Render Cgi Sizzle

OrganizationPopular

gooseworks-ai

render-cgi-sizzle

Assemble a 3D-CGI app sizzle — nano-banana CGI plates (blank-glow floating phone + smoky-black studio + amaranth rim-light + placeholder burst shapes) plus PIL compositing of the REAL App Store screenshots onto the bezel + burst-out overlays, driven by Kling 3.0 i2v steady-float per beat with a per-beat Ken-Burns FFmpeg push-in fallback when Kling garbles the UI, then VO/music mix (sidechain duck, loudnorm) + 1.15x speed + anti-AI grain finalize. The on-screen UI, instructor faces, and wordmark are ALWAYS real assets composited via PIL — never AI-rendered. The paid steps (plates, i2v clips, VO, music) are separate capabilities; this ships the config + PIPELINE + FREE assembly and the recipe orchestrates the spend. Use for the cgi-app-sizzle video format.

Overview

Publisher	gooseworks-ai
Repository	`goose-skills`
Skill name	`render-cgi-sizzle`
Stars	1.2K
Forks	208
Bundled files	4
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.
4 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 Cgi Sizzle 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-cgi-sizzle

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-cgi-sizzle .claude/skills/render-cgi-sizzle

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

Use it in TypingMind

Enable Render Cgi Sizzle 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 Cgi Sizzle 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 Cgi Sizzle 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-cgi-sizzle

Assembles the 3D-CGI app sizzle video format: a gold-trimmed phone floats in a smoky-black studio while six app features demo one per beat — each beat bursts REAL App Store UI elements out of the phone in 3D with amaranth rim-light + bokeh, then everything collapses back into the screen at a climax ("200+ classes. One app.") + a brand end card over a premium-tech bed. It reads as an Apple-keynote product film, not UGC and not a physical-product shoot.

This capability ships the recipe (scripts/config.example.json) + a config→step map (scripts/PIPELINE.md) + the FREE-assembly how-to (scripts/README.md). It documents the FREE, deterministic assembly between the paid model calls:

nano-banana CGI plates (paid, separate cap) render only the phone shell + smoky-black studio + amaranth rim-light + bokeh + placeholder burst shapes; the screen is left a blank warm glow on purpose, and every plate is --anchored on beat 1 so the phone/studio stay identical across beats.
PIL real-UI compositing (FREE) — auto-detect the bright phone-screen bbox in each plate and feather the REAL App Store screenshot into the bezel → scene-NN-composite.png; bake real burst-out overlays (e.g. climax instructor portrait tiles, rim-light baked before rotation) around the plate. The on-screen UI + faces + wordmark are ALWAYS real assets — never AI-rendered, so no claim is invented and nothing reads fake.
Kling 3.0 i2v steady-float (paid, separate cap) drives each composite; the burst-out pops/settles while the phone + screen stay locked. Any beat Kling garbles drops to a FREE Ken-Burns FFmpeg push-in (zoompan, heavier on the climax) — the shipped demo used this path for the feature beats.
Assembly + finalize (FREE) — dice + intercut concat (timeline locked from the measured VO durations), audio mix (sidechain-duck the music under VO, loudnorm -14 LUFS master), PIL brand end card (real wordmark, never AI), then 1.15x speed + anti-AI grain master.

See scripts/README.md for the full FREE-assembly detail and scripts/PIPELINE.md for the config-field → source-step map.

Run

Config-and-PIPELINE capability (no re-built runnable pipeline here). Copy scripts/config.example.json → config.json, edit the brand/beats/screens, and follow scripts/PIPELINE.md:

VO first (locks the timeline) → nano-banana CGI plates → PIL screen composites → burst-climax overlays → Kling i2v clips (Ken-Burns fallback per garbled beat) → PIL end card → captions → sidechain-ducked mix → 1.15x speed + grain.

Output: 1080x1920, ~22.6s H.264 (+ AAC music). 6 feature beats + PIL end card.

Contract

REAL UI, always PIL — never AI. Every app screen, instructor face, and the wordmark is the real asset composited via PIL. AI plates only ever render the phone shell, studio, bokeh, and placeholder burst shapes. This is the format's whole credibility and the guard against invented claims.
Kling for the float, Ken-Burns fallback per beat. If a Kling beat garbles the burst-out UI, distorts the phone, or animates the screen, fall that beat to a FREE Ken-Burns push-in — never ship a garbled beat.
Anchor every plate on beat 1 so the phone/studio read identical across beats (one shoot).
Timeline locked from the measured VO durations, never planned word counts.
The paid steps — nano-banana plates, Kling 3.0 i2v beats, ElevenLabs VO + music — are separate capabilities (create-image-fal, create-video-fal, create-vo-elevenlabs, create-music-elevenlabs); the recipe orchestrates them and gates the spend.

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 Cgi Sizzle AI skill do?

Why use Render Cgi Sizzle on TypingMind?

Because you install it once and use it with any model. Render Cgi Sizzle 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 Cgi Sizzle 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-cgi-sizzle. 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 Cgi Sizzle?

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 Cgi Sizzle?

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

Is the Render Cgi Sizzle 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.

View all

Video Generation

bytedance

OrganizationPopular

Use this skill when the user requests to generate, create, or imagine videos. Supports structured prompts and reference image for guided generation.

Accessible Authentication

thedaviddias

CommunityPopular

Use when reviewing sign-in, sign-up, MFA, CAPTCHA, recovery, and re-auth flows. Evaluate the full authentication path, including error handling and backup methods, not just the primary login form.

Audio Descriptions

Use when reviewing rendered HTML, interactive components, or design-system patterns related to Provide audio descriptions for video. Check native semantics first, then inspect keyboard behavior, focus…

Autoplay Media

Use when reviewing rendered HTML, interactive components, or design-system patterns related to Avoid autoplaying media. Check native semantics first, then inspect keyboard behavior, focus flow,…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

render-cgi-sizzle

Run

Contract

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now