awwwards-landing-page

eng0ai/eng0-template-skills · updated Jun 2, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/eng0ai/eng0-template-skills --skill awwwards-landing-page
0 commentsdiscussion
summary

Awwwards-style portfolio landing page with smooth scroll and motion animations.

  • Built with Next.js, Locomotive Scroll, GSAP, and Framer Motion for fluid scroll-triggered animations and interactive effects
  • Static site with no environment variables required; runs on port 3000 during development
  • Deployment requires special handling on Vercel using vercel build --prod followed by vercel deploy --prebuilt --prod ; Netlify deployment available as alternative
skill.md

Awwwards Landing Page

A stunning portfolio landing page with smooth scroll animations using Locomotive Scroll, GSAP, and Framer Motion.

Tech Stack

  • Framework: Next.js
  • Animation: Locomotive Scroll, GSAP, Framer Motion
  • Package Manager: pnpm or npm
  • Dev Port: 3000

Setup

1. Clone the Template

git clone --depth 1 https://github.com/Eng0AI/awwwards-landing-page-template.git .

If the directory is not empty:

git clone --depth 1 https://github.com/Eng0AI/awwwards-landing-page-template.git _temp_template
mv _temp_template/* _temp_template/.* . 2>/dev/null || true
rm -rf _temp_template

2. Remove Git History (Optional)

rm -rf .git
git init

3. Install Dependencies

npm install

Build

npm run build

Deploy

CRITICAL: For Vercel, you MUST use vercel build --prod then vercel deploy --prebuilt --prod. Never use vercel --prod directly.

Vercel (Recommended)

vercel pull --yes -t $VERCEL_TOKEN
vercel build --prod -t $VERCEL_TOKEN
vercel deploy --prebuilt --prod --yes -t $VERCEL_TOKEN

Netlify

netlify deploy --prod

Development

npm run dev

Opens at http://localhost:3000

Notes

  • Static Next.js site - no environment variables needed
  • Never run npm run dev in VM environment
how to use awwwards-landing-page

How to use awwwards-landing-page on Cursor

AI-first code editor with Composer

1

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 awwwards-landing-page
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/eng0ai/eng0-template-skills --skill awwwards-landing-page

The skills CLI fetches awwwards-landing-page from GitHub repository eng0ai/eng0-template-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/awwwards-landing-page

Reload or restart Cursor to activate awwwards-landing-page. Access the skill through slash commands (e.g., /awwwards-landing-page) 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

Submit your Claude Code skill and start earning

GET_STARTED →

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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.562 reviews
  • Kiara Taylor· Dec 24, 2024

    Registry listing for awwwards-landing-page matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Neel Kapoor· Dec 16, 2024

    Keeps context tight: awwwards-landing-page is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aarav Sharma· Dec 16, 2024

    I recommend awwwards-landing-page for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Dhruvi Jain· Dec 12, 2024

    Solid pick for teams standardizing on skills: awwwards-landing-page is focused, and the summary matches what you get after install.

  • Kaira Bansal· Dec 8, 2024

    awwwards-landing-page reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Olivia Reddy· Dec 4, 2024

    awwwards-landing-page is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Min Brown· Nov 27, 2024

    I recommend awwwards-landing-page for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Kiara Liu· Nov 15, 2024

    Useful defaults in awwwards-landing-page — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Chen Khanna· Nov 7, 2024

    awwwards-landing-page reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Isabella Jain· Nov 7, 2024

    awwwards-landing-page is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

showing 1-10 of 62

1 / 7