gcloud
Google Cloud Platform CLI - manage GCP resources including Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, and more.
Best use case
gcloud is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Google Cloud Platform CLI - manage GCP resources including Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, and more.
Google Cloud Platform CLI - manage GCP resources including Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, and more.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "gcloud" skill to help with this workflow task. Context: Google Cloud Platform CLI - manage GCP resources including Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, and more.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/gcloud/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How gcloud Compares
| Feature / Agent | gcloud | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Google Cloud Platform CLI - manage GCP resources including Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, and more.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# GCloud Skill Use the `gcloud` CLI to manage Google Cloud Platform resources and services. ## Authentication Check current auth: ```bash gcloud auth list ``` Login interactively: ```bash gcloud auth login ``` Login with service account: ```bash gcloud auth activate-service-account --key-file=key.json ``` Application default credentials: ```bash gcloud auth application-default login ``` ## Project & Configuration List projects: ```bash gcloud projects list ``` Set default project: ```bash gcloud config set project PROJECT_ID ``` Show current config: ```bash gcloud config list ``` Create named configuration: ```bash gcloud config configurations create my-config gcloud config configurations activate my-config ``` Set default region/zone: ```bash gcloud config set compute/region us-central1 gcloud config set compute/zone us-central1-a ``` ## Compute Engine (VMs) List instances: ```bash gcloud compute instances list ``` Create instance: ```bash gcloud compute instances create my-vm \ --zone=us-central1-a \ --machine-type=e2-medium \ --image-family=debian-12 \ --image-project=debian-cloud ``` SSH to instance: ```bash gcloud compute ssh my-vm --zone=us-central1-a ``` Stop/start instance: ```bash gcloud compute instances stop my-vm --zone=us-central1-a gcloud compute instances start my-vm --zone=us-central1-a ``` Delete instance: ```bash gcloud compute instances delete my-vm --zone=us-central1-a ``` ## Cloud Run List services: ```bash gcloud run services list ``` Deploy from source: ```bash gcloud run deploy my-service --source . --region=us-central1 ``` Deploy container: ```bash gcloud run deploy my-service \ --image=gcr.io/PROJECT/IMAGE \ --region=us-central1 \ --allow-unauthenticated ``` View logs: ```bash gcloud run services logs read my-service --region=us-central1 ``` Update traffic split: ```bash gcloud run services update-traffic my-service \ --to-revisions=LATEST=100 \ --region=us-central1 ``` ## Cloud Functions List functions: ```bash gcloud functions list ``` Deploy function (2nd gen): ```bash gcloud functions deploy my-function \ --gen2 \ --runtime=nodejs20 \ --region=us-central1 \ --trigger-http \ --entry-point=handler \ --source=. ``` View logs: ```bash gcloud functions logs read my-function --region=us-central1 ``` Delete function: ```bash gcloud functions delete my-function --region=us-central1 ``` ## Google Kubernetes Engine (GKE) List clusters: ```bash gcloud container clusters list ``` Get credentials for kubectl: ```bash gcloud container clusters get-credentials my-cluster \ --zone=us-central1-a ``` Create cluster: ```bash gcloud container clusters create my-cluster \ --zone=us-central1-a \ --num-nodes=3 ``` Resize node pool: ```bash gcloud container clusters resize my-cluster \ --node-pool=default-pool \ --num-nodes=5 \ --zone=us-central1-a ``` ## Cloud Storage List buckets: ```bash gcloud storage buckets list ``` Create bucket: ```bash gcloud storage buckets create gs://my-bucket --location=us-central1 ``` List objects: ```bash gcloud storage ls gs://my-bucket/ ``` Copy files: ```bash # Upload gcloud storage cp local-file.txt gs://my-bucket/ # Download gcloud storage cp gs://my-bucket/file.txt ./ # Recursive gcloud storage cp -r ./local-dir gs://my-bucket/ ``` Sync directory: ```bash gcloud storage rsync -r ./local-dir gs://my-bucket/remote-dir ``` ## Cloud SQL List instances: ```bash gcloud sql instances list ``` Create instance: ```bash gcloud sql instances create my-instance \ --database-version=POSTGRES_15 \ --tier=db-f1-micro \ --region=us-central1 ``` Connect via proxy: ```bash gcloud sql connect my-instance --user=postgres ``` Create database: ```bash gcloud sql databases create mydb --instance=my-instance ``` ## BigQuery List datasets: ```bash bq ls ``` Run query: ```bash bq query --use_legacy_sql=false 'SELECT * FROM dataset.table LIMIT 10' ``` Create dataset: ```bash bq mk --dataset my_dataset ``` Load data: ```bash bq load --source_format=CSV my_dataset.my_table gs://bucket/data.csv ``` ## Pub/Sub List topics: ```bash gcloud pubsub topics list ``` Create topic: ```bash gcloud pubsub topics create my-topic ``` Publish message: ```bash gcloud pubsub topics publish my-topic --message="Hello" ``` Create subscription: ```bash gcloud pubsub subscriptions create my-sub --topic=my-topic ``` Pull messages: ```bash gcloud pubsub subscriptions pull my-sub --auto-ack ``` ## Secret Manager List secrets: ```bash gcloud secrets list ``` Create secret: ```bash echo -n "my-secret-value" | gcloud secrets create my-secret --data-file=- ``` Access secret: ```bash gcloud secrets versions access latest --secret=my-secret ``` Add new version: ```bash echo -n "new-value" | gcloud secrets versions add my-secret --data-file=- ``` ## IAM List service accounts: ```bash gcloud iam service-accounts list ``` Create service account: ```bash gcloud iam service-accounts create my-sa \ --display-name="My Service Account" ``` Create key: ```bash gcloud iam service-accounts keys create key.json \ --iam-account=my-sa@PROJECT.iam.gserviceaccount.com ``` Add IAM binding: ```bash gcloud projects add-iam-policy-binding PROJECT_ID \ --member="serviceAccount:my-sa@PROJECT.iam.gserviceaccount.com" \ --role="roles/storage.admin" ``` ## Cloud Build Submit build: ```bash gcloud builds submit --tag gcr.io/PROJECT/IMAGE ``` List builds: ```bash gcloud builds list ``` View build logs: ```bash gcloud builds log BUILD_ID ``` ## Artifact Registry List repositories: ```bash gcloud artifacts repositories list ``` Configure Docker: ```bash gcloud auth configure-docker us-central1-docker.pkg.dev ``` ## Logging Read logs: ```bash gcloud logging read "resource.type=cloud_run_revision" --limit=50 ``` Tail logs: ```bash gcloud logging tail "resource.type=gce_instance" ``` ## App Engine Deploy app: ```bash gcloud app deploy ``` View logs: ```bash gcloud app logs tail ``` Browse app: ```bash gcloud app browse ``` ## Useful Flags Format as JSON: ```bash gcloud compute instances list --format=json ``` Format as table with specific columns: ```bash gcloud compute instances list --format="table(name,zone,status)" ``` Filter results: ```bash gcloud compute instances list --filter="status=RUNNING" ``` Quiet mode (no prompts): ```bash gcloud compute instances delete my-vm --quiet ``` ## Cheat Sheet Quick reference: ```bash gcloud cheat-sheet ``` Interactive shell: ```bash gcloud interactive ```
Related Skills
azure-quotas
Check/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: "check quotas", "service limits", "current usage", "request quota increase", "quota exceeded", "validate capacity", "regional availability", "provisioning limits", "vCPU limit", "how many vCPUs available in my subscription".
raindrop-io
Manage Raindrop.io bookmarks with AI assistance. Save and organize bookmarks, search your collection, manage reading lists, and organize research materials. Use when working with bookmarks, web research, reading lists, or when user mentions Raindrop.io.
zlibrary-to-notebooklm
自动从 Z-Library 下载书籍并上传到 Google NotebookLM。支持 PDF/EPUB 格式,自动转换,一键创建知识库。
discover-skills
当你发现当前可用的技能都不够合适(或用户明确要求你寻找技能)时使用。本技能会基于任务目标和约束,给出一份精简的候选技能清单,帮助你选出最适配当前任务的技能。
web-performance-seo
Fix PageSpeed Insights/Lighthouse accessibility "!" errors caused by contrast audit failures (CSS filters, OKLCH/OKLAB, low opacity, gradient text, image backgrounds). Use for accessibility-driven SEO/performance debugging and remediation.
project-to-obsidian
将代码项目转换为 Obsidian 知识库。当用户提到 obsidian、项目文档、知识库、分析项目、转换项目 时激活。 【激活后必须执行】: 1. 先完整阅读本 SKILL.md 文件 2. 理解 AI 写入规则(默认到 00_Inbox/AI/、追加式、统一 Schema) 3. 执行 STEP 0: 使用 AskUserQuestion 询问用户确认 4. 用户确认后才开始 STEP 1 项目扫描 5. 严格按 STEP 0 → 1 → 2 → 3 → 4 顺序执行 【禁止行为】: - 禁止不读 SKILL.md 就开始分析项目 - 禁止跳过 STEP 0 用户确认 - 禁止直接在 30_Resources 创建(先到 00_Inbox/AI/) - 禁止自作主张决定输出位置
obsidian-helper
Obsidian 智能笔记助手。当用户提到 obsidian、日记、笔记、知识库、capture、review 时激活。 【激活后必须执行】: 1. 先完整阅读本 SKILL.md 文件 2. 理解 AI 写入三条硬规矩(00_Inbox/AI/、追加式、白名单字段) 3. 按 STEP 0 → STEP 1 → ... 顺序执行 4. 不要跳过任何步骤,不要自作主张 【禁止行为】: - 禁止不读 SKILL.md 就开始工作 - 禁止跳过用户确认步骤 - 禁止在非 00_Inbox/AI/ 位置创建新笔记(除非用户明确指定)
internationalizing-websites
Adds multi-language support to Next.js websites with proper SEO configuration including hreflang tags, localized sitemaps, and language-specific content. Use when adding new languages, setting up i18n, optimizing for international SEO, or when user mentions localization, translation, multi-language, or specific languages like Japanese, Korean, Chinese.
google-official-seo-guide
Official Google SEO guide covering search optimization, best practices, Search Console, crawling, indexing, and improving website search visibility based on official Google documentation
github-release-assistant
Generate bilingual GitHub release documentation (README.md + README.zh.md) from repo metadata and user input, and guide release prep with git add/commit/push. Use when the user asks to write or polish README files, create bilingual docs, prepare a GitHub release, or mentions release assistant/README generation.
doc-sync-tool
自动同步项目中的 Agents.md、claude.md 和 gemini.md 文件,保持内容一致性。支持自动监听和手动触发。
deploying-to-production
Automate creating a GitHub repository and deploying a web project to Vercel. Use when the user asks to deploy a website/app to production, publish a project, or set up GitHub + Vercel deployment.