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Google 推出 Gemini 技能来自动执行重复提示

Google 宣布 Gemini 聊天现在将支持“技能”,该功能可以让用户保存和重复使用自定义指令,取代旧的“Gems”工具。

4 min readRead the primary source
Source-provided image accompanying Google rolls out Gemini Skills to automate repetitive prompts
主要来源文件来源记录
出版商
blog.google
来源链接
blog.googlehttps://blog.google/products-and-platforms/products/gemini/automate-tasks-with-skills/
来源类型
主要文件——我们直接阅读的官方公告、文件、文件或第一方页面。
背景60 秒内了解这一点

从这里开始

关键术语

API(应用程序编程接口)
一种软件系统向另一个系统发送请求并接收响应的结构化方式。
Prompt Engineering
设计提示以提高输出质量、可靠性和可控性。
特征
模型用来进行预测的输入变量。
测试一下自己什么是人工智能?测验

发生了什么

Google is launching a new called Skills in Gemini chat. Skills let users save frequently used prompts as reusable commands that can be invoked with a forward slash (/) and the skill name. The feature is live globally for Gemini Spark users and will be extended to Google Workspace customers in the coming weeks. Skills can combine multiple instructions, include reference files such as PDFs or images, and will inherit capabilities previously offered by Gems, such as sharing and Drive integration. Google will automatically migrate existing Gems into Skills and will discontinue Gems for personal accounts in November, for Workspace business, enterprise, and nonprofit customers in March 2027, and for education customers in June 2027. The related Opal 2 mini‑app experiment will also be retired at the same time.

Google announced that Skills are now available in Gemini Spark and will be rolled out to Google Workspace customers in the coming weeks. Users can create a skill by saving a prompt and later invoke it with a simple '/' command.

Skills can be combined, allowing users to apply multiple instructions—such as a writing style and brand guidelines—simultaneously. They also support attaching reference files like plain‑text documents, PDFs, or images, extending Gemini’s ability to work with external content.

Google will automatically migrate existing Gems into Skills, and will discontinue support for Gems starting November for personal accounts, March 2027 for business, enterprise, and nonprofit accounts, and June 2027 for education accounts. The Opal 2 mini‑app experiment will be retired at the same time.

来源详情: blog.google ↗

为什么这很重要

The introduction of Skills turns Gemini chat into a more practical productivity tool by reducing the need for repetitive prompting, which can speed up routine content creation, data extraction, and brand‑compliant writing. By allowing reference files and the stacking of multiple skills, the expands Gemini’s utility beyond simple chat, enabling more complex, repeatable workflows that can be shared across teams. This shift also signals Google’s broader strategy to embed AI capabilities directly into its Workspace suite, potentially increasing adoption among enterprise and education users. However, the phased retirement of Gems and the Opal 2 experiment means existing users must transition their custom automations, and the exact pricing or licensing terms for Skills in Workspace environments have not been disclosed.

By reducing repetitive prompting, Skills can improve productivity for individuals and teams that rely on Gemini for drafting, summarizing, or generating on‑brand content.

The ability to attach reference files and stack skills expands Gemini’s functional scope, making it more suitable for complex tasks that previously required manual .

The phased retirement of Gems forces users to adopt the new workflow, which may drive higher engagement with Gemini’s AI capabilities across Google’s enterprise ecosystem.

Interactive Mechanism

互动机制:它实际上是如何运作的

以交互方式探索这一发展背后的基础技术。

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
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接下来看什么

Future updates on the pricing model for Skills in Workspace, the timeline for full parity with Gems, and any performance metrics Google releases about user adoption. Watch for developer documentation that may enable third‑party integrations or custom skill marketplaces, as well as any feedback from early adopters about workflow efficiency gains or limitations.

Pricing and licensing details for Skills within Google Workspace, especially for enterprise and education customers.

Potential release of an API or marketplace that would let developers publish and monetize custom Skills.

User adoption metrics and feedback that could indicate whether Skills achieve the intended efficiency gains.

Any further integration of Skills with other Google AI products, such as Search or Docs, which would broaden the impact of the .

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