huashu-design

Product Introduction

1. Definition: Huashu Design 3.0 is an AI-powered design agent skill, a command-line tool that integrates directly into AI coding assistants like Claude Code, Cursor, and GitHub Copilot. It is a text-to-design generator that produces production-ready, HTML-native design assets from a single text prompt.
2. Core Value Proposition: It exists to eliminate slow, iterative design workflows by instantly generating multiple high-fidelity design directions. Its core value is delivering "finished design" assets—such as interactive prototypes, editable presentations, and animations—directly within a developer's existing AI coding workflow, bypassing traditional design software like Figma or After Effects.

Main Features

1. Multi-Format Design Generation: The skill generates deliverables across five key formats from a text prompt. For interactive App/Web prototypes, it creates single-file HTML with precise iPhone 15 Pro bezels, state-driven screen navigation, and Playwright-verified clickable elements. For presentations, it builds HTML decks for browser-based presenting and exports to fully editable PPTX files where text boxes are preserved. For motion design, it uses a Stage + Sprite timeline model with APIs (useTime, useSprite, interpolate, Easing) to produce MP4 videos (with optional 60fps interpolation and BGM) and optimized GIFs. It also creates infographics with print-ready typography and design variants with parameterized tweaks (color, typography, density) managed via a side panel.
2. Design Direction Advisor with 84-Style Library: When faced with vague prompts, it activates a fallback workflow. It generates six thumbnail candidates using three complementary logics: "Best Designer" (emulating top designers), "Real-World Reference" (analyzing award-winning works in the same medium via scripts/ref_board.py), and "Second Wheel" (random selection from its style library). The user picks three to develop into full-fidelity designs. This is powered by an 84-style HTML-native library (20 Web, 20 PPT, 20 Infographic, 12 App, 12 Chinese & East Asian), each with a visual specimen, ensuring output avoids generic "AI slop."
3. Brand Asset Protocol & Context-Aware Learning: For projects involving specific brands, it enforces a strict 5-step protocol: ask for guidelines, search official brand pages, download assets (SVG, HTML, screenshots), extract color values via grep, and solidify a brand-spec.md. This ensures designs are context-aware. It also maintains a local ~/.huashu-design/ database containing an Aesthetic Ledger (to avoid visual repetition across projects) and a Design Lint (scripts/design_lint.py) that performs factual checks (broken images, low contrast, console errors) and a Learning module (scripts/learn.py) that records user preferences and past lessons to inform future work.

Problems Solved

1. Pain Point: It solves the bottleneck between ideation and high-fidelity visual assets. The traditional process requires switching contexts to design tools, possessing design skills, or managing lengthy feedback loops. Huashu Design collapses this into a single step within the developer's terminal.
2. Target Audience: Primary users are developers and technical teams using AI coding assistants (Claude Code, Cursor, Codex) who need to quickly visualize ideas, create prototypes for stakeholder reviews, or produce marketing assets without leaving their workflow. Secondary users include product managers, founders, and content creators who need to rapidly produce presentation decks, explainer animations, or concept visuals.
3. Use Cases: Essential for: Rapid Prototyping (transforming a feature idea into a clickable app mockup in 10-15 minutes), Product Launch (creating a launch animation or website hero section), Internal Presentations (generating a styled, editable PPTX for a project briefing), Concept Visualization (turning a complex idea into an infographic or timeline), and Design Exploration (getting three distinct visual directions for a new project before committing resources).

Unique Advantages

1. Strengths & Limitations (Pros & Cons):
   • Pros: Unmatched speed from prompt to deliverable; deep integration into AI coder workflows; produces multiple, distinct, high-quality directions; strong anti-"AI slop" mechanics with a vast style library; local-first operation for core rendering (no API calls for MP4/PDF/PPTX export); learns user preferences over time.
   • Cons: Output is HTML/CSS/JS, not layered design files (e.g., .fig for Figma). Complex animations (3D, physics) are beyond its scope. Design quality for a completely blank-slate brand (with no provided assets) may drop to ~65/100. It is an 80/100 skill optimized for speed and integration, not a 100/100 replacement for a professional designer or a full GUI design tool.
2. Key Alternatives & Differentiation:
   • Claude Design (by Anthropic): A GUI-based web application. Differentiation: Huashu Design is a skill that runs inside coding agents, uses no quota system, exports to more formats (MP4, editable PPTX), has a more advanced animation engine, and works across any skill-compatible agent. Claude Design is a more polished graphical tool; Huashu Design aims to make the tool layer disappear.
   • Traditional Design Tools (Figma, Canva): Manual, GUI-driven design platforms. Differentiation: Huashu Design is prompt-driven and agent-native, offering instant generation and iteration without manual manipulation. It trades granular layer control for generative speed and AI-directed exploration.
   • Other AI Design Generators (e.g., Galileo, Visily): Often focused on single outputs (e.g., turning a screenshot into a design) or require their own dedicated interface. Differentiation: Huashu Design's core differentiator is its Design Direction Advisor (6 thumbnails -> 3 directions) and Brand Asset Protocol, which systematically elevates output quality and consistency beyond first-draft generation.

Frequently Asked Questions (FAQ)

1. Is Huashu Design free for commercial use? Yes. Since May 14, 2026, Huashu Design has been released under the MIT License. This means it is completely free for both personal and commercial use, including use in enterprise projects, client deliverables, or commercial products, with no prior authorization required.
2. How do I install and use Huashu Design with Claude Code or Cursor? Install via the skills CLI using the command npx skills add alchaincyf/huashu-design. After installation, simply converse with your AI coding agent (e.g., in Claude Code) and give a prompt like "Create a clickable iOS app prototype for a habit tracker." The agent will use the skill to generate the design.
3. What are the system requirements for running Huashu Design locally? You need Node.js and an AI coding assistant that supports skills (Claude Code, Cursor, etc.). For full functionality including video export, ffmpeg must be installed on your system. The core design-to-render pipeline runs 100% locally.
4. Can Huashu Design use my company's brand colors and logo? Yes, through its enforced Brand Asset Protocol. When you mention a brand name, the agent will proactively search for, download, and extract official brand assets (colors, logos) to create a brand-spec.md file, ensuring the generated designs adhere to your brand guidelines.
5. How does Huashu Design avoid generating generic-looking "AI design"? It employs multiple strategies: a library of 84 distinct, HTML-native style specimens; a process that generates six candidate directions from different logics before finalizing three; an "Aesthetic Ledger" that tracks past project visuals to prevent repetition; and explicit rules against common AI visual tropes (purple gradients, emoji icons, certain template decorations).