Analyzes and transforms text data with word counting, character statistics, and batch processing capabilities.
The Sample Text Processor is a comprehensive reference skill designed for the Claude Skills ecosystem to streamline text manipulation and analysis tasks. It provides developers with tools for detailed word count profiling, character analysis, and automated text transformations across single files or entire directories. By generating outputs in both human-readable and structured JSON formats, it serves as a versatile utility for content auditing and data preparation while providing a standard blueprint for BASIC tier skill implementation.
Key Features
01Comprehensive word and character frequency analysis
02Efficient batch processing for entire directories of text files
03Automated text transformations including case conversion
04Lightweight architecture using only the Python Standard Library
0550 GitHub stars
06Dual-format output supporting both human-readable Text and JSON
Use Cases
01Generating statistical summaries and metadata for large document sets
02Preparing structured JSON data from raw text for automated analysis pipelines
03Standardizing text formatting and case styles across project files
