215건 · 관련도순
Prepare an academic CV for faculty, postdoctoral, or research applications. Organize publications, grants, teaching, and research experience, with section order and formatting adapted to the role and academic field.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Plan how to introduce AI into economic research, teaching, or policy analysis. Identify suitable tasks, choose tools with privacy and licensing in mind, and design reproducible data workflows with output checks and ongoing model monitoring.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Use a teacher's recordings or lecture materials to identify evidenced teaching habits, including phrasing, examples, pacing, and visual presentation. Apply those habits to a course on a requested topic, keeping its subject facts separate from the source lesson.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn student course evaluations (free-text + numeric) into an actionable teaching-improvement plan — the teaching analogue of /respond-to-referees. Clusters comments into themes, separates signal from noise, classifies each theme Keep / Change / Investigate / Out-of-scope, and drafts concrete changes mapped to the syllabus and slide decks. Use when user says "respond to my evals", "what do these course evaluations tell me", "turn my teaching feedback into a plan", or after a semester's evals arrive.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate follow-up teaching moves that extend student thinking after a specific classroom response. Use when a student says something worth exploring and the teacher wants to deepen the dialogue.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Tier vocabulary from a text or topic into everyday, academic, and technical categories with teaching priorities. Use when pre-teaching vocabulary or identifying language barriers in a text.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Tier vocabulary from a text or topic into everyday, academic, and technical categories with teaching priorities. Use when pre-teaching vocabulary or identifying language barriers in a text.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate follow-up teaching moves that extend student thinking after a specific classroom response. Use when a student says something worth exploring and the teacher wants to deepen the dialogue.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Teaching home-economics skills as a durable practice across generations and capacity levels. Covers scaffolded task sequencing, the one-in-one-out rule, the apprenticeship model, learning by failure tolerance, family retros, the edible schoolyard framework, and the difference between teaching a recipe and teaching a kitchen. Use when designing a home-ec curriculum for children or adults, diagnosing why a taught skill is not being practiced, or building a household practice that survives the departure of the teacher.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use for explicit undergraduate data-science teaching, assignment guidance, concept clarification, method selection, or output interpretation. Do not activate merely because a task contains data or Python code.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create a practice-area guide for a legal clinic that sets intake questions, how much help AI gives students, supervisor review requirements, checks using other plugins, and local rules. The guide configures how student-facing skills behave.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn a research paper into teaching materials — a lecture outline, the 3-5 results worth presenting (with intuition), a slide skeleton ready for `/create-lecture`, discussion questions, and a problem-set brief. Reads the paper end-to-end and pitches to a stated audience level. Use when user says "turn this paper into a lecture", "teach from this paper", "build slides from this PDF", "make teaching materials from X", "I'm presenting this paper to my class".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
The learner teaches the concept to the AI, which plays a curious novice peer and identifies gaps through authentic questions. Use when the learner wants to test their understanding — teaching forces a different kind of organisation than studying.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when user asks about 藏传佛教, 噶举派, 大手印, phyag chen, 拙火, tummo, 那洛六法, 苦行, 闭关, 道歌, mgur, 米拉日巴, 玛尔巴, 上师瑜伽, 出离, 暇满, 中阴, 气脉明点, 觉受, nyams, 本觉, rig pa, or wants teaching in 米拉日巴尊者 Milarepa's voice. Triggers include "米拉日巴"、"密勒日巴"、"Milarepa"、"道歌"、"十万歌集"、"大手印"、"拙火"、"那洛六法"、"玛尔巴"、"噶举"、"白教"、"山洞修行"、"苦行"、"上师瑜伽"、"中阴"、"明空" — invoke whenever user's question touches Tibetan Kagyu / Mahāmudrā / yogi practice or asks about Milarepa's life and teachings, even without explicit request.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user wants to teach / learn an English word as a video — turn a single English word into a self-contained HLS "supercut" lesson built from the mira video base. Stitches every season2 clip where the word is spoken (via the search-app API) into one .m3u8, prepended with a Claude-written bilingual word-intro card (word + IPA + 中文 gloss + usage, Volcano TTS) and appended with a 关注王建硕 CTA card. No MP4 burn. Triggers — "teach <word>", "讲讲 <word>", "学英语 <word>", "把 <word> 做成视频", "/wjs-teaching-english <word>".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
The learner teaches the concept to the AI, which plays a curious novice peer and identifies gaps through authentic questions. Use when the learner wants to test their understanding — teaching forces a different kind of organisation than studying.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Apply source-aware mechanical-engineering judgment to research, analysis, coding, writing, teaching, research identity, and release work. Use for thermal-fluid systems, heat transfer, fluid mechanics, thermodynamics, HVAC, energy systems, turbomachinery, piping, multiphase flow, experiments, correlations, CFD, reduced-order models, AI/ML, uncertainty, engineering datasets, literature reviews, citations, manuscripts, reviewer revisions, Overleaf packages, figures, proposals, research software, reproducibility, public releases, engineering teaching materials, or a research-project logo and visual identity.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Introduce people to AI, agentic AI, and AI skills with appropriate pedagogy for any audience. Covers LLM analogies, progressive complexity paths, aha-moment demos, audience-tailored explanations, workshop design, and overcoming emotional barriers to AI adoption. Activate on 'explain AI', 'introduce AI', 'AI workshop', 'AI demo', 'teach AI', 'AI literacy', 'onboard to AI', 'AI evangelism', 'explain agentic', 'explain skills to', 'AI training session', 'AI onboarding'. NOT for teaching ML engineering (use ai-engineer), not for building AI features (use ai-engineer), not for prompt engineering (use prompt-engineer), not for building training data pipelines.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a concept is too abstract for the learner's current level and needs analogy-first teaching before complexity re-injection.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when writing or editing Japanese documentation, teaching material, comments, or explanations for this template (Sabakyan style). Trigger words: ドキュメント執筆, 教材, 解説を書く, 日本語スタイル, README 作成, 説明文, サバキャン, わかりやすく書く.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Detect when user is teaching best practices and persist as skills
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Introduce people to AI, agentic AI, and AI skills with appropriate pedagogy for any audience. Covers LLM analogies, progressive complexity paths, aha-moment demos, audience-tailored explanations, workshop design, and overcoming emotional barriers to AI adoption. Activate on 'explain AI', 'introduce AI', 'AI workshop', 'AI demo', 'teach AI', 'AI literacy', 'onboard to AI', 'AI evangelism', 'explain agentic', 'explain skills to', 'AI training session', 'AI onboarding'. NOT for teaching ML engineering (use ai-engineer), not for building AI features (use ai-engineer), not for prompt engineering (use prompt-engineer), not for building training data pipelines.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
과학 원리, 사물의 구조, 작업 흐름을 색상과 여백이 일관된 SVG 도표로 만듭니다. 밝은 화면과 어두운 화면을 지원하며 단일 HTML 파일로 출력합니다.
글이나 자료를 비교도·연표·절차도 등의 인포그래픽으로 만듭니다. 21가지 레이아웃과 21가지 화풍을 조합해 이미지를 생성합니다.