Creator · modu-ai
Last updated · Sep 2, 2026
Frontend development specialist covering React 19, Next.js 16, Vue 3.5, and modern UI/UX patterns with component architecture. Use when building web UIs, implementing components, optimizing frontend performance, or integrating state management.
Sandbox only
Install targets
Codex install prompt
Install the "moai-domain-frontend" agent skill from https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-domain-frontend. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Frontend development specialist covering React 19, Next.js 16, Vue 3.5, and modern UI/UX patterns with component architecture. Use when building web UIs, implementing components, optimizing frontend performance, or integrating state management. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"modu-ai-moai-domain-frontend","task":"Install moai-domain-frontend","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add modu-ai/moai-adk --skill moai-domain-frontend
Maintenance
fresh
6d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
1.2K
77/100 Quality · 82/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.2K GitHub stars
Repo activity
1.2K stars, 222 forks
Maintenance
6d since push
License
Apache-2.0
Install
npx skills add modu-ai/moai-adk --skill moai-domain-frontend
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add modu-ai/moai-adk --skill moai-domain-frontendDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
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Alternative
256.3K Stars
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Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20moai-domain-frontend%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20moai-domain-frontend%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/modu-ai-moai-domain-frontend/install
Agent should check
Copy prompt
Task: Use moai-domain-frontend in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20moai-domain-frontend%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/modu-ai-moai-domain-frontend/install
Install command: npx skills add modu-ai/moai-adk --skill moai-domain-frontend
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/modu-ai-moai-domain-frontend/install
LLM text format
/api/skills/modu-ai-moai-domain-frontend/install?format=text
Find alternatives
/api/skills/search?q=moai-domain-frontend&limit=3
Agent prompt
Use moai-domain-frontend for this task. Review https://www.openagentskill.com/api/skills/modu-ai-moai-domain-frontend/install, then install with: npx skills add modu-ai/moai-adk --skill moai-domain-frontendRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/modu-ai-moai-domain-frontend
LLM text
/api/registry/manifest/modu-ai-moai-domain-frontend?format=text
Install alias
/api/registry/install/modu-ai-moai-domain-frontend
Recommend
/api/registry/recommend?task=Use%20moai-domain-frontend%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS1.2K GitHub stars
Stars/forks activity
INFO1.2K stars, 222 forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: moai-domain-frontend description: > Frontend development specialist covering React 19, Next.js 16, Vue 3.5, and modern UI/UX patterns with component architecture. Use when building web UIs, implementing components, optimizing frontend performance, or integrating state management.
when_to_use: > Use for frontend development: React 19, Next.js 16, Vue 3.5 components, responsive UIs, TypeScript/JavaScript, state management, hooks, props, JSX/TSX, DOM, CSS, Tailwind, and client-side browser performance.
license: Apache-2.0 compatibility: Designed for Claude Code allowed-tools: Read, Grep, Glob user-invocable: false metadata: version: "2.1.0" category: "domain" status: "active" updated: "2026-03-28" tags: "frontend, react, nextjs, vue, ui, components" author: "MoAI-ADK Team" ---
# Frontend Development Specialist
## Quick Reference
Modern Frontend Development - Comprehensive patterns for React 19, Next.js 16, Vue 3.5.
Core Capabilities:
- React 19: Server components, concurrent features, cache(), Suspense - Next.js 16: App Router, Server Actions, ISR, Route handlers - Vue 3.5: Composition API, TypeScript, Pinia state management - Component Architecture: Design systems, compound components, CVA - Performance: Code splitting, dynamic imports, memoization, Framer Motion animations
When to Use:
- Modern web application development - Component library creation - Frontend performance optimization - UI/UX with accessibility
---
## Patterns
### Framework Patterns
React 19 Patterns:
- Server Components, Concurrent features, cache() API, Form handling
Next.js 16 Patterns:
- App Router, Server Actions, ISR, Route Handlers, Parallel Routes
Vue 3.5 Patterns:
- Composition API, Composables, Reactivity, Pinia, Provide/Inject
### Architecture Patterns
Component Architecture:
- Design tokens, CVA variants, Compound components, Accessibility
State Management:
- Zustand, Redux Toolkit, React Context, Pinia
Performance Optimization:
- Code splitting, Dynamic imports, Image optimization, Memoization
AI-Assisted Frontend Patterns:
- Visual reference strategy, Playwright verification, motion design, reasoning-level tuning
Vercel React Best Practices:
- 45 rules across 8 categories from Vercel Engineering - Eliminating waterfalls, bundle optimization, server-side performance - Client-side data fetching, re-render optimization, rendering performance
---
## Implementation Quickstart
### React 19 Server Component
Create an async page component that uses the cache function from React to memoize data fetching. Import Suspense for loading states. Define a getData function that fetches from the API endpoint with an id parameter and returns JSON. In the page component, wrap the DataDisplay component with Suspense using a Skeleton fallback, and pass the awaited getData result as the data prop.
