Query and filter Cloud Logging data across GCP projects using gcloud logging read.
npx skills add https://github.com/kubony/openclaw-gcp-setup --skill gcp-logs
Please help me install this Agent Skill. Skill: gcp-logs Source: https://github.com/kubony/openclaw-gcp-setup/tree/main/.claude/skills/gcp-logs Command: npx skills add https://github.com/kubony/openclaw-gcp-setup --skill gcp-logs
Cloud environments generate vast amounts of logs across VMs, serverless services, and Kubernetes. This Skill provides an easy way to query and filter Cloud Logging data across GCP projects, enabling rapid troubleshooting and health monitoring.
Use the gcp-logs skill to fetch recent logs with /gcp-logs. To narrow to errors, run /gcp-logs errors. To target a specific VM, run /gcp-logs my-vm.
High-intent search queries and answers about installing and using this skill.
To query GCP Cloud Logging data, you can use commands to filter logs across VMs, Cloud Run, Cloud Functions, and Kubernetes by applying severity filters, time ranges, and resource-specific queries.
You can filter Cloud Run logs by applying severity filters and time ranges to pinpoint errors and performance issues across your serverless services.
Yes, you can use gcloud logging read with standard Cloud Logging permissions to extract Kubernetes logs and output results in table or JSON formats.
You need standard Cloud Logging permissions to view GCP logs across VMs, Cloud Run, Cloud Functions, and Kubernetes resources.
The best way to identify recent error events is to filter Cloud Logging data by severity and resource type, then export a concise report for on-call teams.
GCP logs may not show up if you lack standard Cloud Logging permissions or if your query filters do not match the target resource types, time ranges, or severity levels.
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