'search scene' 검색 결과

Search runtime and scene management: verify queries, inspect scenes, debug app readiness, and diagnose recall or scene-config issues.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Turn a math or science video idea into a detailed scene plan. Research the topic, clarify the audience, and outline visuals, narration, transitions, and implementation notes for Manim, an animation tool.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a rough explainer idea into a scene plan
• Plan intuitive math and science visuals
• Adapt video depth to the audience

Viking Search tuning for specified policy directions. Use this when the user provides specific queries, a type of query, or a business policy direction, and asks to boost, suppress, or fix a class of search results through request-parameter passthrough. You must only perform read-only baseline evaluation and request-level candidate testing; do not modify search scenes, app config, dictionaries, recommend scenes, or primary recall parameters.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Trigger when: (1) the user mentions "manim", "scene", "video", "EN/KO render", "GEODE_HERO_LANG", "1080p60", or (2) editing files under `scripts/visualizations/` ending in `.py`, or (3) the user asks to render, re-render, or extend any of the four validated scenes (`geode_hero.py`, `autoresearch_filewalk.py`, `autoresearch_compare.py`, `critical_floor.py`). GEODE Manim Scene authoring standard. Locks the patterns the four validated scenes already share — Anthropic-style palette, Helvetica Neue + Pretendard font pairing with weight=NORMAL, EN/KO multilingual lang via `GEODE_HERO_LANG` env, `_dashed_arrow_with_head` stage-coupled tinting, `verify_hero_layout.py` ratchet — so the next scene does not re-discover the kerning / padding / transition regressions catalogued in [[viz-frame-audit]].

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user provides 1-50 concrete bad-case search queries for one Viking Search app and wants local deterministic fixes. This skill only verifies request-level fine-operation interventions against a read-only baseline scene and delivers a console-ready configuration sheet, validated payloads, and a replay script. It must not mutate scenes, apps, dictionaries, datasets, recall core parameters, or online defaults.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Recommend runtime and V2 scene management: run recommendation requests, manage recommend scenes and rules, and verify the deployed recommendation path.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Manages Volcano Engine ContextSearch control-plane and application-console operations. Use for ContextSearch scene, AgenticSearch, data source, indexer, search-config, model, deployment, network, specification, and API-key administration. Do not use for generic web search or runtime RAG, image, or video retrieval and chat.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use the VideoDB Python SDK to search video by speech or visual content and create playable clips with timestamps. Add subtitles and audio, change aspect ratios, and configure alerts for live video or desktop sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find spoken topics or visual scenes and create clips
• Add subtitles, background music, or dubbing
• Change video resolution and aspect ratio

Trigger when: (1) User wants to create an educational/explainer video, (2) User has a vague concept they want visualized, (3) User mentions "3b1b style" or "explain like 3Blue1Brown", (4) User wants to plan a Manim video or animation sequence, (5) User asks to "compose" or "plan" a math/science visualization. Transforms vague video ideas into detailed scene-by-scene plans (scenes.md). Conducts research, asks clarifying questions about audience/scope/focus, and outputs comprehensive scene specifications ready for implementation with ManimCE or ManimGL. Use this BEFORE writing any Manim code. This skill plans the video; use manimce-best-practices or manimgl-best-practices for implementation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Trigger when: (1) User wants to create an educational/explainer video, (2) User has a vague concept they want visualized, (3) User mentions "3b1b style" or "explain like 3Blue1Brown", (4) User wants to plan a Manim video or animation sequence, (5) User asks to "compose" or "plan" a math/science visualization. Transforms vague video ideas into detailed scene-by-scene plans (scenes.md). Conducts research, asks clarifying questions about audience/scope/focus, and outputs comprehensive scene specifications ready for implementation with ManimCE or ManimGL. Use this BEFORE writing any Manim code. This skill plans the video; use manimce-best-practices or manimgl-best-practices for implementation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Trigger when: (1) User wants to create an educational/explainer video, (2) User has a vague concept they want visualized, (3) User mentions "3b1b style" or "explain like 3Blue1Brown", (4) User wants to plan a Manim video or animation sequence, (5) User asks to "compose" or "plan" a math/science visualization. Transforms vague video ideas into detailed scene-by-scene plans (scenes.md). Conducts research, asks clarifying questions about audience/scope/focus, and outputs comprehensive scene specifications ready for implementation with ManimCE or ManimGL. Use this BEFORE writing any Manim code. This skill plans the video; use manimce-best-practices or manimgl-best-practices for implementation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Control the Unreal Engine editor to build scenes, place objects, adjust lighting and materials, and frame camera shots. The skill guides inspection, incremental edits, visual checks, saving, and producing screenshots or renders.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building and dressing a 3D level
• Adjusting lighting for a specific mood
• Framing camera shots and producing renders

Build or refine a 3D scene by comparing live screenshots with a target image. This skill repeatedly evaluates composition, lighting, materials, and detail, then guides revisions while checking that rendering speed remains acceptable for the target platform.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a 3D scene to match a target image
• Improve lighting and materials in a browser game
• Refine the appearance of an existing 3D project

