Manage TextCleaner REPL pipelines via socket server commands.
npx skills add https://github.com/pstuifzand/go-textcleaner --skill textcleaner-repl
Please help me install this Agent Skill. Skill: textcleaner-repl Source: https://github.com/pstuifzand/go-textcleaner/tree/main/.claude/skills/textcleaner-repl Command: npx skills add https://github.com/pstuifzand/go-textcleaner --skill textcleaner-repl
Manually configuring and managing text processing pipelines can be complex and time-consuming, especially when dealing with multiple operations or conditional logic. This Skill simplifies interaction with the TextCleaner REPL, allowing AI to handle the intricate command syntax and pipeline management for you, saving you from manual command-line input.
foreach nodes).Use the textcleaner-repl skill to create a pipeline that converts input text to uppercase, then replaces all occurrences of 'A' with '4'. Set the input to 'Hello AI' and show me the output.
High-intent search queries and answers about installing and using this skill.
Text processing pipelines can be automated by using the textcleaner-repl Skill to orchestrate pipeline creation, set input text, and retrieve output through natural language. Claude handles the command syntax and pipeline management, letting you focus on the transformation logic rather than manual REPL syntax.
Yes, complex text transformation pipelines with nested operations and conditional logic—such as foreach nodes—can be built through the Skill. You describe the pipeline in natural language, and Claude translates it into REPL commands to create and configure the nodes.
Before using textcleaner-repl, you need a built TextCleaner binary, a running headless socket server at the specified path, a REPL-enabled build, and Bash tools to execute commands. The Skill communicates with the socket server to manage pipelines and retrieve results.
You can view the pipeline tree structure, retrieve processed output, and test commands through the Skill. Claude issues commands such as show tree and get output to help you inspect the pipeline state and diagnose issues in your text transformation setup.
A single pipeline can perform multiple text transformations—such as case conversion, whitespace normalization, pattern replacement, and keyword extraction—in sequence. You define the operations in natural language, and the Skill creates the pipeline nodes to execute them.
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