mcpbeat

Render Cgi Sizzle

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.

7k tokens
context cost
the whole folder, loaded on every use
6
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
1086
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/gooseworks-ai/goose-skills --skill render-cgi-sizzle

What comes with it

22 812 bytes besides the instruction
scripts/PIPELINE.md
scripts/README.md
scripts/config.example.json
skill.meta.json
tests/smoke-test.md

The instruction itself

3 sections, as written by the author

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.jsonconfig.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.

How to use it

Copy the folder

Take gooseworks-ai/render-cgi-sizzle from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.