ljg-read

ljg-read is an AI-powered reading companion designed to guide users through complex texts rather than simply summarize them. It supports books, essays, research papers, news articles, and other long-form writing by combining translation, structural analysis, annotation, and guided questioning into a single reading workflow. The skill focuses on helping readers actively engage with an author’s arguments, assumptions, and conceptual tensions. For English texts, it provides layered Chinese translations based on the principles of faithfulness, expressiveness, and elegance, while preserving important original-language context through bilingual presentation. Instead of replacing the reading process, the skill acts as scaffolding that encourages readers to think critically and develop their own interpretations.

The skill includes multiple reading phases that progressively deepen understanding. It first builds a global structural map of the text, identifying core argumentative paragraphs, supporting evidence, and transitional sections. It then advances paragraph by paragraph with adaptive translation depth depending on the role of each section. Key features include semantic segmentation, bilingual terminology handling, cultural interpretation of English writing conventions, argument structure mapping, Socratic questioning, and cross-domain analogies. Readers can switch between fast-reading and deep-reading modes, pause for expanded discussion, and explore philosophical or conceptual “collision questions” generated from the text. The skill also supports contextual annotations, counterarguments, source tracing, and final review stages including terminology glossaries and follow-up reading directions.

ljg-read is intended for readers who want guided intellectual engagement with difficult or meaningful texts rather than passive summaries. It is especially useful for bilingual readers, students, humanities researchers, philosophy readers, essay enthusiasts, and anyone working through dense academic or cultural material. The skill can support close reading sessions, language-assisted literary study, reflective reading practices, and collaborative exploration of arguments or ideas across disciplines.