v9_MarkFieldCheck
OfficialAutomate the checking and addition of quality identifier fields in structured data files.
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of checking for and adding quality identifier fields in structured data files, saving time and reducing manual errors.
Core Features & Use Cases
- Field Check and Addition: Checks for the presence of a specified quality identifier field in structured data files and adds it if it's missing.
- Supported Formats: Compatible with CSV, TSV, Excel, and SPSS file formats.
- Use Case: Ideal for data processing workflows that require quality control and data consistency, such as quality checks in scientific research or data analysis tasks.
Quick Start
To add a quality identifier field to your CSV file, use the 'v9_MarkFieldCheck' skill with the following command: python scripts/v9_MarkFieldCheck.py --input_path path_to_input.csv --output_path path_to_output.csv
Dependency Matrix
Required Modules
pandaschardet
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: v9_MarkFieldCheck Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#v9-markfieldcheck Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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