gke-ai-troubleshooting-tpu-dynamic-slices-monitoring

gke-ai-troubleshooting-tpu-dynamic-slices-monitoring is a Containers & Kubernetes skill for AI agents, published by google in the skills repository on GitHub. Skillspace rates gke-ai-troubleshooting-tpu-dynamic-slices-monitoring D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Monitors, troubleshoots, and manages GKE TPU Dynamic Slices custom resources. Use when checking TPU slice lifecycle states, troubleshooting slice provisioning failures, validating single-slice or multi-slice (JobSet) workload manifests, or safely patching stuck finalizers and disabling the slice controller. Don't use for generic GKE cluster node pool creation or standard non-TPU workload management (use gke-basics or gke-cluster-creation instead).

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
19,848

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubgoogle/skills

Our review

Architecture
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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