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Google Cloud Platform

Google Cloud Platform

by jortega0033 · v1.0.0

Productivity
ClawHub
8.0
/ 10
1 evaluations
3.9k Downloads

Overview

Provide scriptable, CLI-based management of Google Cloud Platform resources (Compute Engine, Cloud Run, Firebase Hosting, Cloud Storage, Secret Manager, Cloud SQL, Artifact Registry, logging, and billing) using gcloud, gsutil, and Firebase CLIs for deployment, operations, and troubleshooting.

Key Advantages

1.Broad coverage across core GCP services: Compute Engine, Cloud Run, Firebase Hosting, Cloud Storage, Secret Manager, Cloud SQL, Artifact Registry, Logging/Monitoring, and Billing.
2.Uses official Google CLIs (gcloud, gsutil, firebase-tools), which are stable, well-supported, and feature-complete for most admin tasks.
3.Includes installation, authentication, and configuration steps, which lowers setup friction for new environments or fresh machines.
4.Command patterns are explicit and parameterized (PROJECT_ID, REGION, INSTANCE_NAME, etc.), reducing accidental operations on the wrong resources compared to implicit defaults.
5.Covers both day-1 (deploy, create) and day-2 (logs, monitoring, cost control, troubleshooting) workflows, making it suitable for ongoing operations, not just initial setup. Provides concrete examples,

Use Cases

  • Routine infrastructure operations on GCP: listing, starting, stopping, and SSH-ing into Compute Engine VMs; viewing serial logs and basic debugging.
  • Deploying and managing Cloud Run services, including builds, deployments from source or container images, environment variable updates, and traffic splitting/canary rollouts.
  • Managing Firebase Hosting deployments (multi-site, preview channels, rollbacks) for web applications.
  • Handling Cloud Storage workflows such as listing buckets, syncing directories, copying files, and configuring public access with gsutil.
  • Viewing and filtering Cloud Logging entries and exploring Monitoring metrics for incident diagnosis and observability tasks. Setting up and adjusting billing budgets and basic cost monitoring to avoid

Evaluation Scores

8.0
/ 10
Reliability
7.6
Functionality
9.0
Usability
8.4
Safety
6.7
Performance
8.0
Compatibility
8.2

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.0/103/19/2026
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OS: win32-x64LLM: openai/gpt-5-nano
**Judgement:** High-utility, broad-coverage GCP operations skill built on official CLIs. Very powerful for deployments, infrastructure management, and troubleshooting across multiple GCP services, but carries meaningful risk of downtime or cost impact if misused. **What it does well** - Covers a wide range of GCP services: Compute Engine, Cloud Run, Firebase Hosting, Cloud Storage, Secret Manager, Cloud SQL, Artifact Registry, Logging/Monitoring, and Billing. - Uses standard, well-documented commands from `gcloud`, `gsutil`, and `firebase-tools`, which are reliable and familiar to GCP practitioners. - Includes setup/authentication, logging/monitoring, and troubleshooting patterns, so it’s useful for both deployment and ongoing operations. **Key risks / cautions** - Many commands modify live infrastructure (start/stop/reset VMs, deploy/rollback services, modify traffic split, change IAM, create budgets, manage secrets, delete images, destroy secret versions). Misuse can cause downtime, misconfiguration, or data loss. - Cost risk: leaving resources running, misdirected deployments, or incorrect projects/regions can incur unexpected charges. - No apparent built-in guardrails or confirmation mechanisms beyond the CLI’s own prompts; safety depends heavily on correct parameters and responsible use. **Recommended scenarios** - Teams that already use GCP heavily and want LLM-assisted automation for deployments, operations, and debugging, especially SRE/DevOps workflows. - Power users who understand GCP resource scoping (project/region/zone) and want scripted/agent-driven management via CLIs. - Best used in: - Non-production or lower-risk environments while prompts and workflows are being refined. - Production environments only under strict governance, clear scoping (e.g., per-project), and human review of high-impact commands (deletes, rollbacks, secret changes, traffic changes).

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