'explainer' 검색 결과

Turns a schedule extract (milestone list or planning tool export) and the period's status notes into a DRAFT plain-language slip explanation: which milestones and activities slipped and by how many working days, arithmetic shown, why per the notes as verbatim fragments with source and date, what each slip pushes next per the extract, and the decision each slip needs framed as a question with the options the notes propose and the owner the governance documents name, every missing fact marked UNKNOWN. Use when the user asks to "explain the schedule slip", "what slipped this month and why", "write the schedule commentary for the steering pack", "put the delay in plain language for the sponsor" or "what decisions do these slips need". Do not use for the weekly status report, use project-status-tracker instead; for cost variances, use budget-variance-explainer; for one sprint's carry-over, use sprint-review-summary. Drafts for human review; never approves, authorises or signs off.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create a narrated editorial explainer from a topic, presenter, or photo using high-contrast paper-collage keyframes, motion, audio, and captions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Trigger when the user asks for explanations of web development concepts, code breakdowns, or learning guidance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert guide for crafting high-quality video prompts for Ozor.ai, the AI video generation platform. Use this skill whenever the user mentions Ozor, wants to create a launch video, product demo, feature announcement, explainer video, social ad, release notes video, investor update, tutorial, or any marketing video. Also trigger when the user asks for help writing video prompts, improving video output, structuring video scenes, choosing video formats, or wants best practices for AI video creation. Trigger on phrases like 'make a video', 'create a launch video', 'video for my product', 'Ozor prompt', 'video best practices', 'explainer video', 'product demo video', 'social clip', 'announcement video', or any request involving short-form video content for products and marketing.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

変更内容の解説(explainer)と理解確認クイズを生成する。マージ前に変更を理解しているか確かめたいとき、「この変更を説明して」「クイズを出して」「変更内容を理解したい」などの依頼で使う。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create AI marketing videos for ads, promos, product launches, and brand content. Models: Veo, Seedance, Wan, FLUX for visuals, Kokoro for voiceover. Types: product demos, testimonials, explainers, social ads, brand videos. Use for: Facebook ads, YouTube ads, product launches, brand awareness. Triggers: marketing video, ad video, promo video, commercial, brand video, product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

추상적인 개념이나 원리를 움직이는 손잡이와 바늘이 있는 정밀한 기계로 표현하고, 비스듬히 내려다보는 조작형 설명도를 HTML, SVG, React용으로 제작합니다.

• 움직이는 기계로 추상 개념 설명
• 기술 글에 조작형 설명도 추가
• 독립 실행형 HTML 설명 자료 제작

주제나 대본과 사용 허가를 받은 성인 인물 이미지로 내레이션과 자막이 있는 발표자 영상을 제작합니다. 입 모양과 화질을 확인하고 음량을 조정해 보관용과 공유용으로 내보냅니다.

• 내레이션이 있는 설명 영상 제작
• 기존 발표자 영상에 자막 추가
• 음성과 입 모양의 동기화 수정

수학 개념과 수식 유도, 알고리즘 실행 과정을 애니메이션 영상으로 만듭니다. 구성 계획부터 렌더링과 영상 결합까지 안내하며 도형으로 이해를 돕는 설명을 제작합니다.

• 수학 개념을 도형으로 설명할 때
• 수식 유도를 순서대로 보여 줄 때
• 알고리즘 실행 과정을 시각화할 때

Create a mobile app prototype that presents habits or daily tasks as quests with experience points and levels. A single HTML page displays three phone screens: a cover, today's quest dashboard, and a quest detail with steps and rewards.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prototype a habit tracker with game elements
• Explore a daily quest dashboard with experience points
• Design quest details with steps and rewards

Generate Mandarin and multilingual narration with Volcengine Doubao Speech 2.0. Choose a voice and speaking speed, save the audio, and retain character-level timing metadata for subtitles in an OpenMontage workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating Mandarin narration for explainer videos
• Comparing short samples of voices and speaking speeds
• Building subtitles from character-level timestamps

