Can I process data line-by-line?

Yes, by using the 'foreach' node type, you can apply specific operations to each individual line of text rather than the entire input at once.

How do I save the pipelines I create?

You can use the 'export' command within the REPL to generate a JSON representation of your pipeline, which can be saved and later re-imported.

Can I use this for complex conditional logic?

Yes, the skill supports 'if' node types, allowing for conditional branching within your text processing tree based on specific patterns.

Does this skill require external software?

Yes, you must have go-textcleaner installed and have the socket server running in headless mode (using the --socket flag) for the skill to function.

What is the TextCleaner REPL skill?

It is a specialized capability for Claude Code that allows the AI to interact with the go-textcleaner socket server to create, manage, and execute text transformation pipelines.

TextCleaner Pipeline Manager

Name: TextCleaner Pipeline Manager
Author: pstuifzand

bypstuifzand

데이터 과학 및 ML

Manages and automates complex text transformation pipelines via the TextCleaner REPL interface.

소개

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.

주요 기능

0 GitHub stars
Hierarchical tree operations including nesting, indentation, and node movement
Real-time pipeline testing with immediate input/output feedback
Specialized 'foreach' nodes for granular line-by-line data processing
Interactive node management for building multi-step text transformation pipelines
JSON-based pipeline portability with full import and export support

사용 사례

Automating repetitive text formatting tasks through reusable pipeline structures
Cleaning and normalizing large datasets using chained text operations
Prototyping data extraction and transformation logic for Go-based applications

소개

주요 기능

0 GitHub stars
Hierarchical tree operations including nesting, indentation, and node movement
Real-time pipeline testing with immediate input/output feedback
Specialized 'foreach' nodes for granular line-by-line data processing
Interactive node management for building multi-step text transformation pipelines
JSON-based pipeline portability with full import and export support

사용 사례

Automating repetitive text formatting tasks through reusable pipeline structures
Cleaning and normalizing large datasets using chained text operations
Prototyping data extraction and transformation logic for Go-based applications