supanova-deploy

Automate landing-page deployment from Pinterest references to Netlify Drop.

Updated Jul 23, 2025
One-click install
npx skills add https://github.com/ha-giwan1203/GIWANOS_AgentOS --skill supanova-deploy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: supanova-deploy
Source: https://github.com/ha-giwan1203/GIWANOS_AgentOS/tree/main/90_%EA%B3%B5%ED%86%B5%EA%B8%B0%EC%A4%80/%EC%8A%A4%ED%82%AC/supanova-deploy
Command: npx skills add https://github.com/ha-giwan1203/GIWANOS_AgentOS --skill supanova-deploy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates the end-to-end process of turning Pinterest reference images into production-ready landing-page assets and deployable URLs, eliminating manual handoffs and repetitive setup.

Core Features & Use Cases

  • Pinterest reference collection and asset prep for a landing page
  • Generate a 16:9 Gemini Pro video from references and post-process with Claude Code to WebP frames
  • Assemble index.html + assets/ + frames/ and validate outputs for Netlify Drop deployment
  • Produce a reproducible output folder suitable for quick URL validation and handoff

Quick Start

Provide the three required assets (Pinterest references, Gemini video, and template HTML) and let this skill produce a reproducible output folder containing index.html, assets/, and frames/.

Frequently Asked Questions about supanova-deploy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate landing-page deployment from Pinterest reference images?

To automate landing-page deployment, you provide Pinterest references, a Gemini video, and template HTML. The process converts the video to WebP frames, assembles a reproducible output folder with index.html, assets, and frames, and deploys via Netlify Drop.

How does WebP frame conversion work for landing-page deployment?

WebP frame conversion for landing-page deployment works by post-processing a 16:9 Gemini Pro video into individual WebP frames. Claude Code facilitates this conversion, creating frame assets that are then assembled into a static HTML template for deployment.

Do I need to prepare specific assets before starting the landing-page deployment workflow?

Yes, you need to prepare three specific assets before starting the landing-page deployment workflow: Pinterest reference images, a generated Gemini video, and a template HTML file. These inputs allow the skill to generate a reproducible output folder for deployment.

Can I use Netlify Drop to deploy static HTML assembled from video frames?

Yes, you can use Netlify Drop to deploy static HTML assembled from video frames. The workflow validates the assembled index.html and asset paths, ensuring the reproducible folder structure is correct before executing the Netlify Drop deployment.

What are the limitations of automated landing-page deployment from visuals?

Limitations of automated landing-page deployment from visuals include safety checks that prevent missing assets or incorrect paths. The workflow requires strict adherence to a reproducible folder output structure containing index.html, assets, and frames directories for successful validation and deployment.