Individual skill
excel-conditional-filtering-optimization
根据多维数值条件筛选 Excel 数据并导出结果,支持大规模数据的自动性能优化处理。
skills/sn-da-excel-workflow/capability/excel-data-filtering/range-filtering/SKILL.md
Source commit 95db9cf340f0efad2945c3b79f4fc7d7a5d474fd
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 2, 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)
- 6,049
- 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_Conditional_Filtering_Optimization
> **Note**: This sub-skill covers one step of the Excel analysis workflow. For the full pipeline (file reading, row counting, large-file optimization, export), see the parent workflow SKILL.md.
Step1 读取 Excel 文件中所有工作表的数据,统计各表行数并汇总,用于评估数据规模。
```python
import pandas as pd
file_path = "input_data.xlsx"
# 读取所有 sheet,统计行数
xls = pd.ExcelFile(file_path)
print("Sheet names:", xls.sheet_names)