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new-modular-project新的模块化项目

Agent Skill

new-modular-project 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,844

周安装

291

GitHub Stars

79

下载量

2,398
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:new-modular-project(新的模块化项目)
来源仓库:https://github.com/modular/skills
仓库路径:skills/new-modular-project
安装命令:
npx skills add https://github.com/modular/skills --skill new-modular-project
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/modular/skills --skill new-modular-project

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在需要围绕仓库状态或代码变更进行整理时使用。
  • 可结合原始 README 和安装命令进一步验证具体功能。
  • 安装方式:通过 npx skills add 命令从指定 GitHub 仓库添加。
  • 涉及写入操作时应确认 token 权限和目标仓库范围。

SKILL.md

When the user wants to create a new project, first infer as many options as possible from the user's request (e.g., "new Mojo project" means type=Mojo, "called foo" means name=foo). Then use a structured multiple-choice prompt (not plain text) to gather only the remaining unspecified options in a single interaction. Do NOT ask about options the user has already provided or implied. The options to determine are:

  1. Project name — ask if not specified
  2. Type of project — Mojo or MAX (infer from context if the user said "Mojo project" or "MAX project")
  3. Environment manager — Pixi (recommended) or uv
  4. If uv: UV project type — full uv project (uv init + uv add, recommended) or quick uv environment (uv venv + uv pip install, lighter weight)
  5. Channel — nightly (latest features, recommended) or stable (production)

Then follow the appropriate section below (Pixi or uv) to initialize the project and choose max or mojo as appropriate. For stable versions in the below examples, mojo will start with a 0. prefix (0.26.1.0.0.0) where max packages will not (26.1.0.0.0).

NOTE: Do not look for or use magic for Mojo or MAX projects, it is no longer supported. Pixi has fully replaced its capabilities.


System prerequisites

Mojo requires a C linker for compilation. Install one if not already present:

OSCommand
Ubuntu/Debiansudo apt install gcc
Fedora/RHELsudo dnf install gcc
macOSxcode-select --install
WindowsInstall WSL2 first (see below), then install gcc in WSL

Windows users: Mojo does not run natively on Windows. Install WSL2 (wsl --install in PowerShell), then follow the Linux instructions inside your WSL environment.


Pixi (Recommended)

Pixi manages Python, Mojo, and other dependencies in a reproducible manner inside a controlled environment.

First, determine if pixi is installed. If it is not available for use at the command line, install it using the latest instructions found on https://pixi.prefix.dev/latest/#installation

You may need to place the pixi tool in the local shell environment after installation if it had not already been installed.

Nightly

# New project
pixi init [PROJECT] \
  -c https://conda.modular.com/max-nightly/ -c conda-forge \
  && cd [PROJECT]
pixi add [max / mojo]
pixi shell

# Existing project - add to pixi.toml channels first:
# [workspace]
# channels = ["https://conda.modular.com/max-nightly/", "conda-forge"]
pixi add [max / mojo]

Stable (v26.1.0.0.0)

# New project
pixi init [PROJECT] \
  -c https://conda.modular.com/max/ -c conda-forge \
  && cd [PROJECT]
pixi add "[max / mojo]==0.26.1.0.0.0"
pixi shell

# Existing project
pixi add "[max / mojo]==0.26.1.0.0.0"

Python-using projects

If your project uses Python libraries with Mojo:

pixi add python
pixi add requests           # conda-forge packages
pixi add --pypi some-pkg    # PyPI-only packages

uv

uv is a fast and very popular package manager, familiar to developers coming from a Python background. It also works well with Mojo projects.

Nightly (project)

uv init [PROJECT] && cd [PROJECT]
uv add [max / mojo] \
  --index https://whl.modular.com/nightly/simple/ \
  --prerelease allow

Stable (project)

uv init [PROJECT] && cd [PROJECT]
uv add [max / mojo] \
  --extra-index-url https://modular.gateway.scarf.sh/simple/

Nightly (quick environment)

mkdir [PROJECT] && cd [PROJECT]
uv venv
uv pip install [max / mojo] \
  --index https://whl.modular.com/nightly/simple/ \
  --prerelease allow

Stable (quick environment)

mkdir [PROJECT] && cd [PROJECT]
uv venv
uv pip install [max / mojo] \
  --extra-index-url https://modular.gateway.scarf.sh/simple/

When using uv, you can use max or mojo directly by working within the project environment:

 source .venv/bin/activate

pip

Standard Python package manager.

Nightly

python3 -m venv .venv && source .venv/bin/activate
pip install --pre [max / mojo] \
  --index https://whl.modular.com/nightly/simple/

Stable

python3 -m venv .venv && source .venv/bin/activate
pip install [max / mojo] \
  --extra-index-url https://modular.gateway.scarf.sh/simple/

Conda

For conda/mamba users.

Nightly

conda install -c conda-forge \
  -c https://conda.modular.com/max-nightly/ [max / mojo]

Stable (v26.1.0.0.0)

conda install -c conda-forge \
  -c https://conda.modular.com/max/ "[max / mojo]==0.26.1.0.0.0"

Version Alignment with MAX

If using MAX with custom Mojo kernels, versions must match:

# Check alignment
uv pip show mojo | grep Version   # e.g., 0.26.2
pixi run mojo --version           # Must match major.minor (e.g., 0.26.2)

Mismatched versions cause kernel compilation failures. Always use the same channel (stable or nightly) for both.


References

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.72%
按下载量换算905

Claude

31.17%
按下载量换算747

Cursor

19.11%
按下载量换算458

Gemini CLI

9.67%
按下载量换算232

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/modular/skills --skill new-modular-project 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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