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Found 17 Skills
GitHub CLI(gh)를 활용한 GitHub 플랫폼 상호작용 가이드. 다음 상황에서 사용: (1) GitHub 이슈 생성, 조회, 수정 시, (2) Pull Request 생성, 리뷰, 병합 시, (3) GitHub 릴리스 생성 및 관리 시, (4) 레이블, 마일스톤 등 프로젝트 관리 시, (5) GitHub Actions 워크플로우 실행 및 결과 조회 시, (6) 'gh', 'issue', 'pull request', 'PR', 'release', 'label', 'workflow', 'run' 키워드가 포함된 작업 시
Chemistry subject expertise for study notes, problem-solving, and explanations. Covers organic, inorganic, physical, and analytical chemistry. Provides reaction mechanisms, molecular diagrams, formulas, and worked examples. Use when studying chemistry topics, creating chemistry notes, solving chemistry problems, or explaining chemical concepts. Triggers - chemistry help, chemical reactions, organic chemistry, periodic table, stoichiometry, molecular structures.
ELI5-style explanations with analogies and multiple examples. Explains concepts at different levels (ELI5, high school, undergraduate, graduate). Uses real-world analogies and visual metaphors. Use when explaining difficult concepts, clarifying confusing topics, or learning new subjects. Triggers - explain concept, ELI5, explain like I'm 5, what is, how does, why does, analogy for, simple explanation.
Create high-quality Obsidian study notes with rich analogies, diagrams, and structured explanations. Handles both single notes and multi-file topic sets. Use when creating study notes, summarising lecture content, building a knowledge base, or organising any learning material into Obsidian markdown. Triggers - create study notes, obsidian notes, study notes, organise notes, learning notes, note from lecture, note from PDF.
Guide users to thoroughly study an article/document and truly master it (not just generate a summary). Five steps: Extract key insights → Divide into sessions → Run the "Learn-Test-Teach" cycle for each session → Connect to user's scenarios → Practical operation + Quiz + Explain wrong answers + Distill learnings. Each session produces HTML courseware + documented notes; a quiz is mandatory after each session, and you must correct any inaccuracies in the user's retelling; abstract concepts can be demonstrated interactively (clickable and executable); use the user's own business scenarios as cases throughout; generate auto-graded quizzes with multiple question types after learning, and finally distill the learnings back into the user's tools. The core trigger is when the user wants to "learn" rather than "get a result", such as "Let's study this article/link together", "Teach me", "Intensive reading", "I want to learn X", "I don't understand this article, please explain it to me". Start directly when there are specific materials (links, local files, PDFs, or the user's own skill/document/code); if there is only learning intent but no materials, still use this skill, but the first thing to do is confirm the materials with the user, and never teach based on memory. Not applicable for: Only needing a summary/abstract/tutorial article where the user reads it and finishes without needing to answer questions (use readable-output), just collecting information for research (use available web/platform material collection tools), asking to write PRD/test cases (use prd-test-writer), and when the user actually wants you to do the task directly (just do it then).