Design intelligence skills for AI coding agents — UI generation, design systems, prototyping, mockup-to-code via Google Stitch, Claude Design, and more.
AI Design Tools tools are AI-powered software designed to help developers and teams tackle ai design tools-related tasks more efficiently. These tools are typically published as open-source projects on GitHub and can be integrated into existing workflows via MCP (Model Context Protocol), Claude Skills, or standalone agent frameworks. On Agent Skills Hub, we index 30 quality-scored ai design tools tools across languages including TypeScript, HTML, Python.
In 2026, the AI agent ecosystem is maturing rapidly. AI Design Tools tools can significantly boost development efficiency by automating repetitive tasks, reducing human error, and providing intelligent suggestions. The top 3 tools — open-design, Figma-Context-MCP, huashu-design — have earned an average of 8,419 GitHub stars, reflecting strong community validation. 27 of the listed tools come with clear open-source licenses, ensuring freedom to use and modify.
When choosing a ai design tools tool, consider these factors: 1) Community activity — GitHub stars and recent commit frequency indicate reliability; 2) Integration method — check if it supports MCP, Claude, or your preferred agent framework; 3) Language compatibility — the most common language in this list is TypeScript; 4) Quality score — Agent Skills Hub's composite score evaluates code quality, documentation completeness, and maintenance activity. Our recommendation: start with open-design — it ranks highest in both star count and quality score.
🎨 Best DeepSeek Harness Design Plugin. The open-source Claude Design alternative. 🖥️ Local-first desktop app. 🖼️ Your coding agent becomes the design engine: prototypes, landing pages, dashboards, slides, images & video — real files, HTML/PDF/PPTX/MP4 export. 🤖 Claude Code / Codex / Cursor / DeepSeek Harness / OpenCode & 20+ CLIs via BYOK.
MCP server to provide Figma layout information to AI coding agents like Cursor
Huashu Design · HTML-native design skill for Claude Code · Claude Code 里 HTML 原生的设计 skill · 高保真原型 / 幻灯片 / 动画 + 20 设计哲学 + 5 维评审 + MP4 导出 · Agent-agnostic
A library of Agent Skills designed to work with the Stitch MCP server. Each skill follows the Agent Skills open standard, for compatibility with coding agents such as Antigravity, Gemini CLI, Claude Code, Cursor.
Open-source Claude Design alternative. One-click import your Claude Code / Codex API key. Prompt → prototype / slides / PDF. Multi-model (Claude, GPT, Gemini, Kimi, GLM, Ollama). BYOK, local-first, MIT.
一句话生成大师级海报、书籍封面、专辑封面和各类设计作品。无需懂PS、配色或艺术史，AI自动选择最佳风格（基于20位传奇海报设计师）。支持电影海报、读书笔记、公众号封面、小红书配图等。默认9:16竖版，完美适配社交媒体。包含AI提示词优化、风格对比、图生图转换功能。触发词："Mondo风格"、"书籍封
Turn reference UIs (images, screenshots, URLs) into quantified Design DNA JSON—tokens, qualitative style, visual effects—then generate matching UI from your content.
```bash
npx skills add zanwei/design-dna
```List of 67 awesome DESIGN.md and SKILL.md design skill files for agentic tools like Claude Design, Google Stitch, Codex, Cursor, and other AI tools
Run Claude Design locally as an Agent Skill — Cursor, Claude Code & more. Produce polished UI mockups, prototypes, decks & wireframes as self-contained HTML, without claude.ai/design. Best with Opus or Claude.
🎨 Open-source design MCP server + shadcn/ui registry — AI design systems for Claude Code, Cursor, Codex, GitHub Copilot & any MCP client. 31 brand-grade themes (Linear, Stripe, Vercel, Notion, Apple, Supabase, Figma…) + design tokens, UI principles & WCAG rules. Install any component with one command.
