/agent-platform-prompt-management
Manages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform prompts.
$ npx -y skills add google/skills --skill agent-platform-prompt-management --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/agent-platform-prompt-management
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The summary Claude sees to decide when to auto-load this skill.
Manages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform prompts.
SKILL.md
agent-platform-prompt-management.SKILL.mdname: agent-platform-prompt-management
metadata:
category: AiAndMachineLearning
description: >-
Manages and orchestrates prompts in Agent Platform. Use when you need to create,
list, retrieve, version, or delete managed prompts in Agent Platform. Don't use
for model training, model deployment to endpoints, or managing non-Agent Platform
prompts.
Usage Guide
To use this skill effectively:
1. **Generate Code**: Provide the Python snippets below to the user to help them manage prompts in Agent Platform.
2. **No File System Search**: Do not try to find Python files or scripts on the file system for these operations.
Safety & Confirmation Tiers (CRITICAL)
Before executing any commands or scripts on behalf of the user, you must adhere to the following safety tiers based on the action requested, to prevent accidental mutation or permanent deletion of prompt resources:
1. **Tier R: Read-only (`list`, `get`)**
- No confirmation needed. Execute immediately to gather information.
2. **Tier M: Mutating & Reversible (`create`)**
- Requires **interactive confirmation** with 'Yes'/'No' options before
executing prompt creation, to prevent unintended resource proliferation or misconfiguration. The confirmation prompt must clearly explain the proposed prompt creation and its key parameters (e.g., display name, template text, target model). Natural-language paraphrases without specifying the parameters are not sufficient.
- **Same-turn restriction**: Do not execute the creation code in the same
turn as presenting the confirmation prompt. Stop and wait for the user's reply; only execute after explicit 'Yes' / approval.
- **Gold Standard Example**:
> I will create a prompt in Agent Platform with the following > parameters. Please confirm this information before I proceed: > > * **Display Name**: `Customer Support Greeting` > * **Target Model**: `gemini-2.5-pro` > * **Template Text**: "Hello {{user_name}}, how can I help..." > > Do you confirm? [Yes/No]
3. **Tier D: Destructive & Irreversible (`delete`)**
- Requires **explicit typed confirmation** (e.g. "I confirm" or "Yes,
delete it") before executing prompt deletion, to prevent accidental permanent loss of production prompt assets. Ask for confirmation before any pre-flight checks.
- **Same-turn restriction**: NEVER execute in the same turn as asking for
typed confirmation. Wait for the user to reply in a new turn.
- **Gold Standard Example**:
> I will permanently delete the following prompt from Agent Platform. > This action is irreversible. Please explicitly type your confirmation > (e.g., "I confirm") before I proceed: > > * **Prompt ID**: `prompt_12345abc` > * **Display Name**: `Legacy Outdated Prompt` > > Please type your confirmation to proceed.
Phase 0: Environment Setup
**CRITICAL**: Before the user runs any of the Python snippets below, you MUST advise them to ensure the environment is correctly initialized by following these steps:
1. **Google Cloud Authentication**: Authenticate with your Google Cloud account and configure active Application Default Credentials (ADC) for Agent Platform access:
gcloud auth login
gcloud auth application-default login2. **Python Dependencies**: This skill needs `google-cloud-aiplatform` and `google-genai`. Do **not** create a virtual environment — it starts empty and hides packages the environment already provides, forcing a redundant install. Probe, and install only what is missing:
python3 -c "import vertexai, google.genai" \
|| pip install google-cloud-aiplatform google-genai3. **Execution**: Run Python snippets with a plain `python3`. There is no environment to activate first.
> [!TIP] > > **Placeholder Parameter Replacement:** The Python scripts below use uppercase > string placeholders (like `"PROJECT_ID"`, `"LOCATION_ID"`, and `"PROMPT_ID"`). > You **MUST** dynamically replace these placeholders with the actual Project > ID, Region, and Prompt ID values provided in the user's prompt (or discovered > context) before generating or providing the scripts.
1. Managing Prompts via Agent Platform SDK
The SDK provides a high-level `Prompt` class in the preview module.
Create a Prompt (Tier M)
Use when you need to create a new managed prompt in Agent Platform.
- **Reference**: See [create.md](references/create.md) for detailed
instructions and Python snippets.
List Prompts (Tier R)
import vertexai
from vertexai.preview import prompts
vertexai.init(project="PROJECT_ID", location="LOCATION_ID")
all_prompts = prompts.list()
for p in all_prompts:
print(f"Name: {p.display_name}, ID: {p.prompt_id}")Retrieve and Use a Prompt (Tier R)
import vertexai
from vertexai.preview import prompts
vertexai.init(project="PROJECT_ID", location="LOCATION_ID")
retrieved_prompt = prompts.get(prompt_id="PROMPT_ID")
# Versions are supported: prompts.get(prompt_id="PROMPT_ID", version_id="2")
# Assemble with variables (kwargs must match template variable names)
assembled = retrieved_prompt.assemble_contents(text="The quick brown fox...")
print(assembled)
Delete a Prompt (Tier D)
**CRITICAL**: You must pass the numeric prompt ID (e.g., `"1234567890123456789"`) to `prompts.delete()`. The SDK constructs the full resource path internally using the project and location from `vertexai.init()`.
