simple-excel
简单的 Excel 文件处理工具。用于读取、创建、编辑 .xlsx 和 .csv 文件，适合基本的数据操作任务，如读取数据、简单计算、生成表格等。
Best use case
simple-excel is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
简单的 Excel 文件处理工具。用于读取、创建、编辑 .xlsx 和 .csv 文件，适合基本的数据操作任务，如读取数据、简单计算、生成表格等。
Teams using simple-excel 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/simple-excel/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How simple-excel Compares
| Feature / Agent | simple-excel | 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?
简单的 Excel 文件处理工具。用于读取、创建、编辑 .xlsx 和 .csv 文件，适合基本的数据操作任务，如读取数据、简单计算、生成表格等。
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
# Simple Excel - 简化版 Excel 处理
## 快速开始
### 读取 Excel 文件
```python
import pandas as pd
# 读取 xlsx 或 csv
df = pd.read_excel('file.xlsx')
df = pd.read_csv('file.csv')
# 读取指定sheet
df = pd.read_excel('file.xlsx', sheet_name='Sheet1')
```
### 写入 Excel 文件
```python
import pandas as pd
# 保存为 xlsx
df.to_excel('output.xlsx', index=False)
# 保存为 csv
df.to_csv('output.csv', index=False)
```
### 简单数据处理
```python
import pandas as pd
# 筛选数据
df[df['列名'] > 10]
# 添加新列
df['新列'] = df['列1'] + df['列2']
# 分组统计
df.groupby('类别').sum()
# 排序
df.sort_values('金额', ascending=False)
```
## 常用操作
| 操作 | 代码 |
|------|------|
| 查看前几行 | `df.head()` |
| 查看数据类型 | `df.dtypes` |
| 统计摘要 | `df.describe()` |
| 选择列 | `df[['列A', '列B']]` |
| 筛选行 | `df[df['列'] > 100]` |
| 删除列 | `df.drop('列名', axis=1)` |
| 重命名列 | `df.rename(columns={'旧名': '新名'})` |
| 填充空值 | `df.fillna(0)` |
| 导出指定sheet | `df.to_excel('file.xlsx', sheet_name='新sheet')` |
## 注意事项
- 使用 `index=False` 避免导出索引列
- 中文字符在 Excel 中通常能正常显示
- 大文件建议使用 csv 格式Related Skills
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