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omarshahine
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natural-language

Analyze natural language text with tokenization, POS tagging, NER, sentiment, and translation.

155|22|Updated Feb 24, 2026
Search Tags:#translation#swift#ios#nlp#text analysis#natural language processing
One-click install
npx skills add https://github.com/omarshahine/HomeClaw --skill natural-language-omarshahine
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: natural-language
Source: https://github.com/omarshahine/HomeClaw/tree/main/.agents/skills/natural-language
Command: npx skills add https://github.com/omarshahine/HomeClaw --skill natural-language-omarshahine

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you process and understand text by breaking it down into its fundamental components, identifying its language, and even translating it.

Core Features & Use Cases

  • Tokenization: Break text into words, sentences, or paragraphs.
  • Language Identification: Detect the language of any given text.
  • Named Entity Recognition: Identify people, places, and organizations within text.
  • Sentiment Analysis: Gauge the emotional tone of text.
  • Translation: Translate text between various languages.
  • Use Case: Analyze customer feedback to understand sentiment, identify key entities, and translate reviews from different regions.

Quick Start

Use the natural-language skill to identify the language of the following text: "This is a sample sentence."

Frequently Asked Questions about natural-language

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

FAQPage Schema
How do I perform sentiment analysis and named entity recognition in Swift?▼

You can perform sentiment analysis and named entity recognition in Swift using this Skill. It identifies people, places, organizations, and gauges emotional tone by analyzing natural language text directly on Apple platforms.

What is the best way to translate text between languages in an iOS app?▼

The best way to translate text between languages in an iOS app is using this Skill. It leverages the Translation framework to convert text between various languages natively on iOS 26+ and Swift 6.2.

How do I tokenize text into words and sentences using NLP?▼

To tokenize text into words and sentences using NLP, this Skill breaks text down into its fundamental components. It processes natural language text to separate it into words, sentences, or paragraphs for further analysis.

Can I detect the language of user input with Swift 6.2?▼

Yes, you can detect the language of user input with Swift 6.2 using this Skill. It provides language identification capabilities to automatically detect the language of any given text string.

Does the natural-language Skill work with iOS 26?▼

Yes, the natural-language Skill works with iOS 26. It targets Swift 6.2 and iOS 26+, utilizing Apple's natural language processing and translation frameworks for text analysis.

How do I analyze customer feedback for sentiment and entities in Swift?▼

To analyze customer feedback for sentiment and entities in Swift, use this Skill. It gauges emotional tone, identifies key named entities, and can translate reviews from different regions.

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