gsap

martinholovsky/claude-skills-generator · updated May 3, 2026

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$npx skills add https://github.com/martinholovsky/claude-skills-generator --skill gsap
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summary

Smooth, GPU-accelerated animations for JARVIS HUD panels, transitions, and data visualizations.

  • Covers panel entrance/exit, status indicators, data visualization, and scroll-triggered effects with TDD-first implementation workflow
  • Enforces performance best practices: GPU-accelerated transforms only, will-change property management, and strict animation cleanup on unmount
  • Includes accessibility support for reduced motion preferences and memory leak prevention through proper timeline a
skill.md

GSAP Animation Skill

File Organization: This skill uses split structure. See references/ for advanced patterns.

1. Overview

This skill provides GSAP (GreenSock Animation Platform) expertise for creating smooth, professional animations in the JARVIS AI Assistant HUD.

Risk Level: LOW - Animation library with minimal security surface

Primary Use Cases:

  • HUD panel entrance/exit animations
  • Status indicator transitions
  • Data visualization animations
  • Scroll-triggered effects
  • Complex timeline sequences

2. Core Responsibilities

2.1 Fundamental Principles

  1. TDD First: Write animation tests before implementation
  2. Performance Aware: Use transforms/opacity for GPU acceleration, avoid layout thrashing
  3. Cleanup Required: Always kill animations on component unmount
  4. Timeline Organization: Use timelines for complex sequences
  5. Easing Selection: Choose appropriate easing for HUD feel
  6. Accessibility: Respect reduced motion preferences
  7. Memory Management: Avoid memory leaks with proper cleanup

2.5 Implementation Workflow (TDD)

Step 1: Write Failing Test First

// tests/animations/panel-animation.test.ts
import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest'
import { mount } from '@vue/test-utils'
import { gsap } from 'gsap'
import HUDPanel from '~/components/HUDPanel.vue'

describe('HUDPanel Animation', () => {
  beforeEach(() => {
    // Mock reduced motion
    Object.defineProperty(window, 'matchMedia', {
      writable: true,
      value: vi.fn().mockImplementation(query => ({
        matches: false,
        media: query
      }))
    })
  })

  afterEach(() => {
    // Verify cleanup
    gsap.globalTimeline.clear()
  })

  it('animates panel entrance with correct properties', async () => {
    const wrapper = mount(HUDPanel)

    // Wait for animation to complete
    await new Promise(resolve => setTimeout(resolve, 600))

    const panel = wrapper.find('.hud-panel')
    expect(panel.exists()).toBe(true)
  })

  it('cleans up animations on unmount', async () => {
    const wrapper = mount(HUDPanel)
    const childCount = gsap.globalTimeline.getChildren().length

    await wrapper.unmount()

    // All animations should be killed
    expect(gsap.globalTimeline.getChildren().length).toBeLessThan(childCount)
  })

  it('respects reduced motion preference', async () => {
    // Mock reduced motion enabled
    window.matchMedia = vi.fn().mockImplementation(() => ({
      matches: true
    }))

    const wrapper = mount(HUDPanel)
    const panel = wrapper.find('.hud-panel').element

    // Should set final state immediately without animation
    expect(gsap.getProperty(panel, 'opacity')).toBe(1)
  })
})

Step 2: Implement Minimum to Pass

// components/HUDPanel.vue - implement animation logic
const animation = ref<gsap.core.Tween | null>(null)

onMounted(() => {
  if (!panelRef.value) return

  if (window.matchMedia('(prefers-reduced-motion: reduce)').matches) {
    gsap.set(panelRef.value, { opacity: 1 })
    return
  }

  animation.value = gsap.from(panelRef.value, {
    opacity: 0,
    y: 20,
    duration: 0.5
  })
})

onUnmounted(() => {
  animation.value?.kill()
})

Step 3: Refactor Following Patterns

// Extract to composable for reusability
export function usePanelAnimation(elementRef: Ref<HTMLElement | null>) {
  const animation = ref<gsap.core.Tween | null>(null)

  const animate = () => {
    if (!elementRef.value) return

    if (window.matchMedia('(prefers-reduced-motion: reduce)').matches) {
      gsap.set(elementRef.value, { opacity: 1 })
      return
    }

    animation.value = gsap.from(elementRef.value, {
      opacity: 0,
      y: 20,
      duration: 0.5,
      ease: 'power2.out'
    })
  }

  onMounted(animate)
  onUnmounted(() => animation.value?.kill())

  return { animation }
}

Step 4: Run Full Verification

# Run animation tests
npm test -- --grep "Animation"

# Check for memory leaks
how to use gsap

How to use gsap 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 gsap
2

Execute installation command

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

$npx skills add https://github.com/martinholovsky/claude-skills-generator --skill gsap

The skills CLI fetches gsap from GitHub repository martinholovsky/claude-skills-generator 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/gsap

Reload or restart Cursor to activate gsap. Access the skill through slash commands (e.g., /gsap) 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)
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general reviews

Ratings

4.466 reviews
  • Aisha Lopez· Dec 24, 2024

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

  • Liam Li· Dec 24, 2024

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

  • Anika Khanna· Dec 24, 2024

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

  • Kabir Anderson· Dec 20, 2024

    gsap reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Chaitanya Patil· Dec 16, 2024

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

  • Olivia White· Dec 16, 2024

    We added gsap from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Michael Menon· Dec 8, 2024

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

  • Ama Singh· Nov 27, 2024

    gsap reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Valentina Ghosh· Nov 19, 2024

    We added gsap from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Anika Jain· Nov 15, 2024

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

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