'generative' 검색 결과

Generative Engine Optimization (GEO) — make content rank in AI search answers from ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. Audits existing content, rewrites for AI citation, and produces per-engine strategy. Use when asked to "optimize for AI search", "rank in ChatGPT", "GEO audit", "improve AI citations", "rank in Perplexity", "AI Overview optimization", "AI Overview ranking", "LLM SEO", "answer engine optimization", "AEO", "get cited by AI", "GEO", "generative engine optimization", "show up in ChatGPT", "appear in AI answers", "be cited by Perplexity", "SGE optimization", "Search Generative Experience", or "make my content show up in AI answers". Distinct from regular SEO — this targets generative engines, not traditional Google rankings.

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Creative technologist specializing in algorithmic art, shaders, and generative systemsUse when "generative art, creative coding, processing, p5.js, shader art, algorithmic art, art from code, nft art, creative-coding, generative, shaders, processing, p5js, algorithmic-art, nft-art" mentioned.

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AI 产品经理 (LLM 应用 / 生成式 AI / Agent 产品 / Copilot 嵌入 — 跨模型评估 / 工作流设计 / 产品-工程协同) (AI Product Manager — LLM application / generative AI / agent product 的产品经理实战) Master OS — automated mastery of AI Product Manager — LLM application / generative AI / agent product 的产品经理实战: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on AI Product Manager — LLM application / generative AI / agent product 的产品经理实战 problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「AI 产品经理」「AI PM」「LLM 产品」「Generative AI product」「RAG 产品」

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Analyze pre-trained generative diffusion models (Stable Diffusion, DALL-E, Flux) by computing quality metrics (FID, IS, CLIP score, precision/recall), inspecting noise schedules, extracting and visualizing attention maps, and probing latent spaces. Use when evaluating a pre-trained generative diffusion model's output quality, comparing noise schedule variants, analyzing cross-attention patterns for text-conditioned generation, interpolating between latent codes, or detecting out-of-distribution inputs.

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p5.js로 입자의 움직임과 수학적 규칙을 활용한 독창적인 생성 예술을 만듭니다. 시드로 같은 작품을 재현하고 조작 화면에서 수치를 바꾸며 표현을 탐색합니다.

• 코드로 독창적인 예술 작품 제작
• 입자와 흐름 표현 실험
• 시드와 수치를 바꿔 변화 비교

Create full-screen animated visuals with WebGL, a browser technology for GPU rendering. Combine shaders, 3D scenes, or particles with a text overlay, and deliver the result as one self-contained HTML file without external requests.

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• Create a website hero animation
• Build generative art with a headline
• Prototype a 3D scene or particle field

Build hero pages and showcase sites with cinematic animations, AI-generated media through the MiniMax API, and generative art. This catalog entry introduces the frontend skill; running its complete workflow requires installing the upstream bundle.

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• Building a hero page with cinematic animation
• Creating a showcase site
• Using AI-generated media in a web page

Turn a theme into generative art, artwork created by computational rules, using p5.js. Receive a written artistic philosophy and an interactive HTML viewer with adjustable parameters, reproducible variations, and PNG download controls.

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• Creating generative art from a theme
• Exploring particle and flow-based compositions
• Comparing reproducible variations using seeds

Create original generative art with p5.js, including particle systems and flowing patterns. Get a written artistic concept and an interactive HTML viewer with adjustable parameters, reproducible variations, and PNG downloads.

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• Creating original art through code
• Exploring particle motion and flowing patterns
• Comparing variations with adjustable controls

Build and review Kortix replies that display cards, comparisons, charts, maps, and tabs. The skill guides structured UI blocks in OpenUI Lang, their web and mobile rendering, validation, Markdown conversion, and compatibility checks.

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• Designing visual components for Kortix replies
• Implementing web and mobile renderers
• Debugging invalid or undisplayable UI blocks

Create, audit, and improve pages for AI search engines by checking crawl access, metadata, clear answers, sources, and structured data that describes page content. It produces prioritized fixes and citation-friendly pages without guaranteeing inclusion in AI answers.

