google-gemma/gemma-skills

最近记录的来源活动: 2026年10月18日 03:18

SkillsMP 收录数据更新: 2026年10月26日 11:37

已收集 skills: 2

GitHub 星标: 1,031
GitHub Forks: 85

用 AI 助手安装

复制这段 Prompt，发给你正在使用的 AI 助手。

Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/google-gemma/gemma-skills.

仓库 README

仓库 README 来源：README.md

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# gemma-skills Skills for the Gemma and model/agent interactions ## Skills in this repo | Skill | Description | | :--- | :--- | | [`gemma-dev`](skills/gemma-dev) | Skill for building application with Gemma or for general knowledge inquiries related to Gemma models | | [`gemma-trainer`](skills/gemma-trainer) | Skill for training, fine-tuning, or adapt Gemma models (e.g. SFT, DPO. RLHF, Reward Modeling) on local hardware | ## Installation You can install these skills across your preferred AI coding assistants and package managers: ### Using [Vercel skills CLI](https://skills.sh) ```sh # Interactively browse and install skills. npx skills add google-gemma/gemma-skills --list # Install a specific skill (e.g., gemma-dev). npx skills add google-gemma/gemma-skills --skill gemma-dev ``` ### Antigravity Install through the AGY CLI: ```sh # Install it directly agy plugin install https://github.com/google-gemma/gemma-skills ``` ## Disclaimer This is not an officially supported Google product. This project is not eligible for the [Google Open Source Software Vulnerability Rewards Program](https://bughunters.google.com/open-source-security).

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这个仓库中的 skills

软件开发工程师

1 个职业分类 · 已分类 50%

skill

职业分类

描述

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gemma-dev

未分类

Trigger this skill when building applications with Gemma or for general knowledge inquiries related to Gemma models (e.g. prompt structure, capabilities). Covers model selection, development workflows, and deployment best practices.

原文语言：英语

2026-10-18

gemma-trainer

软件开发工程师

Trigger this skill when the user wants to train, fine-tune, or adapt Gemma models (e.g. SFT, DPO, RLHF, Reward Modeling) on local hardware. Covers TRL, Unsloth, dataset preparation, validation, and GGUF/LiteRT conversion.

原文语言：英语

2026-07-31

已展示 2 / 2 个已收集 Skill。