Skill UI

This workflow provides an AI-powered platform for immersive conversation practice. It uses advanced language models (like GPT-4o) and real-time speech APIs to simulate real-life scenarios (e.g., ordering food, navigating). Users receive immediate, detailed feedback on pronunciation (phoneme level), grammar corrections, and vocabulary notes, making it an ideal core module for building language fluency and simulating professional tutoring experiences.

This skill is designed to detect and rewrite text that exhibits common characteristics of AI-generated Chinese writing, such as rigid structures, mechanical connectors, and over-polished phrasing. It helps users 'de-AI' their content by restoring natural human rhythm. Key use cases include reducing AIGC signals in academic papers (for CNKI/VIP checks), and converting the writing tone to specific styles like Zhihu, Xiaohongshu, or literary prose.

A comprehensive, adaptive language tutor designed for K-12 students learning English, Chinese, and other world languages. It focuses on developing all four core skills—reading, writing, listening, and speaking—through immersive, communicative practice. The tutor adapts to the learner's proficiency level, aligns with major global exams (TOEFL, HSK, IELTS), and prioritizes achieving genuine communicative competence over simple memorization, utilizing methods like Communicative Language Teaching (CLT).

This guide details the strict conventions for preparing exhibits in linguistics manuscripts, such as numbered examples, Leipzig-style interlinear glosses, IPA transcriptions, and quantitative data tables. It ensures that academic papers maintain high standards of clarity and rigor for publication, covering everything from morpheme alignment to effective figure alt text.

This skill guides authors on whether their linguistics research is broad enough for Language (LSA's flagship journal). It checks for a clearly stated, generalizable claim backed by rigorous, cross-linguistic data, and adherence to high academic standards, ensuring the work transcends a single subfield.