Tokenize, tag, and analyze natural language text using Apple's NaturalLanguage framework and translate between languages with the Translation framework. Use…
NaturalLanguage + Translation Analyze natural language text for tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, language identification, and word/sentence embeddings. Translate text between languages with the Translation framework. Targets Swift 6.3 / iOS 26+. This skill covers two related frameworks: NaturalLanguage (NLTokenizer, NLTagger, NLEmbedding) for on-device text analysis, and Translation (TranslationSession, LanguageAvailability) for language translation. Scope boundary: Use this skill after you already have text. It owns tokenization, language identification, POS/NER tagging, sentiment, embeddings, custom NLModel classifiers/taggers, and in-app translation. Hand off OCR to vision-framework, speech-to-text to speech-recognition, UI strings and locale formatting to ios-localization, and generative summarization or Apple Intelligence workflows to apple-on-device-ai. Contents
don't have the plugin yet? install it then click "run inline in claude" again.