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).

Translates English or Japanese tech articles into natural, fluent Chinese while preserving technical terms, product names, and Markdown formatting. Outputs only the Chinese translation without explanations.

Prepares datasets, code, glossed corpora, and sound files for a Language (LSA) manuscript. Covers reproducible quantitative pipelines, Leipzig-glossed fieldwork examples, phonetic scripts, community consent and anonymization ethics, and data-availability statements.

Prepares exhibits for linguistics manuscripts including numbered examples, interlinear glosses, IPA transcription, and quantitative tables. Ensures compliance with Language journal conventions like Leipzig Glossing Rules. Formats syntactic trees and figures for double-anonymous review. Does not generate data but structures existing linguistic evidence.

This tool acts as a personalized mentor for Swedish language learners. It guides users by assessing their CEFR level and recommending curated, skill-specific resources (YouTube clips, podcasts) and a structured learning path for listening, reading, writing, and speaking. It prioritizes authentic, level-appropriate content from trusted sources.

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.