Frontend & Design for Claude Code

Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI. Models: Qwen-Image-2.0 (fast), Qwen-Image-2.0-Pro (professional text rendering). Capabilities: text-to-image, multi-image editing, complex text rendering. Triggers: qwen image, qwen-image, alibaba image, dashscope image, qwen image 2, qwen image pro

Generate images with Alibaba Qwen-Image-2.0-Pro via inference.sh CLI. Professional text rendering, fine-grained realism, enhanced semantic adherence. Ideal for posters, banners, and text-heavy designs. Triggers: qwen image pro, qwen-image-pro, qwen 2 pro, alibaba image pro, dashscope pro, professional text rendering

Multi-slide carousel design for Instagram, LinkedIn, and Twitter/X with layout rules and hooks. Covers slide structure, text hierarchy, swipe psychology, and platform-specific specs. Use for: carousel posts, Instagram carousels, LinkedIn carousels, slide posts, educational content. Triggers: carousel, instagram carousel, linkedin carousel, slide post, carousel design, swipe post, multi-image post, carousel template, educational carousel, carousel content, instagram slides, linkedin slides

Film and video storyboarding with shot vocabulary, continuity rules, and panel layout. Covers shot types, camera angles, movement, 180-degree rule, and annotation format. Use for: video planning, film pre-production, ad storyboards, music video planning, animation. Triggers: storyboard, storyboarding, shot list, film planning, video planning, pre production, shot composition, camera angles, scene planning, visual script, animatic, storyboard panels, video storyboard

Tool lifecycle UI components for React/Next.js from ui.inference.sh. Display tool calls: pending, progress, approval required, results. Capabilities: tool status, progress indicators, approval flows, results display. Use for: showing agent tool calls, human-in-the-loop approvals, tool output. Triggers: tool ui, tool calls, tool status, tool approval, tool results, agent tools, mcp tools ui, function calling ui, tool lifecycle, tool pending

Declarative UI widgets from JSON for React/Next.js from ui.inference.sh. Render rich interactive UIs from structured agent responses. Capabilities: forms, buttons, cards, layouts, inputs, selects, checkboxes. Use for: agent-generated UIs, dynamic forms, data display, interactive cards. Triggers: widgets, declarative ui, json ui, widget renderer, agent widgets, dynamic ui, form widgets, card widgets, shadcn widgets, structured output ui

YouTube thumbnail design with specific dimensions, contrast rules, and mobile preview optimization. Covers safe zones, text placement, face expression psychology, and A/B testing. Use for: YouTube thumbnails, video cover images, click-through optimization. Triggers: youtube thumbnail, thumbnail design, video thumbnail, click through rate, ctr optimization, youtube cover, video cover image, thumbnail maker, thumbnail tips, youtube design, video preview image

| Generate marketplace product image cards through Higgsfield: compliant main image, secondary product images, and A+ style content modules. Use when the user asks for marketplace listing images, product detail cards, secondary product images, product infographics, lifestyle listing shots, A+ style content, marketplace image sets, or sales-ready product visuals. Backend owns marketplace compliance references and prompt templates; this skill only routes user intent to the CLI. NOT for generic bra

| Generate brand-quality product images through Higgsfield product-photoshoot prompt enhancement on GPT Image 2 / gpt_image_2. Entry point for professional brand/product visuals. Use when: "product photo", "studio shot", "lifestyle image", "Pinterest pin", "hero/banner", "carousel", "ad creative", "Meta ads", "virtual try-on", "model wearing", "person holding product", "closeup with hands", "levitating/floating/splash product", "CGI/surreal product", "restyle", "seasonal/aesthetic variation", or

| Train a Soul Character — a personalized model on a person's face that Higgsfield uses for identity-faithful image and video generation. Use when: "create my Soul", "train my face", "make my digital twin", "build me an avatar", "learn my appearance", "create a character of me", "set up identity for video", "I want my face in generated images". Chain: train Soul (one-time, returns reference_id) → use in higgsfield-generate via `--soul-id <id>` with models like `text2image_soul_v2` or `soul_cinem

Motion-Graphics Builder

Finalize / repair subagent

Setup Tailwind v4 + shadcn/ui

Create polished, professional reveal.js presentations with themes, multi-column layouts, callout boxes, code highlighting, animations, speaker notes, and custom styling.

Render Mermaid diagrams as SVG and PNG using the Beautiful Mermaid library. Use when the user asks to render a Mermaid diagram.

Render Mermaid diagrams as SVG and PNG using the Beautiful Mermaid library. Use when the user asks to render a Mermaid diagram.

Generate and edit images using OpenAI's GPT Image 1.5 model. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports text-to-image generation and image editing with optional mask. DO NOT read the image file first - use this skill directly with the --input-image parameter.

