Analyzes and transforms text files to provide detailed word statistics, character counts, and case conversions in multiple formats.
The Text Analysis & Transformation skill provides a robust set of utilities for processing text data within the Claude Code ecosystem. It enables developers to extract deep insights from documents, such as word frequency and character analysis, while also offering batch transformation capabilities like case conversion. As a reference implementation for BASIC tier skills, it demonstrates best practices in dual-output formatting—providing both human-readable summaries and structured JSON data. This makes it an ideal tool for generating document metadata, preparing datasets for machine learning, or automating repetitive text formatting tasks across large directories.
主な機能
01Dual output generation in both human-readable text and structured JSON
02Comprehensive word frequency and character statistical analysis
031 GitHub stars
04Batch processing for analyzing or transforming entire directories at once
05Automated text transformations including uppercase, lowercase, and title case
06Zero-dependency implementation using only the Python Standard Library
ユースケース
01Serving as a standardized template for developers building custom Claude Code skills
02Automating consistent text formatting across project documentation and code files
03Generating structured metadata and statistics for large document repositories