Build an immersive scroll-scrubbed "fly through the world" landing page for any industry or brand using Higgsfield. As the visitor scrolls, a pre-rendered camera flies from outside each scene into its interior, then flows on to the next scene with NO cuts — one continuous connected flight (Emons-style isometric diorama world, or any art direction you pick). The skill interviews the user for the topic, the story beats/sections, and brand kit, then generates cohesive scenes + seamless camera clips with Higgsfield and wires a portable, framework-agnostic scroll-scrub engine. The video chain renders through Monid by default (Seedance 2.0, pay-per-clip USD — capability re-checked each build, see Step 4) with Higgsfield credits as the fallback biller. Use when the user wants a "3D world" / "browse-through-the-industry" hero, a scroll cinematic, a diorama landing, or to turn a business into a scrollable world.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Think and work like an expert Computer Graphics Researcher. Use when a task calls for Computer Graphics Researcher judgment. Reasons from the rendering equation, Monte Carlo bias/variance, sampling theory, and BSDF energy conservation through pbrt-v4/Mitsuba 3 references, MIS/ReSTIR/path guiding, DXR 1.2 real-time stacks, 3DGS and NerfBaselines protocols, FLIP/ColorVideoVDP evaluation, OpenUSD/MaterialX/OpenPBR interchange, and ACES 2/OCIO color while treating unconverged references, unequal-time comparisons, denoiser and temporal-reuse bias, scene- vs display-referred color errors, and white-furnace energy failures as first-class failure modes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when adding a plugin to the marketplace, or when authoring, editing, or re-rendering a scene under scripts/animations/scenes/ — including when a scene fails the render contract, the contrast gate, or the grid baseline.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Search and preview Irasutoya illustrations with the installed `irasutoya` command-line tool. Use this skill whenever the user wants to find, recommend, preview, randomly pull up, or get the page/image URL of an Irasutoya (いらすとや) image — from a topic, scene, Korean/Japanese/English phrase, visual description, emotion, character, object, or action — even if they don't say "Irasutoya" by name but clearly want a free, cute illustration for a slide, 발표자료, blog, doc, or chat. Also use it to optimize vague requests into fast Japanese keyword candidates and to return page/image URLs. Do NOT use it to generate brand-new AI art (e.g. DALL·E, Midjourney), draw charts or diagrams, design logos or icons, cut out/edit existing images, or recommend other stock-image sites — it only searches Irasutoya's existing catalog.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Investigate photos, videos, public accounts, and records using OSINT, research based on public information. Connect sparse clues, test competing explanations, and report evidence, confidence, and unresolved questions about locations, events, identities, or infrastructure relationships.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify the location shown in a public-scene photo
• Reconstruct an event's timeline from public records
• Check links between companies and domains

Control Philips Hue lighting through OpenHue CLI and a Hue Bridge. Turn lights on or off, adjust brightness and color temperature, change supported bulb colors, and apply saved scenes to rooms.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Dim living room lights for a movie
• Set bedroom lighting to dim and warm
• Set office lighting to bright and cool

Create animated explanations of mathematical concepts, equation derivations, and algorithms with Manim Community Edition. The skill guides scene planning, Python animation code, rendering, and clip assembly into a finished explainer video.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explaining mathematical concepts through animated geometry
• Showing equation derivations step by step
• Visualizing how an algorithm runs

Find reusable visual effects, charts, titles, and other video elements, then install and integrate them into HyperFrames compositions. It explains how to place standalone scenes on a timeline and merge smaller effect snippets into existing HTML.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find and add a title effect or transition
• Integrate charts, maps, or terminal visuals into a video
• Install multiple video blocks sharing a tag

Create pixel art illustrations as SVG files, a scalable image format, for READMEs, documentation, and slides. Build character portraits, conversations, or group scenes, then refine colors, speech bubbles, arrows, and spacing to fit the requested layout.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a pixel art hero image for a README
• Illustrate a conversation with characters and speech bubbles
• Make a character illustration in project colors

Build continuous-shot motion-driven HTML stories from a subject or narrative, including research, story structure, consistent AI stills, Seedance scene and connector clips, interface styling, media normalization, and browser QA. Use for immersive journeys, timelines, product stories, fictional worlds, or other scene-based visual narratives whose camera should flow from beginning to end; not for ordinary autoplay video pages or general web apps.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detect and humanize AI-generated Chinese text. 20+ rule detection categories plus statistical features (sentence-length CV, short-sentence fraction, comma density, perplexity, GLTR, DivEye) plus scene-aware LR fusion (rule × 0.2 + LR × 0.8) trained on three scenes: general / academic / longform 长文本 (≥1500 字)。Unified CLI: ./humanize {detect,rewrite,academic,style,compare}. 8 style transforms (casual/zhihu/xiaohongshu/wechat/academic/literary/weibo/novel)。 Multi-paragraph rewriting (paragraph length CV、跨段 trigram 重复) plus best-of-N humanize (默认 N=10 取最低 LR)。165 replacement patterns + CiLin 同义词词林 38873 with collision blacklist。 Academic paper AIGC reduction for CNKI/VIP/Wanfang (知网/维普/万方 AIGC 检测降重)。 Pure Python, no dependencies, offline。v5.0.0 — HC3 fused 准确率 95%、学术 hero 100→35 (-65)、 工作汇报 96→13 (-83)、长篇博客 96→41 (-55)。 Use when user says: "去AI味", "降AIGC", "人性化文本", "humanize chinese", "AI检测", "AIGC降重", "去除AI痕迹", "文本改写", "论文降重", "知网检测", "维普检测", "AI写作检测", "让文字更自然", "detect AI text", "humanize text", "reduce AIGC score", "make text human-like", "去ai化", "改成人话", "去机器味", "降低AI率", "过AIGC检测", "长文本改写", "小说改写"

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.