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Gcp Compute Ops

Community
automateyournetwork
gcp-compute-ops

Google Cloud Compute Engine — VM instances, disks, templates, instance groups, reservations, project discovery. Use when listing GCP VMs, troubleshooting a Compute Engine instance, checking disk attachments, planning capacity with reservations and commitments, or managing instance groups.

Overview

Publisherautomateyournetwork
Repositorynetclaw
Skill namegcp-compute-ops
Stars
680
Forks
189
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by automateyournetwork on GitHub. Read the source before you install it.

Installation

Install the Gcp Compute Ops AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/gcp-compute-ops
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/automateyournetwork/netclaw.git /tmp/netclaw
mkdir -p .claude/skills
cp -r /tmp/netclaw/workspace/skills/gcp-compute-ops .claude/skills/gcp-compute-ops
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gcp Compute Ops in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gcp Compute Ops on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gcp Compute Ops is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

GCP Compute Operations

MCP Servers

  • Compute Engine: https://compute.googleapis.com/mcp (Streamable HTTP)
  • Resource Manager: https://cloudresourcemanager.googleapis.com/mcp (Streamable HTTP)
  • Auth: OAuth 2.0 via Google IAM — service account key (GOOGLE_APPLICATION_CREDENTIALS) or gcloud auth application-default login
  • Requires: GCP_PROJECT_ID environment variable

Key Difference from On-Prem MCP Servers

Google Cloud MCP servers are remote HTTP endpoints hosted by Google — nothing to install locally. Authentication uses OAuth 2.0 / Google IAM, not API keys. The transport is Streamable HTTP, not stdio.

Available Tools (29)

Resource Manager (1 tool)

ToolWhat It Does
search_projectsSearch for GCP projects by parent, ID, or filter. Use this first to discover available projects.

Instance Management (8 tools)

ToolWhat It Does
list_instancesList VM instances in a project (filter by zone)
get_instance_basic_infoGet core instance details — name, status, machine type, network interfaces, IPs
create_instanceProvision a new VM instance
delete_instanceRemove a VM instance
start_instanceBoot a stopped instance
stop_instanceHalt a running instance
reset_instanceRestart an instance (hard reset)
set_instance_machine_typeResize an instance (change machine type)

Instance Groups (3 tools)

ToolWhat It Does
list_instance_group_managersList managed instance groups (MIGs)
get_instance_group_manager_basic_infoGet MIG details — template, target size, autoscaling
list_managed_instancesList instances within a MIG

Instance Templates (3 tools)

ToolWhat It Does
list_instance_templatesList available instance templates
get_instance_template_basic_infoGet template basics — name, description
get_instance_template_propertiesGet template specs — machine type, disks, network interfaces

Disks & Storage (5 tools)

ToolWhat It Does
list_disksList persistent disks in a project
get_disk_basic_infoGet disk metadata — size, type, attached instances
get_disk_performance_configGet disk performance settings — IOPS, throughput
list_snapshotsList disk snapshots
list_instance_attached_disksList disks attached to a specific instance

Resource Discovery (3 tools)

ToolWhat It Does
list_machine_typesList available machine types in a zone (e2, n2, c3, etc.)
list_accelerator_typesList available GPU/TPU types in a zone
list_imagesList available boot images (Debian, Ubuntu, CentOS, etc.)

Reservations & Commitments (6 tools)

ToolWhat It Does
list_reservationsList capacity reservations
get_reservation_basic_infoGet reservation details
get_reservation_detailsGet comprehensive reservation info
list_commitmentsList committed use discounts (CUDs)
get_commitment_basic_infoGet commitment details — term, status
list_commitment_reservationsList reservations tied to a commitment

Operations (1 tool)

ToolWhat It Does
get_zone_operationCheck status of an async operation (create, delete, resize)

Workflow: GCP Infrastructure Audit

When a user asks "show me our GCP compute resources":

  1. Discover projects: search_projects to list all accessible GCP projects
  2. List instances: list_instances per project — name, status, zone, machine type
  3. Network interfaces: get_instance_basic_info to see IPs, VPC, subnet per VM
  4. Instance groups: list_instance_group_managers for autoscaled workloads
  5. Disk inventory: list_disks — size, type, attached instances
  6. Report: GCP compute inventory with status and network details

Workflow: VM Troubleshooting

When investigating a GCP VM issue:

  1. Find the VM: list_instances filtered by name or zone
  2. Get details: get_instance_basic_info — status, machine type, network interfaces, external IP
  3. Check disks: list_instance_attached_disks — any missing or detached?
  4. Check operation: get_zone_operation — any pending/failed operations?
  5. Cross-reference: Use gcp-cloud-logging for instance logs, gcp-cloud-monitoring for metrics
  6. Report: VM health assessment with findings

Workflow: Capacity Planning

When planning GCP compute capacity:

  1. Current usage: list_instances — count by machine type and zone
  2. Reservations: list_reservations — reserved capacity vs actual usage
  3. Commitments: list_commitments — CUD utilization and expiration
  4. Available types: list_machine_types — what's available in target zones
  5. GPU availability: list_accelerator_types — GPU/TPU options per zone
  6. Report: Capacity utilization with recommendations

Important Rules

  • Google Cloud MCP servers are remote — no local install, runs on Google's infrastructure
  • OAuth 2.0 authentication — uses service account or user credentials via IAM
  • Project-scoped — all operations are scoped to the configured GCP project
  • Write operations available — unlike AWS Network MCP, Compute Engine MCP can create/modify/delete VMs. Use ServiceNow CR gating for changes.
  • Record in GAIT — log all GCP operations for audit trail

Environment Variables

  • GCP_PROJECT_ID — Google Cloud project ID
  • GOOGLE_APPLICATION_CREDENTIALS — Path to service account key JSON file (or use gcloud auth application-default login)

Failure Behavior

  • On a tool error (timeout, unreachable host, malformed response), report the failure and its error message directly to the user rather than fabricating or guessing at results.
  • Do not automatically retry a write/mutating operation after a failure — surface the error and get explicit confirmation before retrying, since a blind retry on a partially-applied change can leave state inconsistent.

Frequently asked questions

What does the Gcp Compute Ops AI skill do?

Google Cloud Compute Engine — VM instances, disks, templates, instance groups, reservations, project discovery. Use when listing GCP VMs, troubleshooting a Compute Engine instance, checking disk attachments, planning capacity with reservations and commitments, or managing instance groups.

Why use Gcp Compute Ops on TypingMind?

Because you install it once and use it with any model. Gcp Compute Ops is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gcp Compute Ops in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/gcp-compute-ops. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gcp Compute Ops?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gcp Compute Ops?

As many as you like. As long as a model supports skills, you can use Gcp Compute Ops with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gcp Compute Ops AI skill free?

Yes. It is published on GitHub by automateyournetwork under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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