drpwchen
UserTurn your own PDF textbooks into an AI-searchable knowledge base and structured, fully-cited notes — figures included. Local-first, token-frugal.
Categories
Indexed Skills (3)
textbook-to-md
Convert PDF/EPUB textbooks to searchable markdown files for an AI agent's own reference. Use this skill whenever: (1) the user asks to convert a textbook/PDF chapter to markdown, (2) you need to search textbook content and no markdown version exists yet, (3) batch-converting a set of reference books into a knowledge base. This is a 0-token local conversion — no vision model needed.
paper-digest
Produce a content/knowledge digest of ONE paper for fast absorption of its full content — not a quality critique. Use when the user wants to "整理內容", "快速吸收", "知識整理", "內容平讀", or when /paper-sync dispatches a 📚內容 pick. The digest reorganizes the paper's full text into a teaching-style structured note (structure routed by paper type) plus self-test review cards pushed to the 複習頁 (configured `review_site.url`). REQUIRES full text: no full text → STOP and report 缺全文, never produce an abstract-only digest. NOT a critical appraisal (that is /paper-review) and NOT a multi-paper synthesis.
paper-review
Deep single-paper academic analysis — journal credibility, author profiling, reference verification, citation impact, and critical appraisal. Like a teaching hospital journal club report. Use this skill whenever the user wants to deeply review, evaluate, or dissect a single academic paper, prepare a journal club presentation, verify a paper's references, check an author's track record, or do any thorough paper-level analysis. Also trigger when the user says "review this paper", "深度評讀", "journal club", "論文評讀", "幫我看這篇", or provides a DOI/PMID asking for analysis. NOT for multi-paper systematic reviews or standalone evidence grading.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.