Diagnose GPU issues on Alibaba Cloud ECS GPU instances: GPU device status, driver issues, and GPU hardware failures. Use when users ask to check the GPU status of their GPU instances, detect whether the GPU device is visible, verify that the GPU driver is installed correctly, or troubleshoot GPU anomalies such as GPU not visible or deep learning task failures. Run Console Diagnosis or Cloud Assistant Diagnosis (RunCommand) to detect GPU hardware failures, perform batch diagnosis of GPU servers, or create scheduled…
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.claude/skills/alibabacloud-ecs-gpu-diagnosisRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/alibabacloud-ecs-gpu-diagnosisRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/alibabacloud-ecs-gpu-diagnosisRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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sha256:a4fde791233c1448988995c0019b9f54824f05c663428430b21a61e08a3ea2a9references/cli-installation.mdreferences/ram-policies.mdskill-card.mdSKILL.md**Major Update:** This version introduces batch and scheduled diagnosis, parallel execution of diagnostic methods, and strict output formatting. - Supports batch and scheduled GPU diagnosis via Cloud Assistant (`RunCommand`/`CreateCommand`) in addition to single-instance mode - In single-instance diagnosis, runs both Console Diagnosis and Cloud Assistant Diagnosis in parallel; results are output as soon as available, grouped by method - Strict execution and output rules: do not merge or deduplicate findings, never delete resources, enforce method-specific result sections - Requires CLI version >= 3.3.3 and enables auto-plugin installation - Updated prerequisites, permissions reminder, and parameter/OS validation logic for batch mode - Enforces inclusion of a session-based user agent in every API command for observability - Removes obsolete file (`skill-card.md`) and updates documentatio…