Individual skill
excel-multi-sheet-threshold-analysis
统计多Sheet Excel总行数并根据规模选择处理策略,提取特定维度信息进行去重统计,并生成摘要与明细报表。
skills/sn-da-excel-workflow/capability/excel-data-cleaning/duplicate-removal/SKILL.md
Source commit 004a2426fa092097d65ac9233ca0bcb2be793f57
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 6,056
- Repository last updated
- Nov 3, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- ai-assistant Repository topic
- data-analysis Repository topic
- document-processing Repository topic
- office-automation Repository topic
- presentation-slides Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
# Excel_Multi_Sheet_Deduplication
> This sub-skill covers one capability of the Excel workflow. For reading/counting/Parquet optimization, see the parent workflow SKILL.md.
Step1 加载目标数据表,并进行初步的数据预览与结构检查。
```python
import pandas as pd
file_path = 'input_file.xlsx'
target_sheet = 'Sheet1' # 根据实际情况指定 sheet 名称
# 读取数据,header=None 用于处理无表头或非标准表头文件
df = pd.read_excel(file_path, sheet_name=target_sheet, header=None)
print(f"数据形状: {df.shape}")