agent-platform-deploy agent skill by google

At a glance

Before you install

Read from the skill's files at the directory's October 22, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.

• Bundled scripts: 2 script files (1 Shell, 1 Python). Your agent may run them, so read them first.
• Credential names SKILL.md mentions: HF_TOKEN.
• License: Apache-2.0, an open-source or open-content license.

Install agent-platform-deploy

The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.

npx skills add https://github.com/google/skills/tree/main/skills/cloud/agent-platform-deploy

tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/google/skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/cloud/agent-platform-deploy .claude/skills/
rm -rf "$tmp"

tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/google/skills.git "$tmp/repo"
mkdir -p .agents/skills
cp -R "$tmp/repo/"skills/cloud/agent-platform-deploy .agents/skills/
rm -rf "$tmp"

For a user-level install, copy the folder to ~/.claude/skills/ (Claude Code) or ~/.agents/skills/ (Codex). Inside Codex, $skill-installer can also fetch a skill from GitHub. New to skills? Read How to install agent skills in Claude Code, Codex and Cursor.

google/skills is third-party code. Read SKILL.md and any bundled scripts before you install it.

How the author describes it

Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check the status of an in-progress deployment operation, or clean up resources by undeploying models and deleting endpoints. Use when asked to actively deploy a model, list the Model Garden CATALOG of available models, check if a specific model is deployable (`gcloud ai model-garden models list-deployment-config`), query deployment cost, troubleshoot deployment errors (like quota limits), or undeploy/clean up endpoints. Also use when copying and deploying a 1P Tuned Model. Don't use for pure listing/discovery questions of the form "is X deployed?", "list my endpoints", or "which regions have models running?" — for those use `agent-platform-endpoint-management`. Don't use for running model evaluations (use `agent-platform-eval-flywheel` skill).

From the description field of SKILL.md. Agents read this line to decide when to load the skill.

Sections in SKILL.md

• 1P Tuned Model Copy & Deployment
• Safety & Confirmation Tiers (CRITICAL)
• 1. Prerequisites
• 2. Discovering Deployable Models
• 2.1 Region Availability Check (Gemini + LoRA only)
• 3. Deploying a Model
• Example: Deploying an open-weights model from Model Garden
• 1P Tuned Model Cross-Region Copy and Deployment
• 4. Checking Deployment Status
• Verifying Deployment
• 5. Undeploying and Cleaning Up
• 6. Troubleshooting

Files in the skill folder

• SKILL.md
• 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

Suede Skill Check: 90/100 · A

agent-platform-deploy passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.

Where this skill is cited

google/skills appears in 2 curated lists: VoltAgent/awesome-agent-skills, skillmatic-ai/awesome-agent-skills.

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