Agent Platform Skill Registry
GoogleOfficialPublished by Google
- Skill
- Meta (authoring, orchestration, planning, memory)
- Agent tooling
- Apache-2.0
- Low risk
- Has scripts
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The agent-platform-skill-registry skill provides a comprehensive interface for interacting with the Gemini Enterprise Agent Platform's skill registry. It enables developers and agents to perform lifecycle management tasks such as creating, updating, and deleting skills, as well as searching for existing capabilities. Additionally, it includes utility functions for scaffolding new skills with standardized directory structures and documentation, ensuring consistency across agent development workflows.
What it does
- Search, list, and inspect revision histories of available agent skills.
- Manage the full lifecycle of skills including uploading, updating, and deletion.
- Monitor the status of long-running operations for state changes.
- Automate the initial scaffolding of new agent skills with standardized structures.
- Validate the local environment to ensure prerequisites are met before operations.
- Provide standardized attribution for CLI and API interactions.
When to use it
- When you need to discover existing skills to integrate into an agent.
- When you are developing a new skill and need to scaffold its structure.
- When you need to register or update a skill in the Gemini Enterprise Agent Platform.
- When you need to monitor the progress of long-running registry operations.
Advantages
- Promotes consistency through standardized directory structures and documentation.
- Simplifies the discovery of existing capabilities within the platform.
- Provides built-in environment validation to prevent execution errors.
- Includes clear guidelines for usage attribution and API interaction.
Usage examples
- “Search for skills related to data processing in the registry.”
- The agent queries the registry and returns a list of relevant skills matching the 'data processing' query.
- “Scaffold a new skill for my agent called 'weather-fetcher'.”
- The agent creates the standard directory structure and a draft SKILL.md file for the new skill.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/google/agent-platform-skill-registry/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip agent-platform-skill-registry.zip -d .agents/skills
Documentation by Google
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 loginEnvironment 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 5Operations
Skill Discovery: query-skills.md
Skill Lifecycle: manage-skills.md
Monitor Operations: monitor-operations.md
Generate Skill: generate-skill.md
Files
- ATTRIBUTION.mdAdded by AutoGineer876 B
- LICENSELicence file added by AutoGineer11.1 KiB
- SKILL.md2.7 KiB
- references/attribution.md1.9 KiB
- references/generate-skill.md2.6 KiB
- references/manage-skills.md2.4 KiB
- references/monitor-operations.md619 B
- references/query-skills.md1.5 KiB
- scripts/requirements.txt83 B
- scripts/skill_registry_ops.pyScript10.8 KiB
- scripts/validate_env.pyScript454 B
references/generate-skill.md
Generate Skill
Description
GenerateSkill automates the initial scaffolding of new agent skills by generating standardized documentation (SKILL.md) and directory structures based on user requirements. Note: This tool serves strictly as a starting point. It generates a foundational draft and requires human intervention to refine the logic, review the architecture, and ensure the final skill meets production-level quality standards.
Use when:
Scaffolding a new agent skill from scratch.
Establishing a standardized directory structure for a new tool.
Drafting a properly formatted
SKILL.mdfor a specific use case.
Don't use when:
Executing an existing skill or performing a general query.
Writing general code outside of a skill directory.
Directory Structure
When generating a new skill, the following standardized architecture should be established:
SKILL.md: The core documentation and instruction set for the skill (Required).references/: Directory for storing heavy external documentation, API specs, or knowledge bases (Optional).scripts/: Directory for executable scripts, helper functions, or setup files (Optional). Offload complex code snippets, deterministic helper functions, or repetitive setup tasks into this directory to keepSKILL.mdlean and focused entirely on high-level instructions and usage patterns.assets/: Directory for static files, templates, or media used by the skill (Optional).
Execution Workflow
To successfully generate and deliver a new skill draft, follow these sequential steps:
Requirement Gathering: Analyze the user's prompt to understand the purpose, inputs, outputs, and constraints of the desired skill.
Drafting: Generate the
SKILL.mdcontent based on the gathered requirements. Ensure the description is concise (under 300 words) and explicitly defines "Use when" and "Don't use when" conditions. Identify and map out necessary optional directories (references/,scripts/,assets/) if applicable, ensuring that any complex or repetitive code logic is offloaded into thescripts/directory.Validation: Automatically parse and validate the drafted
SKILL.mdto ensure strictly valid Markdown formatting (e.g., correct header nesting, closed tags, proper list syntax). Fix any errors before proceeding.Review Request: Present the generated
SKILL.mdand directory structure to the user. Explicitly request their review and manual revision, reiterating that human evaluation is required to finalize the draft for production.
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs a command-line tool, Needs Python
Security
What our scanner noticed· Low risk
- Instructions that use the network
- Scripts that your agent may run
This skill includes scripts that your agent may run. Read them before you use it.
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- Publisher
- Google (Official)
- Source
- google/skills · skills/cloud/agent-platform-skill-registry · commit 2194d3b
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Google or Google.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download agent-platform-skill-registry.zip