**Confirmation Required**: As a Tier D (Destructive) operation, the agent MUST pause and request explicit, high-friction typed re-confirmation of the prompt ID from the user before generating or providing the deletion code. The action is irreversible.
> [!IMPORTANT] > > **NEVER p
Read more
name: agent-platform-prompt-management metadata: category: AiAndMachineLearning description: >- Manages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform prompts.
Usage Guide
To use this skill effectively:
1. **Generate Code**: Provide the Python snippets below to the user to help them manage prompts in Agent Platform.
2. **No File System Search**: Do not try to find Python files or scripts on the file system for these operations.
Safety & Confirmation Tiers (CRITICAL)
Before executing any commands or scripts on behalf of the user, you must adhere to the following safety tiers based on the action requested, to prevent accidental mutation or permanent deletion of prompt resources:
1. **Tier R: Read-only (`list`, `get`)**
- No confirmation needed. Execute immediately to gather information.
2. **Tier M: Mutating & Reversible (`create`)**
- Requires **interactive confirmation** with 'Yes'/'No' options before
executing prompt creation, to prevent unintended resource proliferation or misconfiguration. The confirmation prompt must clearly explain the proposed prompt creation and its key parameters (e.g., display name, template text, target model). Natural-language paraphrases without specifying the parameters are not sufficient.
- **Same-turn restriction**: Do not execute the creation code in the same
turn as presenting the confirmation prompt. Stop and wait for the user's reply; only execute after explicit 'Yes' / approval.
- **Gold Standard Example**:
> I will create a prompt in Agent Platform with the following > parameters. Please confirm this information before I proceed: > > * **Display Name**: `Customer Support Greeting` > * **Target Model**: `gemini-2.5-pro` > * **Template Text**: "Hello {{user_name}}, how can I help..." > > Do you confirm? [Yes/No]
3. **Tier D: Destructive & Irreversible (`delete`)**
- Requires **explicit typed confirmation** (e.g. "I confirm" or "Yes,
delete it") before executing prompt deletion, to prevent accidental permanent loss of production prompt assets. Ask for confirmation before any pre-flight checks.
- **Same-turn restriction**: NEVER execute in the same turn as asking for
typed confirmation. Wait for the user to reply in a new turn.
- **Gold Standard Example**:
> I will permanently delete the following prompt from Agent Platform. > This action is irreversible. Please explicitly type your confirmation > (e.g., "I confirm") before I proceed: > > * **Prompt ID**: `prompt_12345abc` > * **Display Name**: `Legacy Outdated Prompt` > > Please type your confirmation to proceed.
Phase 0: Environment Setup
**CRITICAL**: Before the user runs any of the Python snippets below, you MUST advise them to ensure the environment is correctly initialized by following these steps:
1. **Google Cloud Authentication**: Authenticate with your Google Cloud account and configure active Application Default Credentials (ADC) for Agent Platform access:
gcloud auth login
gcloud auth application-default login2. **Python Dependencies**: This skill needs `google-cloud-aiplatform` and `google-genai`. Do **not** create a virtual environment — it starts empty and hides packages the environment already provides, forcing a redundant install. Probe, and install only what is missing:
python3 -c "import vertexai, google.genai" \
|| pip install google-cloud-aiplatform google-genai3. **Execution**: Run Python snippets with a plain `python3`. There is no environment to activate first.
> [!TIP] > > **Placeholder Parameter Replacement:** The Python scripts below use uppercase > string placeholders (like `"PROJECT_ID"`, `"LOCATION_ID"`, and `"PROMPT_ID"`). > You **MUST** dynamically replace these placeholders with the actual Project > ID, Region, and Prompt ID values provided in the user's prompt (or discovered > context) before generating or providing the scripts.
1. Managing Prompts via Agent Platform SDK
The SDK provides a high-level `Prompt` class in the preview module.
Create a Prompt (Tier M)
Use when you need to create a new managed prompt in Agent Platform.
- **Reference**: See [create.md](references/create.md) for detailed
instructions and Python snippets.
List Prompts (Tier R)
import vertexai
from vertexai.preview import prompts
vertexai.init(project="PROJECT_ID", location="LOCATION_ID")
all_prompts = prompts.list()
for p in all_prompts:
print(f"Name: {p.display_name}, ID: {p.prompt_id}")Retrieve and Use a Prompt (Tier R)
import vertexai from vertexai.preview import prompts vertexai.init(project="PROJECT_ID", location="LOCATION_ID") retrieved_prompt = prompts.get(prompt_id="PROMPT_ID") # Versions are supported: prompts.get(prompt_id="PROMPT_ID", version_id="2") # Assemble with variables (kwargs must match template variable names) assembled = retrieved_prompt.assemble_contents(text="The quick brown fox...") print(assembled)
Delete a Prompt (Tier D)
**CRITICAL**: You must pass the numeric prompt ID (e.g., `"1234567890123456789"`) to `prompts.delete()`. The SDK constructs the full resource path internally using the project and location from `vertexai.init()`.
**Confirmation Required**: As a Tier D (Destructive) operation, the agent MUST pause and request explicit, high-friction typed re-confirmation of the prompt ID from the user before generating or providing the deletion code. The action is irreversible.
> [!IMPORTANT] > > **NEVER p
This repository contains Agent Skills for Google products and technologies, including Google Cloud. This repository is under active development.
Repo: google/skills
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