Manages and automates complex text transformation pipelines via the TextCleaner REPL interface.
The TextCleaner REPL skill enables Claude to interface with the go-textcleaner socket server, providing a powerful environment for building and testing text processing pipelines. It allows for the creation of sophisticated transformation trees using various node types like operations, foreach loops, and conditional logic. This skill is particularly useful for developers and data scientists who need to normalize data, batch-process text, or prototype complex string manipulation workflows using natural language commands within the Claude Code environment.
Key Features
010 GitHub stars
02Hierarchical tree operations including nesting, indentation, and node movement
03Real-time pipeline testing with immediate input/output feedback
04Specialized 'foreach' nodes for granular line-by-line data processing
05Interactive node management for building multi-step text transformation pipelines
06JSON-based pipeline portability with full import and export support
Use Cases
01Automating repetitive text formatting tasks through reusable pipeline structures
02Cleaning and normalizing large datasets using chained text operations
03Prototyping data extraction and transformation logic for Go-based applications
