Cloud Cost Optimization
wshobson/agents
Cuts cloud spend across AWS, Azure, GCP and OCI with cost tagging, rightsizing, commitment and spot pricing models, and architecture changes.
Manage Compute Engine instances and instance templates. An agent skill from sickn33/agentic-awesome-skills.
$ npx skills add sickn33/agentic-awesome-skills --skill gcp-compute -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills gcp-compute --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gcp-compute .claude/skills/gcp-compute && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "gcp-compute" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gcp-compute into .claude/skills/gcp-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-compute", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gcp-computeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill gcp-compute -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills gcp-compute --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/gcp-compute .agents/skills/gcp-compute && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gcp-compute" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gcp-compute into .agents/skills/gcp-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-compute", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill gcp-compute -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills gcp-compute --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/gcp-compute .cursor/skills/gcp-compute && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "gcp-compute" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gcp-compute into .cursor/skills/gcp-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-compute", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/gcp-compute--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill gcp-compute -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills gcp-compute --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/gcp-compute .gemini/skills/gcp-compute && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "gcp-compute" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gcp-compute into .gemini/skills/gcp-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-compute", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills gcp-computeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill gcp-compute -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/gcp-compute .github/skills/gcp-compute && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "gcp-compute" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gcp-compute into .github/skills/gcp-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-compute", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill gcp-compute -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills gcp-compute --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/gcp-compute .opencode/skills/gcp-compute && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "gcp-compute" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gcp-compute into .opencode/skills/gcp-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-compute", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
gcp-computeManage Compute Engine instances and instance templates. An agent skill from sickn33/agentic-awesome-skills.
GCP Compute is an agent skill from sickn33/agentic-awesome-skills. Manage Compute Engine instances and instance templates. Configure managed instance groups and preemptible VMs. Use when deploying compute resources on GCP.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
It sits in DevOps & Cloud. It works with Google Cloud. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
Read from SKILL.md and the folder at commit 680176d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gcloudapt-getcurlFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gcloud and curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
From compatibility in the SKILL.md frontmatter.
GCP Compute loads about 2.6k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 343 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 343 words, ~2,577 tokens.
.claude/skills/gcp-compute/SKILL.md (or your agent's skills folder).Deploy, manage, and scale Compute Engine virtual machines on Google Cloud Platform.
gcloud) installed and authenticatedroles/compute.admin or scoped roles for instance managementgcloud auth list
gcloud config set project $PROJECT_ID
gcloud services enable compute.googleapis.com| Family | Example | vCPUs | Memory | Use Case |
|---|---|---|---|---|
| E2 | e2-micro | 0.25 | 1 GB | Dev/test, microservices |
| E2 | e2-medium | 1 | 4 GB | Light web servers |
| N2 | n2-standard-4 | 4 | 16 GB | General-purpose production |
| N2 | n2-highmem-8 | 8 | 64 GB | In-memory caches, databases |
| C2 | c2-standard-16 | 16 | 64 GB | Compute-intensive, HPC |
# List machine types available in a zone
gcloud compute machine-types list --zones=us-central1-a --filter="name~'e2-'"
