APA 7th citation formatter with CrossRef DOI validation, preventing LLMs from hallucinating author names on papers they didn't write.
At McKinsey, a recommendation was only as good as the research under it. So I learned to do it right: scope the real question, pull from independent sources, triangulate what's actually true, and ground every claim in evidence. This Skill runs that discipline for you — breaking down a question, comparing sources, verifying claims, and writing a structured report with citations you can check. Decisions on evidence, not vibes.
Turn your weekly PubMed reading into a structured, ranked digest in under 3 minutes. Retrieves the most impactful biomedical papers for any query, ranks by relevance, Journal Impact Factor tier, and citation velocity, then delivers a 5-part expert summary per paper (Background, Key Findings, Clinical Relevance, Methodology, Limitations) plus an executive synthesis. Every citation verified with PMID and DOI. Built for oncology and clinical research.
Most AI research sounds confident and quietly makes up its citations. This does the opposite: paste your question (and any sources you have) and get a structured brief — summary, findings, synthesis, limitations, recommendations — that reasons from solid knowledge and the sources YOU provide, and never fabricates a citation. Anything it can't ground is marked [UNVERIFIED], so you know what's solid and what to check. For founders, analysts, and anyone who needs a brief that survives scrutiny.
Fetches every source your draft cites and grades whether the quote actually says what you claim, catching AI-hallucinated citations before you publish.
Turn your research into bilingual social drafts with traceable evidence. Includes a Python source-reference checker and reusable writing workflow. Requires your own AI client for writing; no model credits, web search, or auto-posting included. 將研究整理成中英文社群草稿與來源對照。包含 Python 引用檢查器與寫作流程；寫作使用買家自己的 AI 客戶端，不含模型額度、網路搜尋或自動發布。
Generative-engine-optimization grounded in current GEO research: answer-first rewrites, entity & schema, citable phrasing, Reddit/community strategy and a 30-day AI-visibility plan.
把 PDF 自动读成知识卡、越用越懂你的私人第二大脑，有据可查、带你的调性。 Drop your PDFs into one folder — it reads them into structured knowledge cards, weaves them into a topic network, and keeps learning your voice and judgment. From then on, everything you write, answer, or review is grounded in your own knowledge: traceable to the source, written in your style, never re-reading what it has already read, and token-efficient on batches.
Turns any named decision framework into a 4-part reference card — definition, how-to, real example, limits — with every claim traced to a cited source.