← 返回 Skill 列表

extension

分类: 开发与工程无需 API Key

example-data-processor

处理CSV数据文件，包括清洗、转换和分析。当用户需要处理CSV文件、清理数据或执行基本数据分析任务时使用。

Example Data Processor

This skill demonstrates a complete skill structure with scripts, references, and proper documentation.

What This Skill Does

Processes CSV data files with these capabilities:

Clean and validate data
Transform columns
Generate summary statistics
Export results

Usage

Process a CSV file

To process a CSV file:

Process the data in myfile.csv

The skill will:

Read the CSV file
Clean the data (remove nulls, fix formats)
Generate statistics
Output a summary report

Custom Processing

For custom processing options:

Process sales.csv and group by region

Scripts

scripts/process_csv.py - Main data processing script

Reads CSV files
Applies transformations
Generates output

scripts/fetch_data.py - API data fetcher (demonstrates uv dependencies)

Fetches data from APIs using requests
Beautiful output formatting with rich
Auto-installs dependencies via uv inline metadata (PEP 723)
No manual pip install needed!

scripts/validate.py - Data validation script

Checks data quality
Reports issues

Configuration

The scripts use these environment variables:

OUTPUT_DIR - Where to save processed files (optional)
MAX_ROWS - Maximum rows to process (optional)

Set them using:

Set OUTPUT_DIR to /path/to/output

Reference Documentation

For detailed information:

Data Formats - Supported data formats and schemas
Examples - Common usage examples

Troubleshooting

"File not found" error:

Ensure the CSV file exists
Provide the full path to the file

"Invalid data" error:

Check the CSV format matches expected schema
See Data Formats for requirements