What permissions are required to use the gcp-logs skill?

You must have the gcloud CLI installed and authenticated with an account that has at least the Logging Viewer (roles/logging.viewer) role for your target GCP project.

Can I filter logs for specific Google Cloud services?

Yes, the skill provides optimized query patterns for major services including Google Kubernetes Engine (GKE), Cloud Run, Compute Engine (VMs), and Cloud Functions.

How do I search for specific text within a log message?

The skill includes workflows for text-based searching within the textPayload and jsonPayload fields, supporting both exact matches and RE2 regular expressions.

Does this skill support live log streaming?

Absolutely. It includes commands for 'gcloud logging tail', allowing you to see logs in real-time as they are ingested by Cloud Logging.

Can I use this skill to reduce GCP logging costs?

Yes, by helping you set up specific exclusion filters or metrics-based logging, you can better manage ingestion volume and associated costs.

GCP Cloud Logging Explorer

Name: GCP Cloud Logging Explorer
Author: kubony

bykubony

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분석 및 모니터링

Streamlines querying, filtering, and monitoring Google Cloud Platform logs within the Claude Code environment.

The GCP Cloud Logging skill provides a comprehensive interface for managing Google Cloud logs directly through Claude. It simplifies complex gcloud logging commands, allowing developers to quickly filter by severity, resource types like GKE or Cloud Run, and specific time ranges. Whether you are debugging production errors, streaming real-time logs, or setting up automated sinks to BigQuery, this skill provides the necessary patterns and implementation guidance to maintain high observability of your GCP infrastructure.

주요 기능

01Real-time log streaming (tail) for live application monitoring.

02Structured JSON payload inspection and regex-based text searching.

03Resource-specific queries for GKE, Cloud Run, Cloud Functions, and GCE.

04Advanced log filtering by severity levels, timestamps, and resource labels.

05Automated workflows for creating log sinks and log-based metrics.

069 GitHub stars

사용 사례

01Monitoring deployment health in real-time using live log streaming for Cloud Run or GKE.

02Rapidly isolating production errors by filtering for ERROR severity across specific microservices.

03Analyzing system trends by exporting filtered logs to BigQuery for long-term data analysis.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kubony/openclaw-gcp-setup gcp-logs

For use in Claude.ai and ChatGPT