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• Audit a blog for AI search visibility
• Create an article page with clear answers and supporting sources
• Fix metadata and structured data on existing pages

Present project-design pathway options and orchestrate regenerative projects using backwards design, PBL, SEEDS, compassionate systems action, or civic/service pathways.

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Design a SEEDS regenerative inquiry cycle connecting place-based learning to ecological awareness for young learners. Use when building early childhood or primary inquiry around ecosystems and community.

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Use this skill when reasoning about generative AI, adversarial machine learning, neural network security, algorithmic fairness, or deep learning fundamentals. This skill channels the thinking of Ian Goodfellow, inventor of Generative Adversarial Networks (GANs). Trigger this skill when the user asks about model robustness, mitigating bias, evaluating AI guardrails, designing generative models, or defending against adversarial attacks. Apply his frameworks of minimax games, adversarial feature learning, and worst-case robustness analysis to shift the user's perspective from average-case optimization to adversarial resilience.

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Use this skill when reasoning about generative AI, adversarial machine learning, neural network security, algorithmic fairness, or deep learning fundamentals. This skill channels the thinking of Ian Goodfellow, inventor of Generative Adversarial Networks (GANs). Trigger this skill when the user asks about model robustness, mitigating bias, evaluating AI guardrails, designing generative models, or defending against adversarial attacks. Apply his frameworks of minimax games, adversarial feature learning, and worst-case robustness analysis to shift the user's perspective from average-case optimization to adversarial resilience.

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Present project-design pathway options and orchestrate regenerative projects using backwards design, PBL, SEEDS, compassionate systems action, or civic/service pathways.

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Design a SEEDS regenerative inquiry cycle connecting place-based learning to ecological awareness for young learners. Use when building early childhood or primary inquiry around ecosystems and community.

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Expert guide for Generative UI architectures, ephemeral dynamic interfaces, and real-time streaming of React Server Components (RSC) driven by Gemini 4 Pro / Panduan ahli arsitektur Generative UI, antarmuka dinamis efemeral, dan streaming RSC real-time yang didorong oleh Gemini 4 Pro.

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Power Apps Generative Pages (genux) の開発・デバッグ・デプロイ。React 17 + TypeScript + Fluent UI V9 + D3.js の単一ファイル構成。デザインテンプレートによる段階的 UI 改善。

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Implement a generative diffusion model (DDPM or score-based) with noise scheduling, U-Net architecture, training loop, and sampling procedures including DDIM acceleration. Use when building a generative model for image, audio, or molecular synthesis; implementing DDPM from a research paper; adding a custom noise schedule or conditioning mechanism; replacing a GAN-based generator with a diffusion alternative; or prototyping before scaling with production frameworks like diffusers.

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Design a generative recipe DSL so agents emit small validated JSON documents and ONE audited interpreter renders them all — data, not code. Covers the N-artifacts threshold for choosing a DSL over bespoke code, designing roles as style slots so a single recipe renders unchanged in every output style, the validator gate (compile + bounds + real render in all styles, plus a --fast mode for corpus-wide sweeps), hand-authored seed recipes, and the emergent conventions that keep a corpus of hundreds consistent without per-item steering. Use when many similar artifacts (icons, status badges, diagram nodes, test fixtures) must be generated by agents, when per-item bespoke code is multiplying unreviewable code paths, or when a whole corpus must be re-rendered cheaply into new styles.

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Create generative art, or images made with programmed rules, using p5.js. Fixed random seeds make each rendering reproducible, supporting procedural posters, still images that suggest motion, and studies of artistic frame composition.

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• Posters generated with programmed rules
• Still images that suggest motion
• Studies of artistic frame composition

Write SQL that uses BigQuery’s built-in machine learning and generative AI for forecasting, anomaly detection, identifying drivers of change, searching by meaning, and classifying or summarizing text stored in your data.

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• Forecasting future values from time-series data
• Detecting anomalies and investigating drivers of change
• Searching documents by meaning

Create original generative art with p5.js, using code to produce patterns and motion. Receive a written artistic concept and an interactive HTML viewer with adjustable parameters, reproducible random variations, seed navigation, and PNG downloads.

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• Create art from particle motion and flow fields
• Explore patterns by adjusting sliders
• Reproduce a favorite variation with the same seed