Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Offers a quick reference and code examples for building agents with Google's Agent Development Kit. Covers agent definitions, tool implementation, callbacks, state management, orchestration, the graph Workflow API, and reference recipes.
Covers deployment of agents to Agent Runtime, Cloud Run, and GKE, including Agent Gateway binding. Provides workflows for CI/CD, secrets, service accounts, rollback, and troubleshooting across frameworks supported by agents-cli, including ADK and LangChain.
Covers Agent Platform evaluation methodology and the Quality Flywheel for any agents-cli project. Provides guidance on evaluation metrics, dataset schemas, LLM-as-judge scoring, failure analysis, result comparison, and agent optimization.
Guides monitoring and debugging of deployed agents, including ADK agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, and integrations with tools such as AgentOps, Phoenix, and MLflow.
Provides an entry point for creating and developing agents with agents-cli and the Agent Development Kit. Covers local execution, debugging, testing, evaluation, deployment, publishing, and monitoring.
Guides agents-cli publishing to Gemini Enterprise through ADK and A2A registration modes. Covers interactive and programmatic use, flags, deployment metadata detection, registry fleet management, MCP server registration, and troubleshooting.
Covers agents-cli scaffold create, enhance, and upgrade commands for agent projects. Guides template selection, deployment targets, CI/CD additions, and a prototype-first workflow for starting or updating projects.
Provides an entry point for ADK and other agent development workflows. Covers scaffolding, local execution, debugging, evaluation, deployment, publishing, and observability, alongside code preservation rules, model selection, and troubleshooting.
Reviews website metrics and identifies traffic and user behavior patterns in Google Analytics. Uses conversion and performance data to recommend improvements.
Enables the Analytics Admin API and programmatically manages Google Analytics account and property settings. Covers data streams, custom dimensions, conversion events, retention, Measurement Protocol secrets, and Firebase or Google Ads links.
Enables the Analytics Data API and queries reporting metrics and dimensions for Google Analytics properties. Supports customized reports and compatibility checks, excluding account administration and frontend tracking installation.
Creates custom menus, triggers, dialogs, sidebars, email batches, PDF exports, and external API integrations. Supports scheduled workflows and actions driven by sheet edits, form submissions, email, or webhooks.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name