### Next.js Server Action
Create a server action file with the use server directive. Import revalidatePath from next/cache and z from zod for validation. Define a schema with title (minimum 1 character) and content (minimum 10 characters). The createPost function accepts FormData, validates with safeParse, returns errors on failure, creates the post in the database, and calls revalidatePath for the posts page.
### Vue Composable
Create a useUser composable that accepts a userId ref parameter. Define user as a nullable ref, loading as a boolean ref, and fullName as a computed property that concatenates firstName and lastName. Use watchEffect to set loading true, fetch the user data asynchronously, assign to user ref, and set loading false. Return the user, loading, and fullName refs.
### CVA Component
Import cva and VariantProps from class-variance-authority. Define buttonVariants with base classes for inline-flex, items-center, justify-center, rounded-md, and font-medium. Add variants object with variant options for default (primary background with hover) and outline (border with hover accent). Add size options for sm (h-9, px-3, text-sm), default (h-10, px-4), and lg (h-11, px-8). Set defaultVariants for variant and size. Export a Button component that applies the variants to a button element className.
---
## Works Well With
- moai-domain-backend - Full-stack development - moai-library-shadcn - Component library integration - moai-domain-uiux - UI/UX design principles - `.claude/rules/moai/languages/typescript.md` - TypeScript patterns (auto-loaded via paths frontmatter) - moai-workflow-testing - Frontend testing
---
## Technology Stack
Frameworks: React 19, Next.js 16, Vue 3.5, Nuxt 3
Languages: TypeScript 5.9+, JavaScript ES2024
Styling: Tailwind CSS 3.4+, CSS Modules, shadcn/ui
Animation: Framer Motion
State: Zustand, Redux Toolkit, Pinia
Testing: Vitest, Testing Library, Playwright
Verification: Playwright (visual inspection, functional testing)
---
## Resources
Official documentation:
- React: https://react.dev/ - Next.js: https://nextjs.org/docs - Vue: https://vuejs.org/
---
Version: 2.1.0 Last Updated: 2026-03-28
<!-- moai:evolvable-start id="rationalizations" --> ## Common Rationalizations
| Rationalization | Reality | |---|---| | "Accessibility can be added after launch" | Post-launch accessibility is a rewrite, not an addition. Semantic HTML and ARIA are foundational, not decorative. | | "This component is too simple to need its own test" | Simple components compose into complex UIs. A broken simple component cascades failures everywhere it is used. | | "Server components are always faster" | Server components add network round trips. Client components with proper caching can outperform naive server components. Measure, do not assume. | | "I will just use any as the TypeScript type for now" | any disables the type checker for everything downstream. One any infects the entire call chain. | | "Global CSS is fine for this project" | Global CSS creates specificity conflicts as the project grows. Scoped styles (CSS modules, Tailwind) prevent collisions. |
<!-- moai:evolvable-end -->
<!-- moai:evolvable-start id="red-flags" --> ## Red Flags
- Component renders user-provided HTML without sanitization (XSS vector) - TypeScript `any` type used in component props or state definitions - No loading or error states defined for async data fetching components - Accessibility attributes (aria-label, role) missing from interactive elements - Bundle size increased by more than 50KB without justification - Component has more than 300 lines without extraction into sub-components
<!-- moai:evolvable-end -->
<!-- moai:evolvable-start id="verification" --> ## Verification
- [ ] All interactive elements have accessible names (aria-label or visible text) - [ ] Components handle loading, error, and empty states - [ ] No TypeScript `any` in new or modified code (show grep results) - [ ] Bundle size impact measured for new dependencies (show analyzer output) - [ ] User-provided content rendered with proper escaping or sanitization - [ ] Components under 300 lines or decomposed with clear sub-component boundaries
<!-- moai:evolvable-end -->
## Refactor Notes
**Refactor scope** (deferred to future sub-SPEC): - Reduce body to routing/delegation content pointing at moai-ref-react-patterns and moai-library-nextra - Extract framework-specific deep-dives into Level-3 modules - Remove content that duplicates coverage in library and reference skills
This skill is retained in v3.0 but its body will be restructured in a follow-up SPEC.
Source provenance
Decision snapshot
1,195 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for moai-domain-frontend, ready for a manual X post.
moai-domain-frontend: Frontend development specialist covering React 19, Next.js 16, Vue 3.5, and modern UI/UX patt... 1.2K stars https://www.openagentskill.com/skills/modu-ai-moai-domain-frontend?ref=x
Listing + install path for moai-domain-frontend: https://www.openagentskill.com/skills/modu-ai-moai-domain-frontend?ref=x Install: npx skills add modu-ai/moai-adk --skill moai-domain-frontend
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Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsPermission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness