nuxt▌
antfu/skills · updated Jun 3, 2026
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Full-stack Vue framework with SSR, file-based routing, auto-imports, and universal deployment via Nitro.
- ›Covers core concepts including directory structure, configuration, CLI commands, file-based routing with middleware and layouts, and data fetching with useFetch and useAsyncData
- ›Supports three rendering modes: universal SSR, client-side SPA, and hybrid rendering with route-level control
- ›Includes auto-import systems for composables and components, built-in components like NuxtLink
Nuxt is a full-stack Vue framework that provides server-side rendering, file-based routing, auto-imports, and a powerful module system. It uses Nitro as its server engine for universal deployment across Node.js, serverless, and edge platforms.
The skill is based on Nuxt 3.x, generated at 2026-01-28.
Core
| Topic | Description | Reference |
|---|---|---|
| Directory Structure | Project folder structure, conventions, file organization | core-directory-structure |
| Configuration | nuxt.config.ts, app.config.ts, runtime config, environment variables | core-config |
| CLI Commands | Dev server, build, generate, preview, and utility commands | core-cli |
| Routing | File-based routing, dynamic routes, navigation, middleware, layouts | core-routing |
| Data Fetching | useFetch, useAsyncData, $fetch, caching, refresh | core-data-fetching |
| Modules | Creating and using Nuxt modules, Nuxt Kit utilities | core-modules |
| Deployment | Platform-agnostic deployment with Nitro, Vercel, Netlify, Cloudflare | core-deployment |
Features
| Topic | Description | Reference |
|---|---|---|
| Composables Auto-imports | Vue APIs, Nuxt composables, custom composables, utilities | features-composables |
| Components Auto-imports | Component naming, lazy loading, hydration strategies | features-components-autoimport |
| Built-in Components | NuxtLink, NuxtPage, NuxtLayout, ClientOnly, and more | features-components |
| State Management | useState composable, SSR-friendly state, Pinia integration | features-state |
| Server Routes | API routes, server middleware, Nitro server engine | features-server |
Rendering
| Topic | Description | Reference |
|---|---|---|
| Rendering Modes | Universal (SSR), client-side (SPA), hybrid rendering, route rules | rendering-modes |
Best Practices
| Topic | Description | Reference |
|---|---|---|
| Data Fetching Patterns | Efficient fetching, caching, parallel requests, error handling | best-practices-data-fetching |
| SSR & Hydration | Avoiding context leaks, hydration mismatches, composable patterns | best-practices-ssr |
Advanced
| Topic | Description | Reference |
|---|---|---|
| Layers | Extending applications with reusable layers | advanced-layers |
| Lifecycle Hooks | Build-time, runtime, and server hooks | advanced-hooks |
| Module Authoring | Creating publishable Nuxt modules with Nuxt Kit | advanced-module-authoring |
How to use nuxt on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add nuxt
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches nuxt from GitHub repository antfu/skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate nuxt. Access the skill through slash commands (e.g., /nuxt) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★26 reviews- ★★★★★Nikhil Haddad· Dec 20, 2024
We added nuxt from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Dhruvi Jain· Dec 4, 2024
nuxt reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Oshnikdeep· Nov 23, 2024
I recommend nuxt for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Mia Brown· Nov 19, 2024
nuxt is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Nikhil Li· Nov 15, 2024
Solid pick for teams standardizing on skills: nuxt is focused, and the summary matches what you get after install.
- ★★★★★James Abebe· Nov 11, 2024
Keeps context tight: nuxt is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ganesh Mohane· Oct 14, 2024
Useful defaults in nuxt — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Mia Okafor· Oct 10, 2024
Keeps context tight: nuxt is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Hana Khanna· Oct 6, 2024
nuxt has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Emma Li· Oct 2, 2024
nuxt is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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