Claude Design DESIGN.md prompts by aesthetic family, remix recipes, skills, video teardowns, X signal, honest community takes.
Awesome Claude Design: 68 ready-to-use design system inspirations in DESIGN.md format. Drop one in, scaffold a full UI in one shot.
偏执型设计顾问：反 AI 味设计 + 风格试衣间 + 58 站设计系统库的 Claude Code Skill | Opinionated design advisor for Claude Code: anti-generic UI, style fitting room, 58 real-site design systems.
Give your AI coding agent a design system. One command installs 400+ quality-graded company DESIGN.md references + skills into Claude Code, Codex, Cursor, and OpenCode. Free, MIT, zero AI calls.
A reusable Agent Skill for designing, reviewing, and implementing UI/UX with Google Material Design 3, Material You, M3 Expressive, accessibility, adaptive layouts, and semantic design tokens.
Frontend design skill for Claude Code, Codex, and Gemini CLI. Eight aesthetic anchors, each locking palette, typography, and texture to specific CSS tokens. Pick one per brief.
```bash
git clone https://github.com/Ilm-Alan/frontend-design.git ~/.claude/skills/frontend-design
```Stop Claude Code/Cursor from guessing UI. Extract any website's design system into a spec-valid DESIGN.md that passes the official @google/design.md linter.
On-demand design systems from any URL. Five surfaces, one agent: web, API, CLI, TypeScript SDK, and a portable agent skill that runs inside Claude Code, Codex, and Cursor.
Extract any website's complete design system with one command. DTCG tokens, semantic+primitive+composite, MCP server for Claude Code/Cursor/Windsurf, multi-platform emitters (iOS SwiftUI, Android Compose, Flutter, WordPress), Tailwind v4, Figma variables, shadcn/ui, CSS health audit, WCAG remediation, Chrome extension. MIT, Playwright, Node 20+.
Build better UI with AI
```bash
npx typeui.sh --help
```Turn Claude into a senior design architect: DTCG tokens, 50 components, WCAG 2.2 AA-AAA, 138 design systems, any-framework code, and 43 objective gates that fail the build instead of faking success.
The design skill for Claude Code, Cursor and any coding agent. Stop shipping AI-slop UI: turn it into shippable, tasteful frontend. Install: npx skills add superdesigndev/superdesign-skill. Powered by superdesign.dev
Comprehensive UI/UX and Backend component design skills for AI-assisted development with Claude
Inspect, build, or extend Figma design systems from Claude Code. Read-only audits with WCAG checks and component scoring, build mode with variable bindings and slots, optional Phase 6 sync to tokens.css + AI rules.
Your design system as an API. Connect AI to Figma for extraction, creation, and debugging.
I'm your specialized design systems assistant. Ask me about components, tokens, patterns, and best practices.
AI Design Skills Collection: agentic skills, commands, and plugins for designing AI products — from interaction patterns to alignment, evaluation, agent orchestration, and prompt architecture.
Open-source design-method engine for Claude Code, Codex & Cursor. 23 agent skills for fixed design judgment, multiple grammars, semantic palettes, reference compilation, and evidence-verified UI. MIT.
Documented system prompts from Anthropic - Claude Fable 5.1, Opus 5.5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro, Antigravity. xAI - Grok, Grok Bot, Cursor, Kimi and more! Updated regularly.
