Full academic cold-email pipeline with MANDATORY comprehensive fact-checking (40+ items). Runs the original academic-cold-email workflow (professor research → research topic → bilingual draft) then AUTOMATICALLY performs exhaustive fact-checking covering ALL claims, paper content accuracy, technical nouns, research direction correctness, URLs, admission schedules, and research feasibility — with source links and corrections embedded into the output file. No user approval needed for fact-checking. Triggered when user wants a verified, professor-safe cold email for graduate admission to Japanese universities.
面向日本大学院申请的教授匹配型研究计划书 skill。用于：用户提供教授主页链接， 希望先分析教授近年的研究方向与招生风险，再基于申请者背景生成 1 个可行研究题目、 整理文献框架、确认 proposal 大纲，并最终输出 Markdown 格式研究计划书。写作阶段必须完整遵循本 skill 内置的结构、领域模板、风格与质量检查参考文件；非写作阶段遵循日本教授主页调研与题目匹配流程。适用于“研究计划书”“研究 proposal”“博士申请 proposal”“日本大学院申请研究计划”等场景。
Automate the rigorous extraction of critical admission information from Japanese university application guidelines (募集要项) and archive the structured data to Notion. Triggered when a user provides a PDF, text, or URL of Japanese university admission guidelines and requests information extraction, summary, or Notion archiving. Also triggered by keywords like "募集要项", "出愿", "招生简章".
Automate academic cold-emailing to Japanese professors for graduate admission. Deep-research professor webpages (including Japanese-language pages), generate a tailored research direction bridging professor's work with applicant background, draft bilingual (English + Chinese) cold emails, and archive all intelligence and drafts to Notion. Triggered when user wants to contact a professor for graduate school admission inquiry or "套瓷".