Gcp Expert
CheckedProvides Google Cloud guidance and assistance for deploying and managing cloud infrastructure.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add personamanagmentlayer/pcl --skill gcp-expert -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
personamanagmentlayer
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned personamanagmentlayer/pcl at 79ccaa9820.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 79ccaa9820
- Manifest
- stdlib/cloud/gcp-expert/SKILL.md
- Scanned
- 1 file, 180 lines
About this skill
What it does
This skill provides expert guidance and assistance for deploying and managing infrastructure on Google Cloud Platform (GCP). It covers core GCP services including Compute Engine, App Engine, Cloud Run, Cloud Functions, Cloud Storage, BigQuery, Firestore, and Pub/Sub, as well as Google Kubernetes Engine (GKE). The skill also demonstrates the use of the gcloud CLI for common tasks like creating instances, deploying applications, managing storage buckets, and interacting with databases.
When to use it
- You need help setting up a new Compute Engine instance.
- You're looking for guidance on deploying an App Engine application.
- You require assistance with querying or loading data into BigQuery.
- You want to understand how to create and manage Firestore documents.
- You’re exploring serverless functions using Cloud Functions and Pub/Sub messaging.
Key capabilities
- Provides examples of
gcloudCLI commands for common GCP tasks. - Demonstrates the creation and management of Compute Engine instances.
- Illustrates App Engine deployment procedures.
- Shows how to create and manage Cloud Storage buckets and upload files.
- Includes code snippets for creating Cloud Functions triggered by HTTP requests or Pub/Sub messages.
- Provides examples of BigQuery queries and data loading from CSV files.
- Demonstrates Firestore document creation, querying, and real-time listening.
- Shows how to publish messages using Pub/Sub.
Example prompts
- "How do I create a Compute Engine instance in GCP?"
- "Can you show me an example of deploying an App Engine application?"
- "What's the best way to load data from a CSV file into BigQuery?"
Tips & gotchas
- This skill provides code examples and CLI commands, but assumes some familiarity with Google Cloud concepts.
- Replace placeholder values like
project-id,topic-name, dataset IDs, and table IDs with your actual GCP project details. - The provided code snippets are for illustrative purposes; adapt them to your specific use case.