# Create a custom machine type (6 vCPUs, 24 GB RAM)
gcloud compute instances create custom-vm \
--custom-cpu=6 --custom-memory=24GB \
--zone=us-central1-a \
--image-family=debian-12 --image-project=debian-cloud# Production instance with shielded VM and startup script
gcloud compute instances create web-server \
--machine-type=e2-medium \
--zone=us-central1-a \
--image-family=debian-12 \
--image-project=debian-cloud \
--boot-disk-size=20GB \
--boot-disk-type=pd-balanced \
--tags=http-server,https-server \
--labels=env=production,team=backend \
--metadata=enable-oslogin=TRUE \
--shielded-secure-boot \
--shielded-vtpm \
--shielded-integrity-monitoring
# Instance with a startup script and service account
gcloud compute instances create app-server \
--machine-type=e2-standard-2 \
--zone=us-central1-a \
--image-family=ubuntu-2204-lts \
--image-project=ubuntu-os-cloud \
--boot-disk-size=50GB \
--metadata-from-file=startup-script=startup.sh \
--service-account=app-sa@${PROJECT_ID}.iam.gserviceaccount.com \
--scopes=cloud-platform
# Instance with an additional data disk
gcloud compute instances create db-server \
--machine-type=n2-highmem-4 \
--zone=us-central1-a \
--image-family=debian-12 --image-project=debian-cloud \
--boot-disk-size=20GB \
--create-disk=name=data-disk,size=200GB,type=pd-ssd,auto-delete=no#!/bin/bash
# startup.sh - runs on first boot and every reboot
set -euo pipefail
apt-get update && apt-get install -y nginx
systemctl enable nginx && systemctl start nginx
curl -X PUT -H "Metadata-Flavor: Google" \
"http://metadata.google.internal/computeMetadata/v1/instance/guest-attributes/startup/status" \
-d "complete"# Create an instance template
gcloud compute instance-templates create web-template \
--machine-type=e2-medium \
--image-family=debian-12 --image-project=debian-cloud \
--boot-disk-size=20GB --tags=http-server \
--metadata-from-file=startup-script=startup.sh
# Create a regional managed instance group (MIG) with health check
gcloud compute health-checks create http http-health-check \
--port=80 --request-path=/healthz \
--check-interval=10s --timeout=5s \
--healthy-threshold=2 --unhealthy-threshold=3
gcloud compute instance-groups managed create web-mig \
--template=web-template --size=3 \
--region=us-central1 \
--health-check=http-health-check --initial-delay=120
# Configure autoscaling
gcloud compute instance-groups managed set-autoscaling web-mig \
--region=us-central1 \
--min-num-replicas=2 --max-num-replicas=10 \
--target-cpu-utilization=0.65 --cool-down-period=90
# Rolling update to a new template
gcloud compute instance-groups managed rolling-action start-update web-mig \
--version=template=web-template-v2 \
--region=us-central1 --max-surge=3 --max-unavailable=0# Spot VM (recommended over legacy preemptible)
gcloud compute instances create spot-worker \
--machine-type=n2-standard-8 \
--zone=us-central1-a \
--image-family=debian-12 --image-project=debian-cloud \
--provisioning-model=SPOT \
--instance-termination-action=STOP
# Spot instance template for batch MIG
gcloud compute instance-templates create batch-template \
--machine-type=n2-standard-4 \
--image-family=debian-12 --image-project=debian-cloud \
--provisioning-model=SPOT \
--instance-termination-action=DELETE# Create a snapshot
gcloud compute disks snapshot web-server \
--zone=us-central1-a \
--snapshot-names=web-server-snap-$(date +%Y%m%d)
# Scheduled snapshot policy
gcloud compute resource-policies create snapshot-schedule daily-backup \
--region=us-central1 --max-retention-days=14 \
--daily-schedule --start-time=03:00
gcloud compute disks add-resource-policies web-server \
--zone=us-central1-a --resource-policies=daily-backup
# Create a custom image from an instance
gcloud compute instances stop web-server --zone=us-central1-a
gcloud compute images create web-golden-image \
--source-disk=web-server --source-disk-zone=us-central1-a \
--family=web-server --labels=version=v1resource "google_compute_instance" "web" {
name = "web-server"
machine_type = "e2-medium"
zone = "us-central1-a"
tags = ["http-server", "https-server"]
boot_disk {
initialize_params {
image = "debian-cloud/debian-12"
size = 20
type = "pd-balanced"
}
}
network_interface {
subnetwork = google_compute_subnetwork.main.id
access_config {}
}
metadata_startup_script = file("${path.module}/startup.sh")
service_account {
email = google_service_account.app.email
scopes = ["cloud-platform"]
}
shielded_instance_config {
enable_secure_boot = true
enable_vtpm = true
enable_integrity_monitoring = true
}
}
resource "google_compute_instance_template" "web" {
name_prefix = "web-"
machine_type = "e2-medium"
disk {
source_image = "debian-cloud/debian-12"
auto_delete = true
boot = true
disk_size_gb = 20
}
network_interface {
subnetwork = google_compute_subnetwork.main.id
}
lifecycle { create_before_destroy = true }
}
resource "google_compute_region_instance_group_manager" "web" {
name = "web-mig"
base_instance_name = "web"
region = "us-central1"
version {
instance_template = google_compute_instance_template.web.id
}
target_size = 3
named_port { name = "http"; port = 80 }
