text-manipulation-and-converter

Name: text-manipulation-and-converter
Availability: InStock
Author: AgentPMT

Convert text case, clean whitespace, sort lines, and count characters via API.

Updated Feb 24, 2026

Search Tags:#developer tools #text processing #data cleaning #case conversion #text manipulation #string formatting

Ready to run

npx skills add https://github.com/AgentPMT/agent-skills --skill text-manipulation-and-converter

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: text-manipulation-and-converter
Source: https://github.com/AgentPMT/agent-skills/tree/main/skills/text-manipulation-and-converter
Command: npx skills add https://github.com/AgentPMT/agent-skills --skill text-manipulation-and-converter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines text processing by offering a wide array of tools to clean, format, and convert text data, saving significant manual effort.

Core Features & Use Cases

Case Conversion: Convert text to 11 different formats (camelCase, snake_case, etc.).
Text Formatting: Clean whitespace, wrap text, sort lines, remove duplicates, and more.
Counting: Get line, word, and character counts with detailed statistics.
Use Case: Convert a list of product names from sentence case to SCREAMING_SNAKE_CASE for a codebase.

Quick Start

Use the text-manipulation-and-converter skill to convert the following text to camelCase: "This is a sample text".

Frequently Asked Questions about text-manipulation-and-converter

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

FAQPage Schema

How do I convert text to camelCase or snake_case for data processing?▼

To convert text to camelCase or snake_case for data processing, use a text manipulation tool that offers 11 different case conversion operations. You can programmatically normalize and format strings to match specific codebase requirements or development workflows.

What is the best way to clean whitespace and remove duplicate lines in a text string?▼

The best way to clean whitespace and remove duplicate lines in a text string is by applying text formatting and line operation tools. These operations normalize text data by stripping extra spaces, sorting lines, and deduplicating entries automatically.

Can I get line, word, and character counts with detailed statistics for my text data?▼

Yes, you can get line, word, and character counts with detailed statistics for your text data. Text manipulation tools provide counting operations that deliver comprehensive metrics, helping you analyze and validate string formatting across various datasets.

Does this text manipulation and converter tool require any dependencies?▼

No, this text manipulation and converter tool does not require any dependencies. It provides 23 powerful operations via an external API, allowing you to perform text cleaning, normalization, and formatting without prerequisite environment setup.

When do I need to use text normalization and wrapping operations?▼

You need to use text normalization and wrapping operations when preparing inconsistent text data for development workflows. These operations clean and format strings, ensuring uniform line lengths, proper whitespace handling, and standardized case conversion across datasets.