Render 3d Product Showcase

OrganizationPopular

gooseworks-ai

render-3d-product-showcase

Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the brand-color canvas, hard-concatenated in order, closed on a deterministic Playwright brand end card, and mixed under one instrumental bed at loudnorm I=-16 (music-only, no VO). Ships the runnable build_endcard.py + build_masters.py; the rotation/macro clips are create-video-fal i2v seeded on a create-image-fal styled hero, the reveal is Veo3 i2v, and the bed is create-music-elevenlabs. Use for the 3d-product-showcase format.

Overview

Publisher	gooseworks-ai
Repository	`goose-skills`
Skill name	`render-3d-product-showcase`
Stars	1.2K
Forks	208
Bundled files	7
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
7 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Render 3d Product Showcase AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-3d-product-showcase

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/ads/capabilities/render-3d-product-showcase .claude/skills/render-3d-product-showcase

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Render 3d Product Showcase in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Render 3d Product Showcase on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Render 3d Product Showcase is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

render-3d-product-showcase

Assemble a premium 3D product-showcase ad from a config: one real product floats centered on a clean seamless brand-color backdrop and sells itself across four beats — an orbiting hero rotation, a macro push-in on the surface detail, a physics reveal (exploded_view / particle_disintegration / liquid_splash, or rotation_only), then a typographic brand close. This capability is the FREE, deterministic assembly that stitches the delivered beats into the master; it spends nothing.

scripts/config.example.json is the worked example (DIBS Beauty "Desert Island Duo", ~15s 720×1280 9:16); scripts/build_endcard.py + scripts/build_masters.py are the runnable free assembly; scripts/PIPELINE.md maps every config block to its source step; scripts/README.md documents the assembly.

Run

This is the FREE, deterministic assembly stage — it spends nothing. The paid inputs are separate capabilities: Beats 1 & 2 (hero rotation + macro push-in) are create-video-fal image-to-video seeded on a create-image-fal styled hero — a nano-banana restyle of the brand's REAL product photo onto the seamless studio set, so the product geometry is real and never AI-invented; Beat 3 (the physics reveal) is a Veo3 image-to-video seeded on Beat 1's last frame (also create-video-fal); the one instrumental bed is create-music-elevenlabs. There is no Higgsfield / Marketing Studio in this format — everything paid runs through the fal-proxy / elevenlabs-proxy so it bills the Ads agent.

Given those beats + the brand wordmark, this capability:

build_endcard.py --bg beat1_last_frame.png --headline "…" --wordmark <wordmark> --out endcard.png — the deterministic Beat-4 hyperframe (Playwright 1080×1920 → ffmpeg-scale to 720×1280).
build_masters.py --config config.json --clips working/clips --endcard endcard.png --music music.mp3 --out master.mp4 — trims each beat to its window, normalizes to the brand canvas, hard-concats, mixes the bed.

Re-cuts reuse the existing beats and cost $0.

Contract (the free assembly)

Music-only, no VO. One ElevenLabs instrumental bed carries the film; nobody speaks. Do not add a spoken voiceover or a second bed.
Beat 1's last frame is the shared anchor. Extract it (ffmpeg -sseof -0.1 … -frames:v 1) once — it seeds the Veo3 Beat 3 AND backs the Beat 4 end-card hyperframe, so the product + lighting carry across all four beats and the geometry never AI-drifts.
End card via Playwright from the real wordmark — never AI-render brand text. The brand close is a deterministic hyperframe (Beat 1 last frame + scrim + Playfair headline + the real wordmark, recolored for contrast). build_endcard.py auto-picks a legible headline color from the bg luminance and renders 1080×1920 then scales to 720×1280. Playfair is loaded from Google Fonts; bundle the .ttf if determinism offline matters. If the resolvable Playwright wants an uninstalled browser build, export PW_CHROME=<installed Chromium binary> (shoot.js honours it).
Normalize each beat to the brand canvas, hard-concat. Per beat: trim to the window, strip the i2v model's auto-audio (-an), scale + pad to 720×1280 with the brand bg pad color, 24fps, yuv420p, crf 18 → concat demuxer. No dissolves.
FFmpeg mix, deterministic, FREE. Mix one instrumental bed (afade in/out + loudnorm I=-16 TP=-1.5 LRA=11, apad + atrimmed to master duration) over the concatenated beats → a 720×1280 h264+aac master. No paid calls, no keys.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Render 3d Product Showcase AI skill do?

Why use Render 3d Product Showcase on TypingMind?

Because you install it once and use it with any model. Render 3d Product Showcase is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Render 3d Product Showcase in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-3d-product-showcase. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Render 3d Product Showcase?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Render 3d Product Showcase?

As many as you like. As long as a model supports skills, you can use Render 3d Product Showcase with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Render 3d Product Showcase AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

render-3d-product-showcase

Run

Contract (the free assembly)

Bundled files

Frequently asked questions

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