Generate and edit images using Google's Nano Banana 2 (Gemini 3.1 Flash Image Preview) API. This skill should be used when the user asks to create or modify images, especially when they need fast iteration, explicit aspect-ratio control, or resolution control from 512px to 4K.

Generate and edit images using Google's Nano Banana 2 (Gemini 3.1 Flash Image Preview) API. This skill should be used when the user asks to create or modify images, especially when they need fast iteration, explicit aspect-ratio control, or resolution control from 512px to 4K.

Generate beautiful code snippet images using ray.so. This skill should be used when the user asks to create a code image, code screenshot, code snippet image, or wants to make their code look pretty for sharing. Saves images locally to the current working directory or a user-specified path.

Create, animate, and export pixel art using Aseprite through natural language and commands

skills-map router (picks which skill to use) + go-no-go Stage 0 gate (NO-GO is the default) + Spec → Plan → Build → Test → Review → Ship workflow + debug-hypothesis + wiki-aggregate + Tavily web search + Nano Banana image generation + frontend-design aesthetics guide + subagent-brief token discipline + build-until-pass self-correcting build loop.

Generate and edit images via fal.ai Nano Banana Pro or OpenAI GPT Image 2

Skill: Spectrum design tokens and component schemas, zero config. Uses the embedded Spectrum snapshot via the design-data CLI.

Skill: spec-conformant design token lookup, validation, diff, and authoring for any custom dataset via the design-data CLI.

Skill: Spectrum 2 component documentation on-demand. Fetches S2 design guidelines, component options, and usage patterns without loading a persistent MCP server.

Builder of interactive D3 visualizations for the learnbiostats docs/ GitHub Pages site. Turns an evergreen genetics/genomics claim into a teaching figure — a takeaway-stating title, an annotation layer, a guided reading order, and the one interaction that teaches — by applying the genomics-viz skill, and delegates design critique to the cognitive-design-architect agent before publish. Use to "visualize Hardy-Weinberg", "build a drift sim", build or revise a docs/ figure, or plan the site's viz g

An orchestrating agent that collaboratively helps designers apply cognitive science principles to create effective visual interfaces, data visualizations, educational content, and presentations. Guides users through cognitive foundations, information architecture, D3 visualization implementation, storytelling, design evaluation, and fallacy prevention. Use when user mentions cognitive design, visual hierarchy, dashboard design, data visualization, design review, cognitive load, or creating cogni

Generates the weekly static HTML dashboard for the household finance JSON store. Reads the canonical data files, applies cognitive-design principles for visual hierarchy and visual-storytelling-design for narrative annotations, runs cognitive-fallacies-guard to prevent visual misleads, and produces a single self-contained HTML file with six panels (net worth over time, cash flow, recurring & subscriptions, goals, asset allocation, vigilance feed). Output is a static file — no server, no live dat

Post-production overlays on top of a clip: AI-generated cover as first frame, HTML/CSS kinetic captions, illustration overlays, chapter chips, end-card CTA. HyperFrames-backed, single final encode.

Horizontal ↔ vertical conversion (16:9 ↔ 9:16, 4:3 ↔ 3:4). Crops a narrow band and tracks the active speaker via MediaPipe + mouth-aspect-ratio variance.

14 Apple HIG skills (foundations, platforms, patterns, inputs, technologies, and 8 component categories) plus an MCP server (hig_list_skills / hig_lookup / hig_audit) and a Bun-based CLI auditor that detects 348 HIG patterns across SwiftUI, UIKit, React, Vue, Svelte, Angular, Compose, Flutter, and React Native.

SwiftUI preview integration for AI coding. Capture, review, and iterate on SwiftUI views using axe CLI.

Audit and improve front-end usability using 15 established design principles. Acts as a Senior UX designer/engineer reviewing your interface end-to-end.

From zero knowledge to hero website. Four skills and 57 commands: design (siteasy), SEO, defect inspection, and a whole-site /audit orchestrator running 14 parallel sub-agents. GEO for AI search, stack-aware design-system generator, interactive live variant mode, report export, WCAG 2.2, image strategy, accessible forms, parallax, and motion.

Real-time communication and voice agent integration with LiveKit. Enables AI agents to participate in video, audio, and messaging sessions.

Chaos skill: chaos-design

UX designer — user flows, information architecture, wireframes, and interaction design

Information architecture — design navigation structure, content hierarchy, sitemap, and taxonomy for a product or feature set. Use when asked to "organize the navigation", "information architecture", "how should content be structured", "sitemap", "nav redesign", "where should X live", or "content hierarchy".

UI and UX reconnaissance — scan existing frontend routes, components, navigation, and flows to understand the current UX state before designing. Use when asked to "understand the current UI", "what UX patterns exist", "map the navigation", "what screens exist", or before starting any flow or wireframe work.