Working source first
The HTML, CSS, JavaScript, assets, dependencies, and original documentation ship together. The assistant modifies a working reference instead of inventing one.
GSAP Vault provides production-ready animation effects and complete website templates for developers who work by hand, with AI, or both. Every download includes readable source and full documentation; an optional product-specific prompt is there when you want help from Cursor, Claude, ChatGPT, Copilot, Windsurf, or another coding assistant.
It does not mean asking an AI to recreate a polished animation from a screenshot, and it does not make AI part of the requirement. You get a tested, documented implementation you can integrate yourself. If you choose to use an assistant, the extra prompt gives it the context needed to adapt that same implementation to your codebase.
The HTML, CSS, JavaScript, assets, dependencies, and original documentation ship together. The assistant modifies a working reference instead of inventing one.
START-HERE-AI.md identifies the product, plugins, techniques, and implementation constraints, then tells the assistant how to inspect your existing stack.
The prompt requires scoped selectors, responsive checks, reduced-motion support, keyboard access, GSAP cleanup, asset checks, and a final change report.
Nothing is hidden behind an AI workflow. Every product still ships as ordinary HTML, CSS, and JavaScript with a detailed README, clear comments, live demo, and documented customisation points. Open the files in your editor, follow the documentation, and ignore START-HERE-AI.md entirely if that is how you prefer to build.
Integrate the supplied GSAP effect into my project.
Before editing anything:
1. Inspect my framework, routing, styling system, and GSAP setup.
2. Read START-HERE-AI.md, README.md, and the supplied source.
3. Explain which existing files you plan to change.
Preserve the visual design, responsive behaviour, semantic HTML,
keyboard operation, ARIA attributes, and prefers-reduced-motion support.
Scope selectors, reuse existing dependencies, and add framework-appropriate
cleanup for animations, ScrollTriggers, tickers, and event listeners.
When finished, list changed files, safe customisation points, and what you tested. This optional prompt complements the README; it does not replace it. Each download expands the brief with the product title, type, GSAP plugins, techniques, Lenis usage, and template-specific brand fields.
The supplied prompt asks the assistant to preserve the production work already present, but the final integration still belongs in your normal review process. Test against the official GSAP documentation and verify motion preferences using the MDN reduced-motion reference.
For deeper examples, read Using AI to Customise GSAP Effects or follow the standard GSAP Vault setup guide.
Vibe-code ready means the source code is packaged so an AI coding assistant can understand and integrate it with less guesswork. Every GSAP Vault download includes readable source, documentation, and a product-specific START-HERE-AI.md prompt covering dependencies, project integration, responsive behaviour, accessibility, animation cleanup, and testing.
The prompt is plain Markdown and works with Cursor, Claude Code, ChatGPT, GitHub Copilot, Windsurf, and other assistants that accept pasted instructions or project files. It does not depend on a proprietary prompt format.
Yes. The prompt tells the assistant to inspect the existing framework and adapt the vanilla HTML, CSS, and JavaScript to its conventions. It also requires framework-appropriate cleanup for GSAP animations, ScrollTrigger instances, event listeners, and tickers.
No. The prompt tells the assistant to read the supplied README and source files first. The README documents the original implementation; the setup prompt supplies the integration brief and production safeguards.
The setup prompt explicitly requires semantic HTML, keyboard operation, ARIA attributes, responsive behaviour, and prefers-reduced-motion handling to be preserved. You should still review and test the finished integration in your own project.
Start with production-ready code. Use AI only when it helps.
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