Diagnose GKE Cloud TPU multi-slice training hangs (Megascale `HANG_DETECTED` logs and hang monitored events) using the ML Diagnostics `Megascale XLA (MXLA) Hang Analyzer` (`gcloud alpha mldiagnostics monitored-events`) and 1-minute Cloud Monitoring multi-slice latency metrics (`kubernetes.io/container/multislice/*`).
Install
npx skills add google/skills --skill gke-ai-troubleshooting-tpu-mxla-hangnpx skills add google/skills --skill gke-ai-troubleshooting-tpu-mxla-hang -a claude-code -gnpx skills add google/skills --skill gke-ai-troubleshooting-tpu-mxla-hang -a codex -ggemini skills install https://github.com/google/skills.git --path skills/cloud/gke-ai-troubleshooting-tpu-mxla-hanggh skill install google/skills gke-ai-troubleshooting-tpu-mxla-hanggit clone --depth 1 https://github.com/google/skills /tmp/google__skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/google__skills/skills/cloud/gke-ai-troubleshooting-tpu-mxla-hang ~/.claude/skills/gke-ai-troubleshooting-tpu-mxla-hang # Claude Code
cp -R /tmp/google__skills/skills/cloud/gke-ai-troubleshooting-tpu-mxla-hang ~/.agents/skills/gke-ai-troubleshooting-tpu-mxla-hang # Codex, Cursor, Gemini CLI, Copilot, OpenCode