Results for “dia”

Generate technical architecture diagrams, pipeline flows, layer/stack diagrams, and system illustrations as standalone HTML files. Uses a dark-mode design system with embedded CSS and inline SVG. Use when the user needs architecture diagrams, system illustrations, flow charts, or technical visualizations.

Generates diagrams and visuals from code or descriptions, routing to specialized tools for hand-drawn, formal, academic, or architectural output.

Generate multi-speaker dialogue audio with different voices in a single file using the inference.sh CLI.

Generate draw.io diagrams as .drawio files and export them to PNG, SVG, or PDF with embedded XML.

Turn any text into a faceless explainer video with typography, abstract graphics, diagrams, and data visualization.

Creates, edits, and converts vector graphics and diagrams using LibreOffice Draw, supporting ODG, SVG, PDF, and PNG formats.

Creates, edits, and converts vector graphics and diagrams using LibreOffice Draw, supporting ODG, SVG, PDF, and PNG formats.

Draws a flowchart as a whiteboard-style sticky-note diagram with SVG curves, handwritten fonts, and hover interactions.

Generates illustrations, diagrams, flowcharts, infographics, thumbnails, comics, and icons using multiple rendering backends, with workflows for various visual content types.

Creates illustrations, diagrams, and visual content with workflows for various formats, routing to specialized processes and outputting to Downloads for preview.

Add visual callouts like rectangles, arrows, and labels to screenshots, diagrams, and images using PIL/Pillow, with support for animated GIF annotations.

Design Azure infrastructure using natural language or analyze existing resources to generate architecture diagrams, refine them through conversation, and deploy with Bicep.

Route academic-figure work into the lightest workable PaperBanana mode instead of jumping straight to a full multi-agent generation run. Use when the user needs publication-quality methodology diagrams, statistical plots, figure evaluation, polishing an existing figure, batch/sweep generation, or a full-paper figure package from text or PDF. Even if the user does not say "paperbanana" — also triggers on: academic figure, methodology diagram, publication figure, generate diagram from paper, statistical plot from CSV, figure evaluation, polish figure, NeurIPS/ICML figure, arxiv illustration, plan-then-refine diagram pipeline.

Generate publication-quality AI illustrations for academic papers using Gemini image generation. Creates architecture diagrams, method illustrations with Claude-supervised iterative refinement loop. Use when user says "生成图表", "画架构图", "AI绘图", "paper illustration", "generate diagram", or needs visual figures for papers.

Creates complete AEM components with dialog, HTL template, Sling Model, unit tests, and clientlibs. Supports extending Core Components and project components, and can translate Figma designs into pixel-perfect HTL, CSS, and JS.

Transforms a lifestyle photo into a polished chibi clone sticker diary image, preserving the original person photorealistically while adding 5-8 kawaii mini-clones, scrapbook doodles, and handwritten-style captions.

Creates technical explainer animations with Manim, covering graphs, workflows, and system diagrams, and produces storyboards, scene plans, and rendered MP4s.

Generate breadboard circuit mockups and visual diagrams for retro computing and electronics projects using HTML5 Canvas.

Generates copyable scientific figure prompts from research documents, papers, and reference images for AI illustration models.

Create animated technical explainers using Manim for graphs, workflows, system diagrams, and product walkthroughs with precise motion and clear scene planning.

Generate React Spectrum UI components for Adobe Experience Cloud Shell SPAs and AEM UI Extensions, including pages, forms, data tables, dialogs, and navigation.

Design system architecture, evaluate microservices vs monolith, create architecture diagrams, analyze dependencies, choose databases, and make technical decisions with architecture decision records.

Design user flows and screen structure using UX patterns like progressive disclosure, hub-and-spoke navigation, and information pyramids to create coherent user journeys before building screens.

Generates explanatory illustrations for Chinese in-depth articles using a fixed IP character library, following a structured method of cognitive anchor selection, metaphor creation, and anti-PPT self-check.

Creates a consistent minimalist hand-drawn illustrated character from user-provided photos or profile materials, then generates content visuals like knowledge cards, posters, storyboards, and presentation slides featuring that character alongside helper agents.

Turn arbitrary text — an article, notes, a topic, a brief — into a faceless explainer video: there is no site or footage to capture, so the visuals are invented per scene (typography, abstract graphics, diagrams, data-viz). Use for topic explainers, concept breakdowns, how-tos, listicles. Not a video built from a website (/product-launch-video — promo or tour). Unclear → /hyperframes.

Massimo Vignelli's complete design discipline, distilled from The Vignelli Canon. Encodes the Intangibles (semantics, discipline, appropriateness, timelessness, equity) and the Tangibles (the grid, the six basic typefaces, a two-size type scale, rulers, primary-color-as-identifier, white space) into an applyable method, plus the railway-signage module logic from his Grandi Stazioni and NYC Subway work, a deterministic token generator, and production notes for taking the system from code into images and the real world. Use when: designing or critiquing any visual artifact that should read as disciplined, timeless, or Swiss-modernist — brand and identity systems, design systems and style guides, editorial, book, and poster layouts, and especially transit/wayfinding signage and route diagrams. Triggers: Vignelli, design system, identity system, brand guidelines, wayfinding, transit signage, subway map, route diagram, poster layout, timeless typography, 品牌规范, 导视系统.

Mandatory entry point: read this first for any request to make, create, edit, animate, or render a video, animation, or motion graphic, including a promo, explainer, captioned clip, title card, overlay, slideshow or interactive deck, Remotion port, or any HyperFrames HTML composition. Also use it to inspect, diagnose, validate, preview, publish, or batch-render an existing HyperFrames project. Inputs may be a website URL, GitHub PR, Figma design or URL, text or brief, existing footage, or music. It resumes project state, captures intent when applicable, selects and installs the owning workflow, and routes domain capabilities. HyperFrames is the default output framework unless the user explicitly chooses another framework for the deliverable or asks only to record a browser session.

Generate images with Google Nano Banana 2 (Gemini-family flash-tier text-to-image) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Nano Banana 2's strengths (rapid iteration, in-image typography rendering, predictable framing, optional web-grounded context), the resolution-tier pricing, the safety-tolerance dial, and when to route to Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream instead. Calls `runcomfy run google/nano-banana-2/text-to-image` through the local RunComfy CLI. Triggers on "nano banana", "nano-banana-2", "nano banana 2", "google image gen", "gemini image", or any explicit ask to generate with this model.

Generate images with Google Nano Banana 2 (Gemini-family flash-tier text-to-image) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Nano Banana 2's strengths (rapid iteration, in-image typography rendering, predictable framing, optional web-grounded context), the resolution-tier pricing, the safety-tolerance dial, and when to route to Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream instead. Calls `runcomfy run google/nano-banana-2/text-to-image` through the local RunComfy CLI. Triggers on "nano banana", "nano-banana-2", "nano banana 2", "google image gen", "gemini image", or any explicit ask to generate with this model.