A lightweight and efficient tool for reading, creating, and editing Excel and CSV files via Python-powered data operations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install simple-excel
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install simple-excel using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Simple Excel?
Simple Excel is a specialized tool within the Openclaw Skills ecosystem designed to simplify spreadsheet management. It leverages the power of Python data libraries to provide a seamless interface for handling .xlsx and .csv formats. Whether you are building an AI agent to process reports or automating recurring data entry, this skill provides the necessary abstraction to interact with tabular data without complex overhead.
By integrating this skill, users can perform high-level data operations such as filtering, mathematical transformations, and multi-sheet management. It bridges the gap between raw data files and actionable insights, making it an essential component for any automated data pipeline developed with Openclaw Skills.
Simple Excel Use Cases
- Automating the generation of weekly financial or performance reports in Excel format.
- Cleaning and filtering large CSV datasets for machine learning or business intelligence.
- Merging data from multiple spreadsheet sources into a single master file.
- Extracting specific sheets or columns from complex workbooks for quick analysis.
- Converting legacy CSV data into modern .xlsx workbooks with custom formatting.
How Simple Excel Works
- The AI agent identifies the target file path and format (.xlsx or .csv) to be processed.
- Openclaw Skills initializes the data environment using optimized Python backends to load the spreadsheet into memory.
- User-defined operations such as filtering, column additions, or grouping are executed on the data structure.
- The processed data is validated for consistency and type accuracy.
- The skill exports the final result to the desired output format, ensuring proper encoding for characters and sheet naming.
Simple Excel Setup
To utilize this skill within your environment, ensure you have the necessary dependencies installed via pip:
pip install pandas openpyxl
Once installed, you can import the processing logic into your Openclaw Skills workflow to start managing Excel files programmatically.
Simple Excel Data Schema & Taxonomy
Simple Excel organizes data using a structured DataFrame approach. Below is the mapping of supported operations and their corresponding metadata handling:
| Feature | Description | Support |
|---|---|---|
| File Formats | Standard Excel (.xlsx) and Comma Separated Values (.csv) | Full |
| Indexing | Optional row indexing during export (toggle via index=False) |
Supported |
| Multi-Sheet | Ability to target specific sheets by name or index | Supported |
| Data Types | Automatic detection of numeric, string, and datetime objects | High |
| Encoding | UTF-8 support for diverse character sets and Chinese symbols | Native |
Simple Excel Advanced Features
- Advanced group-by statistics for rapid data summarization and aggregation.
- Conditional filtering logic to isolate high-value data points automatically.
- Multi-column arithmetic operations for dynamic field generation.
- Seamless integration with larger Openclaw Skills automation chains for end-to-end data processing.
- Optimized handling for large-scale CSV files to minimize memory footprint.
SKILL.md
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