launder

Remove typographic artifacts and normalize punctuation from text.

6|1|Updated Jun 23, 2026
One-click install
npx skills add https://github.com/JGalego/Bag-of-Tricks --skill launder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: launder
Source: https://github.com/JGalego/Bag-of-Tricks/tree/main/launder
Command: npx skills add https://github.com/JGalego/Bag-of-Tricks --skill launder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill removes typographic artifacts from text, ensuring that machine-generated content appears more human-like without altering the original meaning.

Core Features & Use Cases

  • Typography Cleanup: Eliminates zero-width spaces, smart quotes, and other non-visible characters.
  • Normalization: Converts em-dashes to double hyphens, en-dashes to single hyphens, and normalizes ellipses and spaces.
  • Use Case: Before sharing text with strict formatting requirements, use this Skill to remove any machine-generated artifacts that could cause issues.

Quick Start

Run the 'launder' skill on your text to remove machine-generated artifacts and ensure it appears clean and human-readable.

Frequently Asked Questions about launder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I remove typographic artifacts from AI-generated text?

Text cleaning for AI-generated content removes machine fingerprints like zero-width spaces and smart quotes. It normalizes em-dashes to double hyphens and ellipses, ensuring the output maintains human readability without altering the original meaning.

Does text cleaning alter the original content of my documents?

Text cleaning does not alter the original content of your documents. It strictly removes typographic anomalies and formatting artifacts, focusing on typography normalization to enhance readability without changing the underlying meaning or message.

How do I normalize smart quotes and em-dashes in a text preprocessing pipeline?

To normalize smart quotes and em-dashes in a text preprocessing pipeline, execute a script via command-line flags. This converts em-dashes to double hyphens, en-dashes to single hyphens, and normalizes ellipses and spaces automatically.

Do I need Python to run text cleaning and typography normalization?

You need Python installed to execute this text cleaning and typography normalization script. It runs via command-line flags and integrates directly into your existing text preprocessing pipelines for seamless artifact removal.

When should I use typography normalization for AI-generated content?

You should use typography normalization for AI-generated content before sharing it with strict formatting requirements. This ensures any machine-generated artifacts that could cause rendering issues are removed, making the text suitable for human consumption.