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Google Cloud 的 Skills :Announcing Google‘s Official Skills Repository

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Google Cloud 的 Skills :Announcing Google‘s Official Skills Repository

Announcing Google's Official Skills Repository

宣布谷歌官方技能库

入口 https://github.com/google/skills/


As AI models improve, technical practitioners are increasingly turning to agentic AI tools to build with Google Cloud products, from Firebase and the Gemini API, to BigQuery and GKE. But how can you ensure that the model is equipped withaccurate, up-to-date informationabout these technologies?

One way to do this is to plug your AI agent into a grounded, real-time information source. For instance, Google offers a Model Context Protocol (MCP) server for its developer documentation. But heavily using MCP servers can cause a problem called “context bloat,” where huge amounts of context are loaded into the context window, confusing the model and racking up token costs.

We need a way to equip agents with additional, condensed expertise — and we can do this with Agent Skills.

随着AI模型的进步,技术从业者越来越多地转向使用智能AI工具来构建基于Google Cloud产品的解决方案,从Firebase和Gemini API,到BigQuery和GKE。但你如何确保模型具备关于这些技术的准确、最新信息?

一种方法是将你的AI代理接入一个基于现实的实时信息来源。例如,Google为其开发者文档提供了一个模型上下文协议(MCP)服务器。但过度使用MCP服务器可能会导致"上下文膨胀"问题,即大量上下文被加载到上下文窗口中,使模型感到困惑并增加令牌成本。

我们需要一种方法为代理配备额外、浓缩的专业知识——我们可以通过"代理技能"来实现这一点。

Skills are “a simple, open format for giving agents new capabilities and expertise.” Think of a skill as compact, agent-first documentation for a specific technology or task. Skills are written in Markdown and can contain reference files, code snippets, and other assets. Agents load in skill information only as-needed, reducing the risk of context bloat.

技能是一种“简单、开放的格式,用于赋予智能体新的能力和专业知识”。将技能视为针对特定技术或任务的简洁、以智能体优先的文档。技能采用Markdown编写,可包含参考文件、代码片段和其他资源。智能体仅按需加载技能信息,从而降低上下文膨胀的风险。

Today, on Day 1 of Google Cloud Next 2026, we’re excited to announce the launch of Google’s official Agent Skills repository:

github.com/google/skills

This repository is starting off with thirteen skills, focused on Google Cloud technologies:

  • A selection of products:AlloyDB, BigQuery, Cloud Run, Cloud SQL, Firebase, Gemini API, and Google Kubernetes Engine (GKE).

  • Three Well-Architected Pillarskills: Security, Reliability, and Cost Optimization

  • “Recipe” skills for Google Cloud Onboarding, Authentication, and Network Observability.

Usenpx skills installgithub.com/google/skills to install these skills to your agents of choice, including Antigravity, Gemini CLI, and third-party agents.

https://cloud.google.com/blog/topics/developers-practitioners/level-up-your-agents-announcing-googles-official-skills-repository

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