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Floating product generator

Skill blammectrappora/floating-product-generator

Generate cinematic floating product shots, levitating product photography, and hovering e-commerce images with dramatic studio lighting — perfect for Shopify stores, Amazon listings, dropshipping catalogs, Instagram ads, luxury brand marketing, creator-economy content, and commercial product photography via the Neta AI image generation API (free trial at neta.art/open).From its SKILL.md

Install
npx -y skills add blammectrappora/floating-product-generator

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.4 KB, 214 tokens by cl100k_base, as published. Nobody here has run it

Floating Product Generator

Generate cinematic floating product shots, levitating product photography, and hovering e-commerce images with dramatic studio lighting — perfect for Shopify stores, Amazon listings, dropshipping catalogs, Instagram ads, luxury brand marketing, creator-economy content, and commercial product photography.

Token

Requires a Neta API token (free trial at https://www.neta.art/open/). Pass it via the --token flag.

node <script> "your prompt" --token YOUR_TOKEN

When to use

Use when someone asks to generate or create floating product photography generator images.

Quick start

node floatingproductgenerator.js "your description here" --token YOUR_TOKEN

Options

  • --size — portrait, landscape, square, tall (default: square)
  • --ref — reference image UUID for style inheritance

Install

npx skills add blammectrappora/floating-product-generator

What ships with it: 4 files

8.8 KB alongside SKILL.md, 1 of them executable

Gives 0 of the 12 instructions most product growth skills give in 214 tokens

Counted across 728 of the 1,010 authors here whose files we hold, read 2026-08-07

  • Read product marketing context before asking questionsin 24 of 728, across 18 files
  • Define the ideal customer profilein 21 of 728, across 3 files
  • Document a rollback plan before deploymentin 21 of 728, across 12 files
  • Analyze the codebase to understand the productin 19 of 728, across 1 file
  • Ask clarifying questions about the value propositionin 19 of 728, across 1 file
  • Search for companies matching the criteriain 19 of 728, across 1 file
  • Look for signals of immediate needin 19 of 728, across 1 file
  • Assign a fit score from one to tenin 19 of 728, across 1 file
  • Identify the target decision-maker rolein 19 of 728, across 1 file
  • Suggest a personalized contact strategyin 19 of 728, across 1 file
  • Provide conversation starters for outreachin 19 of 728, across 1 file
  • Format results in a scannable markdown templatein 19 of 728, across 1 file

Said here and by no other author read

  • provide a reference image UUID via the --ref flag

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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Skills are one crate of 326,506. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.