Deep Reader

tronghieu/deep-reader

>- Deep-read long books and papers using Mortimer Adler's inspectional / analytical / syntopical method, the Recite step from SQ3R, and S. Keshav's three-pass method for papers, with page-anchored notes as external memory so the agent never has to load the whole text into one context window. Use this skill whenever the user asks to read, study, summarize, analyze, review, or answer questions about a long book, textbook, PDF, EPUB, thesis, dissertation, survey paper, or any document of roughly 50+ pages. Also use it when a `<slug>-notes/` workspace from a previous session already sits next to a source file and the user asks a follow-up question about that book — search the existing notes before re-reading anything. Trigger on these requests in whatever language the user writes them — for example Vietnamese "đọc sách", "tóm tắt sách", "phân tích luận án", or equivalent phrasing in any other language. Do not use this skill for short documents (under ~30 pages) that fit comfortably in context — read those directly instead; the pipeline is overhead they don't need.