auto_healing_policies {
health_check = google_compute_health_check.http.id
initial_delay_sec = 120
}
}
resource "google_compute_region_autoscaler" "web" {
name = "web-autoscaler"
region = "us-central1"
target = google_compute_region_instance_group_manager.web.id
autoscaling_policy {
min_replicas = 2
max_replicas = 10
cooldown_period = 90
cpu_utilization { target = 0.65 }
}
}# SSH into an instance
gcloud compute ssh web-server --zone=us-central1-a
# List all instances with status
gcloud compute instances list \
--format="table(name,zone,status,machineType.basename())"
# Stop / start / resize
gcloud compute instances stop web-server --zone=us-central1-a
gcloud compute instances set-machine-type web-server \
--machine-type=e2-standard-4 --zone=us-central1-a
gcloud compute instances start web-server --zone=us-central1-a
# View serial port output (debug startup scripts)
gcloud compute instances get-serial-port-output web-server --zone=us-central1-a| Symptom | Cause | Fix |
|---|---|---|
| Instance stuck in STAGING | Quota exceeded or resource unavailable | Check quota with gcloud compute project-info describe; try another zone |
| Startup script not running | Syntax errors or wrong metadata key | Check serial output; ensure key is startup-script not startup_script |
| Cannot SSH | Firewall blocks port 22 or OS Login misconfigured | Add firewall rule for tcp:22; verify enable-oslogin metadata |
| Preempted too often | Zone resource pressure | Use Spot VM with STOP action; spread across zones in a MIG |
| Disk out of space | Boot disk too small | Use gcloud compute disks resize; enable --storage-auto-increase for data disks |
| MIG not healing | Health check misconfigured or initial delay too short | Verify health check path returns 200; increase --initial-delay |
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/gcp-compute of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 680176d
We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
GCP Compute next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| GCP Compute this skillsickn33/agentic-awesome-skills | 47k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Cloud Cost Optimizationwshobson/agents | 40k | 14 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit | 260 | 6 repos | ~1.1k | Automated safety check: Notes | Custom licence | |
| Terravision Cloud Diagramspatrickchugh/terravision | 1.6k | — | ~5.6k | Automated safety check: Notes | AGPL-3.0-only | |
| Thesvgglincker/thesvg | 2.8k | — | ~1.5k | Automated safety check: Pass | MIT | |
| TerrasharkLukasNiessen/terrashark | 715 | — | ~843 | Automated safety check: Pass | MIT |
wshobson/agents
Cuts cloud spend across AWS, Azure, GCP and OCI with cost tagging, rightsizing, commitment and spot pricing models, and architecture changes.
maslennikov-ig/claude-code-orchestrator-kit
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…
patrickchugh/terravision
Draw cloud architecture diagrams for AWS, Azure or GCP with the official provider icon sets, using TerraVision.
glincker/thesvg
Fetch brand SVG logos and cloud architecture icons (AWS, Azure, GCP) from theSVG.
LukasNiessen/terrashark
Prevent Terraform/OpenTofu hallucinations by diagnosing and fixing failure modes: identity churn, secret exposure, blast-radius mistakes, CI drift, and compliance gate gaps.
nicepkg/auto-company
Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm).
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Works with
Categories
Manage Compute Engine instances and instance templates. An agent skill from sickn33/agentic-awesome-skills. GCP Compute is an agent skill from sickn33/agentic-awesome-skills. Manage Compute Engine instances and instance templates.
GCP Compute fits situations like: deploying compute resources on GCP.
Run `npx skills add sickn33/agentic-awesome-skills --skill gcp-compute -a claude-code`. Or copy the skill folder (skills/gcp-compute in sickn33/agentic-awesome-skills) into .claude/skills/gcp-compute in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill gcp-compute -a codex`. Or copy the skill folder (skills/gcp-compute in sickn33/agentic-awesome-skills) into .agents/skills/gcp-compute in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill gcp-compute -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gcp-compute, .gemini/skills/gcp-compute, .github/skills/gcp-compute and .opencode/skills/gcp-compute in your project.
Going by SKILL.md and its folder, GCP Compute needs the command-line tools its instructions call (gcloud, apt-get and curl). Compatibility (from SKILL.md): Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled..
SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
GCP Compute is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with GCP Compute: Cloud Cost Optimization (wshobson/agents, 40k stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), Terravision Cloud Diagrams (patrickchugh/terravision, 1.6k stars) and Thesvg (glincker/thesvg, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.