gcloud▌
dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations · updated Apr 8, 2026
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Use the gcloud CLI to manage Google Cloud Platform resources and services.
GCloud Skill
Use the gcloud CLI to manage Google Cloud Platform resources and services.
Authentication
Check current auth:
gcloud auth list
Login interactively:
gcloud auth login
Login with service account:
gcloud auth activate-service-account --key-file=key.json
Application default credentials:
gcloud auth application-default login
Project & Configuration
List projects:
gcloud projects list
Set default project:
gcloud config set project PROJECT_ID
Show current config:
gcloud config list
Create named configuration:
gcloud config configurations create my-config
gcloud config configurations activate my-config
Set default region/zone:
gcloud config set compute/region us-central1
gcloud config set compute/zone us-central1-a
Compute Engine (VMs)
List instances:
gcloud compute instances list
Create instance:
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:
gcloud compute ssh my-vm --zone=us-central1-a
Stop/start instance:
gcloud compute instances stop my-vm --zone=us-central1-a
gcloud compute instances start my-vm --zone=us-central1-a
Delete instance:
gcloud compute instances delete my-vm --zone=us-central1-a
Cloud Run
List services:
gcloud run services list
Deploy from source:
gcloud run deploy my-service --source . --region=us-central1
Deploy container:
gcloud run deploy my-service \
--image=gcr.io/PROJECT/IMAGE \
--region=us-central1 \
--allow-unauthenticated
View logs:
gcloud run services logs read my-service --region=us-central1
Update traffic split:
gcloud run services update-traffic my-service \
--to-revisions=LATEST=100 \
--region=us-central1
Cloud Functions
List functions:
gcloud functions list
Deploy function (2nd gen):
gcloud functions deploy my-function \
--gen2 \
--runtime=nodejs20 \
--region=us-central1 \
--trigger-http \
--entry-point=handler \
--source=.
View logs:
gcloud functions logs read my-function --region=us-central1
Delete function:
gcloud functions delete my-function --region=us-central1
Google Kubernetes Engine (GKE)
List clusters:
gcloud container clusters list
Get credentials for kubectl:
gcloud container clusters get-credentials my-cluster \
--zone=us-central1-a
Create cluster:
gcloud container clusters create my-cluster \
--zone=us-central1-a \
--num-nodes=3
Resize node pool:
gcloud container clusters resize my-cluster \
--node-pool=default-pool \
--num-nodes=5 \
--zone=us-central1-a
Cloud Storage
List buckets:
gcloud storage buckets list
Create bucket:
gcloud storage buckets create gs://my-bucket --location=us-central1
List objects:
gcloud storage ls gs://my-bucket/
Copy files:
# 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:
gcloud storage rsync -r ./local-dir gs://my-bucket/remote-dir
Cloud SQL
List instances:
gcloud sql instances list
Create instance:
gcloud sql instances create my-instance \
--database-version=POSTGRES_15 \
--tier=db-f1-micro \
--region=us-central1
Connect via proxy:
gcloud sql connect my-instance --user=postgres
Create database:
gcloud sql databases create mydb --instance=my-instance
BigQuery
List datasets:
bq ls
Run query:
bq query --use_legacy_sql=false 'SELECT * FROM dataset.table LIMIT 10'
Create dataset:
bq mk --dataset my_dataset
Load data:
bq load --source_format=CSV my_dataset.my_table gs://bucket/data.csv
Pub/Sub
List topics:
gcloud pubsub topics list
Create topic:
gcloud pubsub topics create my-topic
Publish message:
gcloud pubsub topics publish my-topic --message="Hello"
Create subscription:
gcloud pubsub subscriptions create my-sub --topic=my-topic
Pull messages:
gcloud pubsub subscriptions pull my-sub --auto-ack
Secret Manager
List secrets:
gcloud secrets list
Create secret:
echo -n "my-secret-value" | gcloud secrets create my-secret --data-file=-
Access secret:
gcloud secrets versions access latest --secret=my-secret
Add new version:
echo -n "new-value" | gcloud secrets versions add my-secret --data-file=-
IAM
List service accounts:
gcloud iam service-accounts list
Create service account:
gcloud iam service-accounts create my-sa \
--display-name="My Service Account"
Create key:
gcloud iam service-accounts keys create key.json \
--iam-account=[email protected]
Add IAM binding:
gcloud projects add-iam-policy-binding PROJECT_ID \
--member="serviceAccount:[email protected]" \
--role="roles/storage.admin"
Cloud Build
Submit build:
gcloud builds submit --tag gcr.io/PROJECT/IMAGE
List builds:
gcloud builds list
View build logs:
gcloud builds log BUILD_ID
Artifact Registry
List repositories:
gcloud artifacts repositories list
Configure Docker:
gcloud auth configure-docker us-central1-docker.pkg.dev
Logging
Read logs:
gcloud logging read "resource.type=cloud_run_revision" --limit=50
Tail logs:
gcloud logging tail "resource.type=gce_instance"
App Engine
Deploy app:
gcloud app deploy
View logs:
gcloud app logs tail
Browse app:
gcloud app browse
Useful Flags
Format as JSON:
gcloud compute instances list --format=json
Format as table with specific columns:
gcloud compute instances list --format="table(name,zone,status)"
Filter results:
gcloud compute instances list --filter="status=RUNNING"
Quiet mode (no prompts):
gcloud compute instances delete my-vm --quiet
Cheat Sheet
Quick reference:
gcloud cheat-sheet
Interactive shell:
gcloud interactive
How to use gcloud on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add gcloud
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches gcloud from GitHub repository dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate gcloud. Access the skill through slash commands (e.g., /gcloud) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★26 reviews- ★★★★★Zara Yang· Dec 20, 2024
gcloud is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Nia Brown· Nov 19, 2024
gcloud has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Layla Taylor· Nov 15, 2024
Useful defaults in gcloud — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Yash Thakker· Nov 11, 2024
I recommend gcloud for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Dev Park· Nov 11, 2024
Solid pick for teams standardizing on skills: gcloud is focused, and the summary matches what you get after install.
- ★★★★★Amina Chawla· Oct 10, 2024
Solid pick for teams standardizing on skills: gcloud is focused, and the summary matches what you get after install.
- ★★★★★Tariq Srinivasan· Oct 6, 2024
I recommend gcloud for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Dhruvi Jain· Oct 2, 2024
Useful defaults in gcloud — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Zara Sharma· Oct 2, 2024
gcloud has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Arjun Thompson· Sep 21, 2024
gcloud fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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