hardware's speed while every GPU keeps billing

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About this skill
What does the coreweave-fabric-diagnostics skill do?

Diagnose the most expensive silent failure on a CoreWeave multi-node GPU job: GPUDirect RDMA falling back from InfiniBand to TCP. When NCCL drops from NET/IB to NET/Socket, collectives keep running with NO error but throughput collapses (commonly 5-20x slower) while every GPU still bills at full rate — 5x the GPU bill for the same work, invisibly. Paste an NCCL_DEBUG=INFO log (and/or a pod-spec, ibstat, or all_reduce_perf output) and the bundled deterministic script verdicts whether RDMA is actually engaged, which of the three required conditions is missing, and the fix. Use when multi-node

How do I install it?

Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill coreweave-fabric-diagnostics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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