웹 앱의 조작 과정을 커서와 자막이 포함된 WebM 영상으로 기록합니다. 화면 조사와 리허설을 거쳐 입력, 클릭, 스크롤을 보기 편한 속도로 촬영합니다.
- 새 기능의 사용 과정을 영상으로 소개
- 처음 사용하는 사람을 위한 안내 영상 제작
- 문서에 조작 영상 추가
339건 · 관련도순
웹 앱의 조작 과정을 커서와 자막이 포함된 WebM 영상으로 기록합니다. 화면 조사와 리허설을 거쳐 입력, 클릭, 스크롤을 보기 편한 속도로 촬영합니다.
Create missing documentation for a feature, module, or whole project. Use Diataxis, a framework that separates tutorials, practical guides, reference information, and explanations, to organize documents around what readers need to learn or accomplish.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Prototype a documentation page in one HTML file, with navigation, an article, and a linked table of contents. Includes realistic explanatory text, command examples, code, and tables, plus layouts that adapt to narrower screens and right-to-left text.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Prepare for four Claude certification tracks through guided lessons, practical exercises, quizzes, and mock exams. The tutor checks understanding and learner-created work, records progress, and uses assessment results to guide review.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn code from the current session into a focused blog walkthrough with a generalized code sample and usage example. Learn the author's style from writing samples, adapt to the destination, and save only after approval.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Find explanations, tutorials, configuration guidance, and code examples in official documentation for Microsoft technologies. Choose documentation sources for Azure, .NET, VS Code, GitHub, Aspire, and Agent Framework based on where the relevant material is published.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Edit videos through conversation, from transcription and take selection to cuts, color adjustments, animated overlays, and subtitles. Confirm an editing plan, review a checked preview, and refine the result before the final render.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create and refine Jupyter notebooks for experiments, exploratory analysis, or tutorials. Bundled templates help organize runnable code and short explanations into clear steps, while validation guidance supports notebooks that others can read and rerun.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn educational topics or biographies into original comics with planned panels and recurring characters. Choose an art style, mood, and layout, then produce storyboards, image prompts, illustrated pages, and a combined PDF.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn the current conversation topic into an interactive lesson with spoken explanations and text diagrams in the terminal. Answer one question at each step, receive feedback, and check your understanding with a short quiz and recap.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Write AI tool reviews, setup tutorials, interview preparation articles, and technical explanations, or update existing articles against current source code. The workflow covers research, outline approval, prose checks, and source documentation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create a Chinese interview preparation guide for a focused machine learning or LLM topic, with formula derivations, PyTorch implementations, comparison tables, and 25 questions across three difficulty levels. The workflow reviews the content and renders it as HTML.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Check whether a CARLA feature is usable in the current environment and has a verified procedure. Review known failures, inspect build settings, and identify differences between client, server, and source versions before planning work.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create and maintain code comments, API specifications, documentation sites, and user guides. Apply consistent formats, document parameters and errors, validate code examples, and report which parts of the code have been documented.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create developer tutorial slides with a GitHub-style dark background, purple and blue lighting effects, and three-color gradient headings. Coordinate code colors, centered layouts, and highlighted blocks within a 16:9 presentation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Interactive tutorial teaching Ouroboros hands-on
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Turn any codebase into a beautiful, interactive single-page HTML course that teaches how the code works to non-technical people. Use this skill whenever someone wants to create an interactive course, tutorial, or educational walkthrough from a codebase or project. Also trigger when users mention 'turn this into a course,' 'explain this codebase interactively,' 'teach this code,' 'interactive tutorial from code,' 'codebase walkthrough,' 'learn from this codebase,' or 'make a course from this project.' This skill produces a stunning, self-contained HTML file with scroll-based navigation, animated visualizations, embedded quizzes, and code-with-plain-English side-by-side translations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generates complete technical tutorials from prerequisites and environment setup to core steps, troubleshooting, and a final cheatsheet. Trigger on requests to write a tutorial, create a setup guide, organize steps for beginners, or keywords like step-by-step, quickstart, or how-to guide.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Creates a persistent learning trail that compounds over time using the power of AI, spaced repetition and quizes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Interactive walkthrough for new users. Learn by doing — each step creates real content in your vault. Three tracks (researcher, manager, personal) with a universal learning arc. Triggers on "/tutorial", "walk me through", "how do I use this".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Transforms knowledge sources into an Obsidian StudyVault. Two modes: (1) Document Mode — PDF/text/web sources → study notes with practice questions. (2) Codebase Mode — source code project → onboarding vault for new developers. Mode is auto-detected based on project markers in CWD.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Main entry point for the Show Me The Money business automation suite. Dual mode: pre-task routing (which skill fits your problem) + post-task navigation (a skill just finished — what's next). Use when the user wants to start a business, automate operations, generate revenue, find product ideas, set up marketing, or run any business function autonomously. Also use when the user says 'show me the money', '来财' (the suite's Chinese name), 'make money', 'start a business', 'automate my business', 'build a company', 'what's next', or '下一步怎么走'. Includes a beginner tutorial mode triggered by '/money onboarding', '/money tutorial', '/money 新手', '/money 教程', 'how do I use this', or '这个怎么用' — a zero-input guided walkthrough that produces a demo business brief.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Search all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face). Accepts keywords or natural language questions in any language. Use whenever the user asks which Japanese NLP resource to use, or wants to find one: tokenizers / morphological analyzers, BERT or LLM models, embeddings, NER, text classification, datasets / corpora, dictionaries, tutorials, or Hugging Face models. Trigger phrases include '日本語の形態素解析ライブラリ', 'おすすめの日本語tokenizer', '日本語BERTモデル', '日本語の感情分析データセット', '日本語LLM 一覧', 'which Japanese embedding model', 'Japanese NER library'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Patterns for individual long-form content pieces. Case studies, whitepapers, research reports, definitive guides, manifestos, ebooks, long-form tutorials. The structural disciplines that distinguish publication-quality long-form from bloggy-long padding or academic bloat. Different from pillar-content-architecture (which covers hub structure); this skill covers individual deep-dive pieces. Triggers on long-form content, case study writing, whitepaper, research report, definitive guide, ebook, manifesto, long-form tutorial, deep-dive article, anchor piece, foundational article, structural archetypes. Also triggers when a piece is over 3,000 words and the team is unsure how to structure it, when a long-form draft feels padded or saggy, or when a flagship asset needs the depth to actually earn the length.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.