Individual skill
coreweave-common-errors
Diagnose and fix CoreWeave GPU scheduling, pod, and networking errors. Use when pods are stuck Pending, GPUs are not allocated, or experiencing CUDA and NCCL errors. Trigger with phrases like "coreweave error", "coreweave pod pending", "coreweave gpu not found", "coreweave debug", "fix coreweave".
skills/.curated/coreweave-common-errors/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Yes
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- No
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- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
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Repository context
- Repository stars (not skill ratings)
- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- gpu-cloud Declared skill tag
- kubernetes Declared skill tag
- inference Declared skill tag
- coreweave Declared skill tag
- devops Derived category
- devops-containers Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 5,063 bytesSKILL.mdcore · 5,063 bytesSKILL.mdcore · 5,063 bytesdocs/BLUEPRINT.mddoc · 8,913 bytesreferences/operator-notes.mddoc · 1,212 bytes
Read excerpt
# CoreWeave Evidence-first workload triage
> **Community-contributed.** Not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc.
## Overview
Classify scheduling, container, GPU-memory, storage and connectivity failures.
Use Read to inspect the approved input files, Write the evidence report, and Edit only the proposed local artifact before review.
These procedures complement [CoreWeave’s official skills](https://github.com/coreweave/skills); they do not redistribute or replace that upstream distribution.
## Prerequisites
- The owner-approved organization, cluster context, namespace and resource names.
- A trusted kubeconfig from the approved secret location; no raw credentials in source, logs or terminal history.
- Installed kubectl compatible with the cluster, and authority for each proposed read or change.