agent-platform-skill-registry
About agent-platform-skill-registry
A skill for operating the Skill Registry on Gemini Enterprise Agent Platform. It covers discovering skills, managing their lifecycle, monitoring long-running operations, and generating local skill scaffolds.
Key features
- 01Search, list, and inspect skills
- 02Upload, update, or delete skills
- 03Check long-running operation status
- 04Scaffold new skills locally
- 05Validate environment before operations
Use cases
- 01Finding skills in the registry
- 02Reviewing a skill's revisions
- 03Managing skill registry entries
- 04Generating a local skill scaffold
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ google/ skills --skill agent-platform-skill-registryAfter installing, type/agent-platform-skill-registryin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
references/attribution.mdgenerate-skill.mdmanage-skills.mdmonitor-operations.mdquery-skills.mdscripts/requirements.txtskill_registry_ops.pyvalidate_env.pyDetails
From the project READMESkill 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
- Skill Discovery: query-skills.md
- Skill Lifecycle: manage-skills.md
- Monitor Operations: monitor-operations.md
- Generate Skill: generate-skill.md