agent-platform-skill-registry
- Repo stars 10,425
- Author updated Live
- Author repo skills
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @google · no license declared
- Token usage
- Lean
- Setup complexity
- Guided setup
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Shell exec
- Env read
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools，默认拥有全部工具权限。
---
name: agent-platform-skill-registry
description: > This skill provides instructions for interacting with the Skill Registry on the Gemini Enterpr…
category: ai
runtime: no special runtime
---
# agent-platform-skill-registry output preview
## PART A: Task fit
- Use case: > This skill provides instructions for interacting with the Skill Registry on the Gemini Enterprise Agent Platform. specific skills, and inspect revision histories. long-running state changes (LROs). runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Core Capabilities / Core Directives / Prerequisites & Authentication” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “> This skill provides instructions for interacting with the Skill Registry on the Gemini Enterprise Agent Platform. specific skills, and inspect revision histories. long-running state changes (LROs). runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “Core Capabilities / Core Directives / Prerequisites & Authentication” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands, read environment variables; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files, run shell commands, read environment variables; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, run shell commands, read environment variables.
Start with a small task and check whether the result follows “Core Capabilities / Core Directives / Prerequisites & Authentication”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: agent-platform-skill-registry
description: > This skill provides instructions for interacting with the Skill Registry on the Gemini Enterpr…
category: ai
source: google/skills
---
# agent-platform-skill-registry
## When to use
- > This skill provides instructions for interacting with the Skill Registry on the Gemini Enterprise Agent Platform. sp…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Core Capabilities / Core Directives / Prerequisites & Authentication” and keep inference separate from source facts.
- read files, write/modify files, run shell commands, read environment variables; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies.The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "agent-platform-skill-registry" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Core Capabilities / Core Directives / Prerequisites & Authentication
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files, run shell commands, read environment variables | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
}Skill Registry
This skill provides instructions for interacting with the Skill Registry on the Gemini Enterprise Agent Platform.
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
Decide Fit First
Design Intent
How To Use It
Boundaries And Review