gcp-cloud-run

Q: How do I install gcp-cloud-run?

Run npx skills add https://github.com/sickn33/agentic-awesome-skills --skill gcp-cloud-run in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/gcp-cloud-run/ (personal) or .claude/skills/gcp-cloud-run/ (project).

by sickn33DevOps & Cloud

Specialized skill for building production-ready serverless applications on GCP. Covers Cloud Run services (containerized), Cloud Run Functions (event-driven), cold start optimization, and event-driven architecture with Pub/Sub.

Installs: 1.5K
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/sickn33/agentic-awesome-skills --skill gcp-cloud-run

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads gcp-cloud-run automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

GCP Cloud Run

Deployment prerequisites

Examples are incomplete integration sketches: application helpers, IAM roles, queues, regions and health/startup probes must be supplied. Select an authorized project/service and budget, private ingress/auth by default, versioned Artifact Registry image and rollback revision. Historical nodejs20/GCR examples require supported-runtime and registry migration checks. Bound max instances and aggregate DB connections; minimum instances and boosts incur costs. A 2xx response must follow completed or durably enqueued work, with idempotency for retries. psutil host-memory readings may not reflect the container cgroup limit; use Cloud Monitoring/container metrics.

Detailed Guide

Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

Calculate memory including /tmp usage

# cloudbuild.yaml
steps:
  - name: 'gcr.io/cloud-builders/gcloud'
    args:
      - 'run'
      - 'deploy'
      - 'my-service'
      - '--memory=1Gi'  # Include /tmp overhead
      - '--image=gcr.io/$PROJECT_ID/my-service'

Monitor memory usage

import psutil
import logging

def log_memory():
    memory = psutil.virtual_memory()
    logging.info(f"Memory: {memory.percent}% used, "
                f"{memory.available / 1024 / 1024:.0f}MB available")

Concurrency=1 Causes Scaling Bottlenecks

Severity: HIGH

Situation: Setting concurrency to 1 for request isolation

Symptoms: Auto-scaling creates many container instances. High latency during traffic spikes. Increased cold starts. Higher costs from more instances.

Why this breaks: Setting concurrency to 1 means each container handles only one request at a time. During traffic spikes:

100 simultaneous in-flight requests may need up to 100 instances, subject to capacity, queuing and limits
Each instance has cold start overhead
More instances = higher costs
Scaling takes time, requests queue up

This should only be used when:

Processing is truly single-threaded
Memory-heavy per-request processing
Using thread-unsafe libraries

Recommended fix: Load-test a concurrency matching handler thread safety, peak memory, latency and downstream connection limits; concurrency 1 can be appropriate.

When to Use

Use this skill when the request clearly matches the capabilities and patterns described above.

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

FAQ

What does the gcp-cloud-run skill do?

How do I install gcp-cloud-run?

Run npx skills add https://github.com/sickn33/agentic-awesome-skills --skill gcp-cloud-run in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/gcp-cloud-run/ (personal) or .claude/skills/gcp-cloud-run/ (project).

Which AI agents can use gcp-cloud-run?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is gcp-cloud-run safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains gcp-cloud-run?

It is published by sickn33 in sickn33/agentic-awesome-skills. It has 1,536 recorded installs.