number_noise_cleaner
OfficialClean text data by removing non-semantic numbers.
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the issue of cleaning text data by removing non-semantic numbers from structured text fields.
Core Features & Use Cases
- Non-Semantic Number Removal: Removes numbers that do not contribute meaning to the text.
- Text Field Cleaning: Cleans specified or all text fields based on user input.
- Use Case: Ideal for cleaning data from text fields in CSV, TSV, Excel, and SPSS files, ensuring that only meaningful information remains.
Quick Start
Run the number_noise_cleaner skill with the following command: number_noise_cleaner --input_path path/to/input.csv --output_path path/to/output.csv
Dependency Matrix
Required Modules
pandas
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: number_noise_cleaner Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#number-noise-cleaner Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 620,000+ vetted skills library on demand.