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Design
Skills Found
ai-video-generation
Generate AI videos with Google Veo, Seedance, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 1.5 Pro, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text to video, image to video, veo, animate image, video from image, ai animation, video generator, generate video, t2v, i2v, ai video maker, create video with ai, runway alternative, pika alternative, sora alternative, kling alternative
background-removal
Remove backgrounds from images with BiRefNet via inference.sh CLI. Model: BiRefNet (high accuracy background removal). Use for: product photos, portraits, e-commerce, transparent PNGs, photo editing. Triggers: remove background, background removal, remove bg, transparent background, cut out image, background remover, rembg, product photo editing, cutout, transparent png, bg removal, photo cutout
ux-researcher-designer
Generates data-driven user personas from behavioral data and interview insights. Includes archetype identification, psychographic analysis, scenario generation, and design implications. Outputs formatted personas with confidence scoring based on sample size.
design-review
Visual QA that finds inconsistency, spacing issues, hierarchy problems, and AI slop patterns with auto-fixes.
design-mastery
This skill provides a context-aware design system for AI agents. It maps business types to specific design profiles, includes an anti-AI detection checklist to avoid generic outputs, and enforces consistent design tokens. It's triggered during UI creation tasks to ensure professional, non-AI-looking interfaces.
flux-image
Generate images with FLUX models (Black Forest Labs) via inference.sh CLI. Models: FLUX Dev LoRA, FLUX.2 Klein LoRA with custom style adaptation. Capabilities: text-to-image, image-to-image, LoRA fine-tuning, custom styles. Triggers: flux, flux.2, flux dev, flux schnell, flux pro, black forest labs, flux image, flux ai, flux model, flux lora
background-removal
Remove backgrounds from images with BiRefNet via inference.sh CLI. Model: BiRefNet (high accuracy background removal). Use for: product photos, portraits, e-commerce, transparent PNGs, photo editing. Triggers: remove background, background removal, remove bg, transparent background, cut out image, background remover, rembg, product photo editing, cutout, transparent png, bg removal, photo cutout
aesthetic
This skill provides a structured four-stage framework for creating and evaluating UI designs. It guides users from aesthetic analysis to functional implementation, micro-interactions, and storytelling. It integrates with other MCP tools for screenshot capture and AI image generation/analysis, offering concrete workflows for design iteration.
in-app-messaging-kit
Provides structured templates for in-app messaging design, covering triggers, patterns, targeting rules, and measurement. Offers practical guidance for onboarding flows, feature announcements, and user engagement campaigns with localization considerations.
image-upscaling
Upscale and enhance images with Real-ESRGAN, Thera, Topaz, FLUX Upscaler via inference.sh CLI. Models: Real-ESRGAN, Thera (any size), FLUX Dev Upscaler, Topaz Image Upscaler. Use for: enhance low-res images, upscale AI art, restore old photos, increase resolution. Triggers: upscale image, image upscaler, enhance image, increase resolution, real esrgan, ai upscale, super resolution, image enhancement, upscaling, enlarge image, higher resolution, 4k upscale, hd upscale
ui-template-library
Captures visual design patterns from HTML mockups as structured prose descriptions, then applies those aesthetic 'vibes' to generate new mockups for different plugins with adaptive layouts. Manages a library of aesthetic templates with CRUD operations.
apple-hig-designer
This skill provides guidance for designing iOS apps following Apple's Human Interface Guidelines. It helps generate native components, validate designs for compliance, and ensure accessibility features like VoiceOver and Dynamic Type are implemented correctly. The documentation includes specific code examples for SwiftUI components, navigation patterns, and design principles.