21건 · 관련도순
Turn law study outlines, notes, or textbook excerpts into flashcards, then practice one question at a time in chat. Self-assessment updates learning stages and review dates, while subject-level statistics highlight concepts that need more work.
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Practice a chosen law subject with a fixed number of multiple-choice questions, essay prompts, or flashcards. Get explanations after each answer, record results, and use weak-topic patterns to guide the next study recommendations.
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외울 사실을 질문과 답변 카드로 만들고 응답에 따라 복습 간격을 정합니다. YouTube 영상 퀴즈, 분야별 모음 관리, CSV 가져오기와 내보내기를 지원하며 카드는 로컬에 저장합니다.
Use when creating, testing, or updating active-recall flashcards grounded in session concepts to reinforce retention.
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Spaced-repetition flashcard system. Create cards from facts or text, chat with flashcards using free-text answers graded by the agent, generate quizzes from YouTube transcripts, review due cards with adaptive scheduling, and export/import decks as CSV.
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Research synthesis from sources — "summarize these URLs or papers", "research this topic with these sources", "create a podcast about", "audio overview", "mind map", "quiz from these sources", "flashcards", "deep research on". Wraps Google NotebookLM via notebooklm-py.
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AI language tutor for learning ANY language through conversation, vocab drills, grammar lessons, flashcards, and immersive practice. Use when the user wants to: learn a new language, practice vocabulary, study grammar, do flashcard drills, translate phrases, practice conversation, prepare for travel, learn slang/idioms, or improve pronunciation. Supports ALL languages including Spanish, French, German, Japanese, Chinese (Mandarin/Cantonese), Korean, Arabic, Hindi, Bengali/Bangla, Portuguese, Russian, Italian, Turkish, Vietnamese, Thai, Swahili, Hebrew, Polish, Dutch, Greek, and 100+ more.
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Bring articles, YouTube videos, documents, and other sources into NotebookLM to create audio, slides, reports, and study materials. It also supports deeper analysis through a series of questions, with optional export to 飞书 documents.
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Use the nlm command-line tool or MCP tools to manage Gemini Notebook notebooks and sources, ask questions, discover research material, and generate content. Check account usage and reset times before work that depends on available quota.
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Generate questions from the user's own concept pages so they can find out what they saved but never learned, and compare their answers against what the pages say. Use this skill when the user wants to test themselves, revise, make flashcards from their notes, or asks what they have forgotten. Do NOT use for generic quizzing on a topic the vault does not cover, or for answering a question from the vault.
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Extract key concepts from any content and create spaced-repetition flashcards. Multiple formats: Anki-compatible, printable PDFs, interactive web.
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Master skill that transforms ANY content into 8+ formats: slides, infographic, video script, podcast, social posts, email series, flashcards, quiz, one-pager, interactive game.
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临考复习教练 / Exam cram coach. 学生给一个课程资料文件夹（课件 PDF/PPTX/DOCX/笔记/作业/答案/真题/往年卷），它按章节讲解并标出处、把讲义和题目里的图裁出来展示、只用资料里的题考试判分、记错题和笔记、按天排复习计划、做小抄，并标明每句话是否来自资料。触发词：期末、期中、考试、备考、复习、突击、刷题、真题、作业讲解、错题本、划重点、小抄、复习计划、考研、考证、课件讲解、讲义。Use when a student wants to prepare for a final, midterm or any exam from their own course files: teach chapter by chapter with page citations and the figures cropped from the materials, quiz only from the homework and past papers, keep progress, mistakes and notes across chats, plan the remaining days, build a cheat sheet, and label what comes from the materials. Triggers: exam prep, cram, revise, study for the test, lecture slides, homework solutions, past papers, practice questions, quiz me, mistake log, cheat sheet, study plan, study guide, flashcards.
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Master skill that transforms ANY content into 8+ formats: slides, infographic, video script, podcast, social posts, email series, flashcards, quiz, one-pager, interactive game.
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This skill should be used when the user wants to query their Google NotebookLM notebooks for citation-backed, source-grounded answers, or manage notebooks, sources, and Studio content (audio, report, video, infographic, presentation, data table, flashcards, quiz, mind map). It drives the @roomi-fields/notebooklm-mcp engine — via the notebooklm MCP tools when they are available in the session, otherwise via its HTTP REST API — and covers Google login, citation formats, the daily-quota-aware batch/ingestion pattern, and source discovery.
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Use this skill when the user wants intellectual understanding — learning how or why something works, not getting a task done or soliciting Claude's judgment. Trigger for: - Explicit learning requests: teach, explain, ELI5, walk me through, quiz me, flashcards, "I'm rusty on"; definitions ("what is X") - Terse concept names implying "help me understand this": "Galois theory," "transformers, from scratch" - Confusion signals: "won't stick," "keep mixing these up," "not getting it" - Learning-path questions: prerequisites, sequencing, what to study before X - Conceptual questions about mechanisms, causes, or dynamics Don't trigger for: - Tasks: coding, writing, calculation, translation, factual lookup, news updates - Personal troubleshooting; resource/textbook recommendations - Claude's evaluative verdict: opinion prompts ("do you think X", "settle this", "honest take", "is X dead / still taken seriously") and interpretive takes ("was X really as harsh as people say")
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Sync high-value dev knowledge (skills, decisions, lessons) into Google NotebookLM for cloud recall, podcasts, and flashcards. Pairs with Dockit/deep-search. Use for NotebookLM, nlm, knowledge base, skill sync, or cross-machine AI memory.
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Integrates with the EchoDecks External.
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把任意学习材料（讲义/笔记/教材/PDF/PPT/Markdown/网页/转写稿）做成一个单文件、 可离线打开、可反复刷的 HTML 互动习题库：5 种题型（单选/多选/判断/填空/闪卡）、 即时判分 + 解析、按单元/题型筛选、错题本快照、进度本地保存、中英双语一键切换。 当用户说"做习题库 / 刷题网页 / 把笔记做成练习题 / 互动题库 / 错题本 / 期末练习题 / generate a quiz / make a practice quiz / turn notes into flashcards"时触发。 区别于 cheatsheet-generator（把材料压成一张速查表）——本 skill 产出的是可作答、 可反复练的题库。
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Platform agent skill and content blocks that teach agents a render block, building the block first if new. Use when asked to create the skill for a render block, skill-ify flashcards or quiz, add content blocks for a block, or add a new render block type. NOT for tool result displays (use create-tool-renderer).
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