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Found 55 Skills
Expert guidance for working with Hugging Face Transformers library for NLP, computer vision, and multimodal AI tasks.
NLP Cloud integration. Manage data, records, and automate workflows. Use when the user wants to interact with NLP Cloud data.
Use this skill when building NLP pipelines, implementing text classification, semantic search, embeddings, or summarization. Triggers on text preprocessing, tokenization, embeddings, vector search, named entity recognition, sentiment analysis, text classification, summarization, and any task requiring natural language processing.
Expert in Natural Language Processing, designing systems for text classification, NER, translation, and LLM integration using Hugging Face, spaCy, and LangChain. Use when building NLP pipelines, text analysis, or LLM-powered features. Triggers include "NLP", "text classification", "NER", "named entity", "sentiment analysis", "spaCy", "Hugging Face", "transformers".
Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. This skill should be used when fine-tuning pre-trained models, performing inference with pipelines, generating text, training sequence models, or working with BERT, GPT, T5, ViT, and other transformer architectures. Covers model loading, tokenization, training with Trainer API, text generation strategies, and task-specific patterns for classification, NER, QA, summarization, translation, and image tasks. (plugin:scientific-packages@claude-scientific-skills)
Analyze text content using both traditional NLP and LLM-enhanced methods. Extract sentiment, topics, keywords, and insights from various content types including social media posts, articles, reviews, and video content. Use when working with text analysis, sentiment detection, topic modeling, or content optimization.
Text analytics using LLM APIs — sentiment analysis, customer feedback classification, document entity extraction, multi-language support (English/Luganda/Swahili), feedback aggregation, and NLP feature implementation for PHP/Android/iOS. Sources...
NLTK natural language toolkit. Use for NLP.
Execute this skill enables AI assistant to perform natural language processing and text analysis using the nlp-text-analyzer plugin. it should be used when the user requests analysis of text, including sentiment analysis, keyword extraction, topic modeling, or ... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.
A framework for analyzing and solving problems using the NLP Logical Levels model. Use it when you're stuck in a dilemma without a way out, keep going in circles at the same level, or need to make major life decisions. The six levels from lowest to highest are: Environment → Behavior → Capability → BVR (Beliefs/Values/Rules) → Identity → Spirit. Core method: Design your life from the top down, solve problems that can't be resolved at lower dimensions by elevating your perspective. Not applicable to daily operational issues (e.g., how to write an email). Key trigger signals: "What should I do?", "Why do I always encounter the same problem?", "I don't know how to choose.", "I'm confused about my life direction."
Help users replan their lives from the top level of NLP understanding hierarchy; use this when users feel confused, trapped in a daily execution loop, and don't know how to break through the current situation
Write and edit professional content in Hebrew including marketing copy, UX text, articles, emails, and social media posts. Use when user asks to write in Hebrew, "ktov b'ivrit", create Hebrew marketing content, edit Hebrew text, write Hebrew UX copy, or optimize Hebrew content for SEO. Covers grammar rules, register from formal to dugri, mixed Hebrew/English, gendered language, nikud and numerals, and Hebrew SEO best practices. Do NOT use for Hebrew NLP/ML tasks (use hebrew-nlp-toolkit) or translation (use a translation skill).