Research, academic papers, education, and exam prep (4.5K skills)
Use when the user describes a research goal without naming a skill, or the task spans several skills. Classifies the request, plans the order and routes to the right medsci-skills skill(s) instead of producing their output itself.
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Use when choosing the model for a medical-imaging study. Picks a paper-grounded architecture family (CNN/ViT, U-Net/nnU-Net, detection, SAM/foundation, GNN), then vets the concrete repo or checkpoint for licence, version pin, weight provenance and benchmark overlap.
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Use when a target journal has no profile yet. Reads the journal's author guidelines and writes a detailed /write-paper profile plus a compact /find-journal profile, public or user-local private, in the canonical format with quality gates.
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Use when references in a .bib file (often from /search-lit) should land in Zotero and Obsidian. Syncs them to the Zotero library, writes Obsidian literature notes and extracts cross-cutting concept notes once enough accumulate. A folder of PDFs is /obsidian-paper-vault.
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Use when turning a folder of research PDFs into Obsidian notes, even if Obsidian is not named. Writes one templated literature note per paper and extracts cross-linked atomic concept notes, never overwriting existing ones. A .bib or Zotero library is /lit-sync.
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Use when starting or inheriting a radiology research project and need to know what it is. Classifies the project type, summarizes its current state, lists missing inputs, recommends next steps and scaffolds lightweight project memory files.
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Use when a medical AI paper should be found and cited by AI search engines and RAG tools. Optimizes the title, abstract, summary box (Key Points, Research in Context), keywords, preprint, GitHub README/CITATION.cff and Hugging Face card, returning a visible pass/fail checklist.
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Use when you need full-text PDFs for a list of DOIs, such as a meta-analysis screening set. Batch-downloads open-access copies via Unpaywall, PMC, OpenAlex and Crossref, lists paywalled papers for manual access, and can convert PDFs to Markdown.
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Use when preparing an academic talk such as a journal club, grand rounds, seminar, conference presentation, or lecture/teaching deck. Analyzes the source, drafts audience-adapted speaker scripts, builds or augments the PPTX with speaker notes and prepares Q&A.
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Use when looking for research topics a longitudinal cohort database can answer (NHIS, UK Biobank, an institutional EMR or registry). Profiles the cohort, matches PI expertise, scans literature saturation and returns ranked topic proposals with gap evidence.
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Research best-in-class products using Browser MCP and WebSearch
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ユーザーの既存文章を複数読み込み、文体特徴（語尾パターン、文の長さ、漢字/ひらがな比率、口調、接続詞傾向）を抽出してスタイルプロファイルを生成する。 「文体を分析して」「書き方を真似て」「文章のスタイルを学習」等のリクエストで発動。
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論文投稿用の出版品質グラフ・図表を作成するメタスキル。 「論文用のグラフを作って」「Nature用の図を作成」「出版品質の可視化」等のリクエストで発動。
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X (Twitter) のリアルタイム検索を行い、トピックに関するツイートを収集・分析する。 検索結果を構造化レポート（Markdown + JSON + TXT）として出力。 「Xで検索して」「Twitterで調べて」「ツイートを分析」等で発動。
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スクリーンショットからGemini Vision APIで操作チュートリアルを自動生成する。 「操作マニュアルを作って」「スクショから手順書を生成」「使い方ガイドを作成」等で発動。
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Generates text in a learned writing voice. Use when drafting content that must match a specific author's style profile extracted by voice-extract.
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Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report.
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Export a research session into knowledge-intake compatible markdown. Use after a research session to hand findings to memory-palace.
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Refines an active research session by drilling deeper into a subtopic. Use after tome:research to narrow results to a specific channel or angle.
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Runs multi-source research across GitHub, HN, Reddit, arXiv, and Semantic Scholar. Use when surveying a technical topic across multiple channels.
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Improves a voice profile by learning from manual edits. Use after editing generated text to refine registers and close voice drift over time.
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Plans, drafts, and refines technical tutorials for developers. Use when writing step-by-step guides or getting-started walkthroughs backed by working code.
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Searches academic literature via arXiv, Semantic Scholar, and open-access PDFs. Use when building literature reviews or finding formal research on a topic.
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Generates terminal recordings using VHS tape scripts and produces GIF outputs. Use when creating demo GIFs or documenting CLI workflows for tutorials.
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