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

An AI agent skill from google/skills, scored 86 out of 100 by code and Verified.

86/ 100AVerified

Code score by group

  • Spec20/20
  • Description15/20
  • Procedure12/15
  • Done criteria15/15
  • Resources9/10
  • Scripts3/8
  • Safety7/7
  • Upkeep5/5

It loses the most points in Description (5), the group that checks whether the description says what the skill does and when to use it.

What the author says it does

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).

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
google/skills
Folder
skills/cloud/gke-ai-troubleshooting-tpu-dynamic-slices-monitoring
License
Apache-2.0
GitHub stars
23,991
SKILL.md lines
168
Other files
3

Add gke-ai-troubleshooting-tpu-dynamic-slices-monitoring to your agent

npx skills add google/skills --skill gke-ai-troubleshooting-tpu-dynamic-slices-monitoring

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

Labelled for

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Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.