Generate multilingual narration from scripts in OpenMontage using Azure AI Speech. Choose a voice, adjust speaking rate, pitch, and supported delivery styles, then save individual narration segments as MP3 or WAV files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating narration for explainer videos
• Generating voiceovers in multiple languages
• Adjusting narration speed and delivery style

Turn a written brief into an explainer video by generating narration, images, music, and optional talking presenters. Assemble scenes with Remotion, adjust their timing to the generated audio, review still frames, and render an MP4.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a narrated product introduction
• Turning a sprint review into a video
• Adding an animated presenter to a scene

Start video and animation work by matching the request and project state to an appropriate HyperFrames workflow. It coordinates new productions, edits, captions, previews, validation, and rendering, using HTML files to define the video.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a product video from a website or brief
• Add captions or graphic overlays to existing footage
• Resume editing an existing HyperFrames project

Add timed graphic cards to an existing interview, podcast, or talking-head video. Turn spoken points into titles, quotes, and data callouts, then render an MP4 in a landscape or portrait format while the original clip plays throughout.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Highlight key points in an interview
• Add data callouts to an explainer video
• Package a podcast video for a portrait canvas

Add synchronized subtitles and text effects to an existing single-speaker video. Choose from 35 visual styles, including readable lower captions and words placed behind the person, with local transcription, subject cutout, previews, and final video compositing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add readable subtitles to an explainer video
• Place an emphasized word behind the speaker
• Create themed caption effects for social videos

Explain how input features contribute to machine-learning predictions using SHAP. Select an explanation method and reference data, validate contributions against model outputs, and create charts for individual predictions or patterns across samples, including models with multiple outputs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explaining the feature contributions behind one prediction
• Visualizing attribution patterns across evaluation samples
• Selecting and explaining a class in a multiclass model

Turn pull request changes, commits, and test evidence into a self-contained HTML guide. Explain the problem, system context, before-and-after behavior, and key code changes so reviewers know where to focus.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explain a complex pull request before review
• Show before-and-after behavior with diagrams
• Collect test evidence and review focus points

Turn long Markdown files into a single HTML file for reading, reviewing code, or presenting slides. Routes each input to a specialized converter and applies shared design settings, with navigation and interaction suited to the document type.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting long specifications or reports into navigable HTML
• Presenting code reviews with diffs and severity annotations
• Turning Markdown into slides with keyboard navigation

Convert long Markdown specifications, reports, and plans into a single HTML document with a sticky table of contents, search, section tracking, and code-copy buttons. Apply previously configured brand colors and layout styles.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn long specifications into navigable HTML documents
• Add search and a table of contents to reports
• Apply consistent brand styling to technical documents

Turn text into audio files for narration, product demos, phone prompts, or accessibility reads using the OpenAI Audio API. Choose built-in voices and delivery directions, then generate a single clip or a batch of files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create narration from an explainer script
• Generate a voiceover for a product demo
• Produce a batch of phone menu prompts

Turn a new product idea into a testable hypothesis and two or three simple experiments. Define target customers, expected actions, measurement methods, and success thresholds to assess demand through behavior such as sign-ups, pre-orders, or paid commitments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Testing demand before building a new product
• Planning landing page or waitlist experiments
• Checking willingness to pay through pre-orders

Turn technical ideas into detailed, interactive SVG illustrations that resemble real machines or instruments. Moving parts and live readings share the same model, creating diagrams for articles, documentation, or landing pages that readers can explore.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Illustrate a technical concept in an article
• Explain an algorithm through a moving machine
• Create an interactive landing page figure

Explain code structure and behavior with text diagrams, including before-and-after views of changes. Trace data flow and state changes, clarify design choices, and examine assumptions, possible failures, and interactions between tasks running at the same time.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding a patch through before-and-after diagrams
• Tracing a class's behavior and state changes
• Mapping component relationships across a codebase