Downloads contain the instructions shown here. Use the install command for the complete skill.

Skill Registry

This skill provides instructions for interacting with the Skill Registry on the Gemini Enterprise Agent Platform.

Attribution

MUST READ: Before executing any gcloud, REST API, or MCP command, you MUST read Usage Attribution. For commands executed directly in the terminal (never in generated scripts, Terraform, or user code), prefix gcloud with CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:agent-platform-skill-registry)" and append agent-skills/1.0 (skill:agent-platform-skill-registry) to User-Agent headers.

Core Capabilities

Skill Discovery - Query the registry to easily search, list, get specific skills, and inspect revision histories.
Skill Lifecycle Management - Upload, update, or permanently delete skills.
Operation Monitoring - Utility to check the completion status of long-running state changes (LROs).
Generate Skill - Automate the initial scaffolding of new agent skills locally.

Core Directives

Mandatory Validation: ALWAYS execute the environment validation check before performing any operations.

Before any operation, you must validate the core environment.
```
# Execute the validation script
python3 scripts/validate_env.py
```

Prerequisites & Authentication

Library & Authentication

Ensure you have the latest Google Cloud credentials and libraries installed.

# Install required libraries
pip install google-auth requests

# Authenticate with Google Cloud
gcloud auth application-default login

Environment Variables

The following variables are required for operations:

GCP_PROJECT_ID: Your Google Cloud Project ID.
GCP_LOCATION: The region (e.g., us-central1).

Quickstart

Quickly search for available skills in the registry:

python3 scripts/skill_registry_ops.py search \
  --query "test skill" \
  --top-k 5

Operations

--- name: agent-platform-skill-registry metadata: version: "1.0.1" category: AiAndMachineLearning description: > Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills. Use this skill to enable agents to register functionality or discover new capabilities. --- # Skill Registry This skill provides instructions for interacting with the **Skill Registry** on the Gemini Enterprise Agent Platform. ## Attribution **MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you MUST read [Usage Attribution](references/attribution.md). For commands executed directly in the terminal (never in generated scripts, Terraform, or user code), prefix `gcloud` with `CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:agent-platform-skill-registry)"` and append `agent-skills/1.0 (skill:agent-platform-skill-registry)` to `User-Agent` headers. ## Core Capabilities - **Skill Discovery** - Query the registry to easily search, list, get specific skills, and inspect revision histories. - **Skill Lifecycle Management** - Upload, update, or permanently delete skills. - **Operation Monitoring** - Utility to check the completion status of long-running state changes (LROs). - **Generate Skill** - Automate the initial scaffolding of new agent skills locally. ## Core Directives - **Mandatory Validation**: ALWAYS execute the environment validation check before performing any operations. Before any operation, you **must** validate the core environment. ```bash # Execute the validation script python3 scripts/validate_env.py ``` ## Prerequisites & Authentication ### Library & Authentication Ensure you have the latest Google Cloud credentials and libraries installed. ```bash # Install required libraries pip install google-auth requests # Authenticate with Google Cloud gcloud auth application-default login ``` ### Environment Variables The following variables are required for operations: - `GCP_PROJECT_ID`: Your Google Cloud Project ID. - `GCP_LOCATION`: The region (e.g., `us-central1`). -------------------------------------------------------------------------------- ## Quickstart Quickly search for available skills in the registry: ```bash python3 scripts/skill_registry_ops.py search \ --query "test skill" \ --top-k 5 ``` -------------------------------------------------------------------------------- ## Operations - **Skill Discovery**: [query-skills.md](references/query-skills.md) - **Skill Lifecycle**: [manage-skills.md](references/manage-skills.md) - **Monitor Operations**: [monitor-operations.md](references/monitor-operations.md) - **Generate Skill**: [generate-skill.md](references/generate-skill.md)

Instructions