auto-doc-ai
基于 AST 和 LLM 自动生成 Python 代码文档（Google Style docstring）。 自动分析代码结构，生成符合 Google Style 的 docstring。
Best use case
auto-doc-ai is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
基于 AST 和 LLM 自动生成 Python 代码文档（Google Style docstring）。 自动分析代码结构，生成符合 Google Style 的 docstring。
Teams using auto-doc-ai should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/auto-doc-ai/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How auto-doc-ai Compares
| Feature / Agent | auto-doc-ai | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
基于 AST 和 LLM 自动生成 Python 代码文档（Google Style docstring）。 自动分析代码结构，生成符合 Google Style 的 docstring。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Auto Doc AI — 智能代码文档生成器
自动分析 Python 代码结构，生成符合 Google Style 的 docstring 文档。
## 功能特性
- 🔍 基于 AST 解析代码结构
- 🤖 智能函数/类/方法分析
- 📝 生成 Google Style docstring
- 📁 支持单文件或整个目录批量处理
- 🔄 支持增量更新（跳过已有文档的函数）
## 使用方法
### 为单个文件生成文档
```bash
/generate-docs /path/to/your_script.py
```
### 为整个目录生成文档
```bash
/generate-docs /path/to/src/ --recursive
```
### 强制更新已有文档
```bash
/generate-docs /path/to/src/ --overwrite
```
### 预览模式（不写入文件）
```bash
/generate-docs /path/to/your_script.py --dry-run
```
## 生成的文档格式示例
```python
def process_data(data, threshold=0.5):
"""处理输入数据并返回过滤后的结果。
Args:
data (list): 输入数据列表。
threshold (float, optional): 过滤阈值，默认为 0.5。
Returns:
list: 过滤后的数据列表。
Raises:
ValueError: 如果数据格式无效。
"""
pass
```
## 注意事项
- 仅支持 Python 3.7+ 的文件
- 建议先使用 `--dry-run` 预览生成的文档
- 使用 `--overwrite` 会替换所有现有 docstringRelated Skills
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