agent-platform-endpoint-management
Manages Agent Platform serving endpoints.
Skill by googleOfficial
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: agent-building
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/agent-platform-endpoint-management
What's inside
- Skill name
agent-platform-endpoint-management- Description
- Manages Agent Platform serving endpoints. Use when you need to create, list, describe, update, or delete serving endpoints for model deployment on Agent Platform. Also use when troubleshooting endpoint permission, quota, or resource busy errors. Don't use for deploying models to endpoints or for running model evaluations.
- License
- Apache-2.0
- Metadata
- version: 1.0.1 · category: AiAndMachineLearning
- Instructions
- 177 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Agent Platform Endpoint Management
## Overview
This skill provides procedural knowledge for managing Agent Platform Endpoints.
Endpoints are logical serving hosts that provide a stable URL for online
predictions. You must create an endpoint before you can deploy a model to it.
## Safety & Confirmation Tiers (CRITICAL)
Before executing any commands on behalf of the user, you MUST adhere to the
following safety tiers based on the action requested:
1. **Tier R: Read-only (`list`, `describe`, `get`)**
* No confirmation needed. Execute immediately to gather information.
2. **Tier M: Mutating & Reversible (`create`, `update`)**
* Requires **interactive confirmation** with 'Yes'/'No' options. The
confirmation prompt MUST contain the exact, literal command string with
all required flags (e.g. `--region=us-central1`, `--display-name="..."`)
— natural-language paraphrases are NOT sufficient.
* **Same-turn restriction**: NEVER execute the command in the same turn as
presenting the confirmation prompt. Stop and wait for the user's reply;
only execute after explicit 'Yes' / approval.
3. **Tier D: Destructive & Irreversible (`delete`)**
* Requires **explicit typed confirmation** (e.g. "I confirm" or "Yes,
delete it"). Ask for confirmation IMMEDIATELY — before any pre-flight
checks (don't `describe` first, don't check if the endpoint is empty
first).
* **Same-turn restriction**: NEVER execute in the same turn as asking for
typed confirmation. Wait for the user to reply in a new turn.
## Phase 0: Environment Setup
**CRITICAL**: Before running any commands, you MUST ensure the environment is
correctly initialized by following these steps:
1. **Google Cloud Authentication**: Authenticate with your Google Cloud
credentials and configure active Application Default Credentials (ADC) for
Agent Platform access:
```bash
gcloud auth login
gcloud auth application-default login
```
2. **Set Project**: Configure the active project for subsequent commands:
```bash
gcloud config set project $PROJECT_ID
```
3. **Region**: Always specify `--region=$LOCATION_ID` on each command below. Do
NOT use `global`. Ask the user to specify the region if not provided.
## 1. Listing Endpoints (Tier R)
Use this command to discover existing endpoints in a specific region and
retrieve their IDs. No confirmation is required.
```bash
gcloud ai endpoints list \
--region=$LOCATION_ID
```
*(Optional)* To bound the result, use `--limit=$LIMIT`; `--page-size=$PAGE_SIZE`
controls API chunking only and does NOT limit the total output. Use
`--page-token=$PAGE_TOKEN` to continue from a previous batch.
> [!IMPORTANT]
>
> Always specify the `--region`. Do NOT use 'global'. Ask the user to specify if
> not provided.
## 2. Describing an Endpoint (Tier R)
Retrieve the full metadata for a specific endpoint. No confirmation is required.
```bash
gcloud ai endpoints describe $ENDPOINT_ID \
--region=$LOCATION_ID
```
The models deployed on an endpoint are its `deployedModels` in this output. In
the Python SDK they are `endpoint.gca_resource.deployed_models`;
`aiplatform.Endpoint` has no `deployed_models` attribute.
## 3. Creating an Endpoint (Tier M)
Create a new endpoint resource. The parent resource is the location. **Action
requires an inline confirmation card before proceeding.**
```bash
gcloud ai endpoints create \
--region=$LOCATION_ID \
--display-name="my-endpoint"
```
The command has no `--asynchronous` flag: it waits for the operation and prints
the new endpoint's resource name, whose last segment is the endpoint ID.
> [!IMPORTANT]
>
> **You MUST seek interactive confirmation first.** Your confirmation prompt
> **MUST** show the literal command string. For example:
>
> ```bash
> gcloud ai endpoints create --region=$LOCATION_ID --display-name="my-endpoint"
> ```
>
> Or the exact flags. Do not execute this command in the same turn as proposing
> the confirmation.
## 4. Updating an Endpoint (Tier M)
Update endpoint metadata such as display name or labels. **Action requires an
inline confirmation card before proceeding.**
```bash
gcloud ai endpoints update $ENDPOINT_ID \From google/skills, Apache-2.0.
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Signals
- Stars
- 21,542
- Forks
- 1,821
- Open issues
- 21
- Last commit (this folder)
- Oct 8, 2026 (21 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.1
- License
- Apache-2.0
- Repository
- github.com/google/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
agent-platform-endpoint-management skill. Agent Mart. https://agentmart.dev/skills/google-agent-platform-endpoint-management (last updated 2026-10-24)