Skip to content
Get packs

Agent Platform Model Deploy

Deploy Model Garden models to endpoints, check deployment status, and undeploy or delete them with confirmations.

Source Download skill
Repository
google/skills
Stars
21,782
Licence
Apache-2.0
Files
8 files

What it does

Once installed, the agent can help you put open AI models from Google Cloud's Model Garden onto hosted endpoints, check on deployments that are still in progress, estimate hourly cost, troubleshoot errors such as quota limits, and clean up by undeploying models or deleting endpoints. It runs gcloud commands for you and follows strict safety tiers: read-only listing runs freely, while deploying or deleting requires you to review a confirmation card and approve it first. Simple questions like which endpoints exist are routed to a different skill.

Great for

  • Engineers deploying open or custom-tuned models to Google Cloud Agent Platform endpoints
  • Teams that need to estimate hourly cost and clean up unused endpoints to avoid ongoing charges
  • People copying a first-party tuned model to another region or project

Skip it if

  • Simple listing of existing endpoints or deployments, which the description says belongs to another skill (agent-platform-endpoint-management)
  • Running model evaluations, which is handled by a different skill (agent-platform-eval-flywheel)
  • Anyone without a Google Cloud project and billing set up, since deployments create costly running resources

Try asking

  • “Deploy a Gemma model from Model Garden to an endpoint in us-central1 with an estimated hourly cost”
  • “Check the status of my in-progress model deployment operation”
  • “Undeploy the model from my endpoint and delete the endpoint to stop charges”
  • “Why did my model deployment fail with a quota error, and how do I fix it?”
Step-by-step guide: how to use Agent Platform Model DeployInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 8 original files, the Apache-2.0 licence and an attribution note.

    agent-platform-deploy.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip agent-platform-deploy.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip agent-platform-deploy.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Always review the exact gcloud command and estimated $/hr in the confirmation card before approving a deploy, and undeploy when finished to stop charges.
  • Cost estimates come from hardcoded prices last updated on 2026-07-08 and may differ from your actual bill due to region, discounts, or reservations; verify prices before relying on them.
  • Give the agent a specific model ID or use case so it can query the live catalog rather than relying on memory for model names.

What's inside

  • references/copy_deploy_guide.md
  • references/region_availability.md
  • references/troubleshooting.md
  • references/undeploy_guide.md
  • references/usage.md
  • scripts/calculate_cost.py
  • scripts/config_gcloud_cli.sh
  • SKILL.md

Redistributed unmodified from google/skills under the Apache-2.0 licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.