Results for “go”

Generates images from text prompts using Google Gemini's image generation model, saving them as PNG files for use in UI, documentation, and design assets.

Generates images from text prompts using Google Gemini's image generation model, saving them as PNG files for use in UI, documentation, and design assets.

Builds Google Stitch UI projects and generates screens from feature descriptions or export files by calling Stitch MCP tools directly, following Stitch prompting best practices.

Generates images from text prompts using Google Gemini's image generation model, saving them as PNG files for use in UI, documentation, and design projects.

Generates DESIGN.md files for Google Stitch that encode premium, anti-generic UI standards including typography, color, layout, motion, and anti-patterns.

Generates DESIGN.md files for Google Stitch that encode premium, anti-generic UI standards including typography, color, layout, motion, and anti-patterns.

Create app store screenshots and preview videos for Apple App Store and Google Play with exact platform specs, device mockups, and gallery ordering guidance.

Generate a high-converting ad creative set — hero image, ad copy variations, and platform-optimized crops for Meta, Google Display, and LinkedIn.

Define or refactor a shared frontend UI system by establishing token governance, visual-language rules, primitive naming, and cross-product consistency before polishing individual screens.

Generate walkthrough videos from Stitch projects using Remotion with smooth transitions, zooming, and text overlays.

Write clear design rationale that connects decisions to user needs, business goals, and principles.

Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files.

Author, lint, diff, and export Google's DESIGN.md design token spec files, including WCAG contrast validation.

Integrate and customize shadcn/ui components with full ownership, including discovery, installation, theming, and best practices.

Guides engine selection and platform-specific principles for PC and console game development, covering Steam integration, controller support, and performance optimization.

Places generated images into realistic device and print mockups such as laptops, phones, books, posters, and billboards for marketing previews and presentations.

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.

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.

Converts Stitch designs into modular Vite and React components, or syncs existing components to match updated designs.

Creates a structured design brief covering project overview, problem statement, target audience, goals, scope, context, deliverables, and timeline.

Create refined user personas from research data with demographics, goals, frustrations, and behavioral patterns for product and UX design decisions.

Generate new design screens from text prompts or images, edit existing screens, and create design variants using Stitch MCP.

Upload local assets (images, mockups, extracted HTML, design markdown) to a Stitch project, bypassing MCP tool base64 token limits.

Advocate for design quality, scope, and time with cross-functional partners and leadership using evidence and shared goals.

Convert frontend code (Vite, React, etc.) into a Stitch Design by extracting static HTML, analyzing the design system, and uploading to Stitch.

Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.

Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.

Design the small details—triggers, rules, feedback, loops, and modes—that separate good products from great ones, based on Dan Saffer's framework.

Builds and governs design systems with a three-layer token architecture, component specs, and design-to-code handoff, including slide generation.