| Tool | Stars | Language | License | Score |
|---|---|---|---|---|
| open-design | ★ 97.7k | TypeScript | Apache-2.0 | 76 |
| Figma-Context-MCP | ★ 15.9k | TypeScript | MIT | 74 |
| huashu-design | ★ 24.4k | HTML | MIT | 74 |
| stitch-skills | ★ 8.1k | TypeScript | Apache-2.0 | 83 |
| open-codesign | ★ 8.0k | TypeScript | MIT | 75 |
| qiaomu-mondo-poster-design | ★ 1.2k | Python | MIT | 47 |
| logo-generator-skill | ★ 2.1k | HTML | — | 59 |
| design-dna | ★ 1.5k | JavaScript | MIT | 76 |
| awesome-design-skills | ★ 2.8k | — | MIT | 69 |
| baoyu-design | ★ 4.2k | JavaScript | MIT | 65 |
| better-design | ★ 244 | TypeScript | MIT | 68 |
| awesome-claude-design | ★ 973 | — | MIT | 62 |
| awesome-claude-design | ★ 3.8k | — | MIT | 71 |
| qiaomu-design | ★ 567 | JavaScript | MIT | 63 |
| oh-my-design | ★ 494 | JavaScript | MIT | 68 |
| material-design-3-ui-skill | ★ 80 | PowerShell | MIT | 74 |
| frontend-design | ★ 105 | — | MIT | 57 |
| brandmd | ★ 60 | JavaScript | MIT | 71 |
| getdesign | ★ 50 | TypeScript | MIT | 59 |
| design-extract | ★ 4.1k | HTML | MIT | 71 |
| typeui | ★ 2.0k | TypeScript | — | 67 |
| ux-ui-agent-skills | ★ 1.4k | JavaScript | MIT | 70 |
| superdesign-skill | ★ 436 | JavaScript | MIT | 74 |
| ai-design-components | ★ 503 | Python | MIT | 43 |
| work-with-design-systems | ★ 51 | JavaScript | MIT | 70 |
| figma-console-mcp | ★ 2.3k | TypeScript | MIT | 73 |
| design-systems-mcp | ★ 211 | TypeScript | — | 64 |
| ai-design-skills | ★ 173 | Python | MIT | 58 |
| styleseed | ★ 956 | JavaScript | MIT | 69 |
| system_prompts_leaks | ★ 68.1k | JavaScript | CC0-1.0 | 77 |
The top ai design tools in 2026 are open-design, Figma-Context-MCP, huashu-design. Agent Skills Hub ranks 30 options by GitHub stars, quality score (6 dimensions including completeness, examples, and agent readiness), and recent activity. The list is rebuilt every 8 hours from live GitHub data.
open-design (97.7k stars) is the most adopted choice for general ai design tools workflows, written in TypeScript. Figma-Context-MCP (15.9k stars) is a strong alternative. Pick by your existing stack: match the language and runtime your team already uses to minimize integration cost. If unsure, start with open-design — it has the deepest community and the most examples online.
Avoid pre-built ai design tools when (1) your use case requires deep customization that the tool's plugin system doesn't support, (2) you have strict compliance requirements that ban third-party dependencies, (3) the tool's maintenance is inactive (last commit >6 months ago), or (4) your data volume is small enough that a 50-line custom script is cheaper than learning the tool. For most production workflows above 100 requests/day, the time savings from a maintained tool outweigh the customization loss.
AI Design Tools focuses specifically on design intelligence skills for ai coding agents — ui generation, design systems, prototyping, mockup-to-code via google stitch, claude design, and more. AI Web Development is a related but distinct category — see https://agentskillshub.top/best/web-development/ for those tools. The two often appear in the same agent pipeline but solve different problems: choose ai design tools when your primary goal is the specific task, and ai web development when the workflow is broader.
For most teams, yes. open-design has 97.7k stars worth of community testing, handles edge cases you haven't thought of, and ships with documentation. Build your own only when (1) your requirements are deeply non-standard, (2) you have a security/compliance reason to avoid OSS dependencies, or (3) the maintenance burden is small enough (<200 lines of code) that you'll save time long-term. The break-even point is usually around 2-3 weeks of dev time saved.
Most ai design tools listed are open source under permissive licenses (MIT, Apache 2.0). A handful offer paid managed/cloud versions on top of free self-hosted core. Always check the LICENSE file on each tool's GitHub repository before commercial use — some use AGPL or non-commercial restrictions that may not fit your deployment model.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: