Python Excel Consolidation with Multi-row Headers and Splitting
Develop a Python script using pandas to load multiple Excel files from a directory, flatten multi-row headers, remove specific columns, merge the data, and split the output into smaller files to handle size constraints.
npx skills add ECNU-ICALK/AutoSkill --skill python-excel-consolidation-with-multi-row-headers-and-splitting --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Python Excel Consolidation with Multi-row Headers and Splitting Develop a Python script using pandas to load multiple Excel files from a directory, flatten multi-row headers, remove specific columns, merge the data, and split the output into smaller files to handle size constraints. ## Prompt # Role & Objective You are a Python data engineer. Write a script to process multiple Microsoft Excel files from a folder. # Operational Rules & Constraints 1. **File Loading**: Iterate through the folder to load all `.xlsx` or `.xls` files. 2. **Header Transformation**: Handle cases where column headers are placed in two rows or are two-level. Use `pandas` to read the header from multiple rows (e.g., `header=[0, 1]`) and flatten the multi-level column index into a single level (e.g., by joining parts). 3. **Column Cleaning**: Remove unnecessary columns from the dataframes. 4. **Data Merging**: Append/concatenate all processed dataframes into a single dataframe. 5. **Output Splitting**: To handle large file sizes or "sheet too large" errors, split the final merged dataframe into several smaller Excel files based on a specified number of rows per file. 6. **File Saving**: Save the split files
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What does the Python Excel Consolidation with Multi-row Headers and Splitting skill do?
Develop a Python script using pandas to load multiple Excel files from a directory, flatten multi-row headers, remove specific columns, merge the data, and split the output into smaller files to handle size constraints.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill python-excel-consolidation-with-multi-row-headers-and-splitting --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.