directory-management

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Directory Management

目录管理

Project Setup

项目设置

Before any work begins, resolve the project name:

If the project name is already known from conversation context, use it.
Otherwise, scan for existing
```
*/PLAN.md
```
files in the current directory. If found, ask the user if they are resuming an existing project and load that
```
PLAN.md
```
into context.
If no existing projects are found, recommend a ≤64-char lowercase slug based on what you know from the conversation (only
```
[a-z0-9-]
```
), or ask directly if there isn't enough context. Present the recommended name and wait for user confirmation.

Once project name is resolved:

Create and/or use the
```
<experiment-name>/
```
directory using the confirmed name for storing all the artifacts

在开展任何工作前，先确定项目名称：

如果对话上下文中已经明确了项目名称，直接使用即可。
否则，扫描当前目录下已有的
```
*/PLAN.md
```
文件。如果找到该文件，询问用户是否要恢复现有项目，并将对应
```
PLAN.md
```
加载到上下文当中。
如果没有找到现有项目，根据你从对话中获取的信息推荐一个长度不超过64字符的小写slug（仅允许包含
```
[a-z0-9-]
```
字符）；如果上下文信息不足则直接询问用户。给出推荐名称后等待用户确认。

确定项目名称后：

以确认的名称创建并使用
```
<experiment-name>/
```
目录，用于存储所有项目工件

Directory Structure

目录结构

When working with the agent, all generated files are organized under an project directory.

<project-name>/
├── specs/  
│   ├── PLAN.md             # Your customization plan
├── scripts/                # Generated Python scripts
│   ├── <project-name>_transform_fn.py
└── notebooks/              # Generated Jupyter notebooks
    ├── <project-name>_training.ipynb

使用Agent工作时，所有生成的文件都会统一归档在项目目录下。

<project-name>/
├── specs/  
│   ├── PLAN.md             # Your customization plan
├── scripts/                # Generated Python scripts
│   ├── <project-name>_transform_fn.py
└── notebooks/              # Generated Jupyter notebooks
    ├── <project-name>_training.ipynb