Editorial Collage Motion
Pluviobyte/rnskill
将参考图或简要描述解码为可编辑的半色调纸张拼贴规范，默认使用 Codex 内置 imagegen 生成品牌一致的静帧和透明图层，再用本地 FFmpeg 或 HyperFrames 制作“从空背景逐件组装”的确定性动态视频。用户提到半色调拼贴、纸张拼贴、剪纸拼贴、编辑式拼贴、杂志拼贴、复古印刷拼贴、拼贴动效、拼贴动画、剪纸动画、纸片组装、逐层组装、从无到有、元素飞入拼装、定格拼贴、定格动画、Arc…
Assemble a 3D-CGI app sizzle — nano-banana CGI plates (blank-glow floating phone + a CGI studio with rim-light + placeholder burst shapes; studio look and phone finish come from the recipe choices)…
Install Render Cgi Sizzle
$ npx skills add gooseworks-ai/goose-skills --skill render-cgi-sizzle -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills render-cgi-sizzle --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/capabilities/render-cgi-sizzle .claude/skills/render-cgi-sizzle && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "render-cgi-sizzle" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-cgi-sizzle into .claude/skills/render-cgi-sizzle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-cgi-sizzle", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-cgi-sizzleType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gooseworks-ai/goose-skills --skill render-cgi-sizzle -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills render-cgi-sizzle --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ads/capabilities/render-cgi-sizzle .agents/skills/render-cgi-sizzle && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "render-cgi-sizzle" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-cgi-sizzle into .agents/skills/render-cgi-sizzle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-cgi-sizzle", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill render-cgi-sizzle -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills render-cgi-sizzle --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ads/capabilities/render-cgi-sizzle .cursor/skills/render-cgi-sizzle && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "render-cgi-sizzle" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-cgi-sizzle into .cursor/skills/render-cgi-sizzle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-cgi-sizzle", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/ads/capabilities/render-cgi-sizzle--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill render-cgi-sizzle -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills render-cgi-sizzle --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ads/capabilities/render-cgi-sizzle .gemini/skills/render-cgi-sizzle && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "render-cgi-sizzle" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-cgi-sizzle into .gemini/skills/render-cgi-sizzle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-cgi-sizzle", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gooseworks-ai/goose-skills render-cgi-sizzleInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gooseworks-ai/goose-skills --skill render-cgi-sizzle -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ads/capabilities/render-cgi-sizzle .github/skills/render-cgi-sizzle && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "render-cgi-sizzle" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-cgi-sizzle into .github/skills/render-cgi-sizzle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-cgi-sizzle", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill render-cgi-sizzle -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills render-cgi-sizzle --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ads/capabilities/render-cgi-sizzle .opencode/skills/render-cgi-sizzle && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "render-cgi-sizzle" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-cgi-sizzle into .opencode/skills/render-cgi-sizzle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-cgi-sizzle", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
render-cgi-sizzle- GitHub stars
- 1.2k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 651 words
- Files
- 6 (incl. scripts)
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Assemble a 3D-CGI app sizzle — nano-banana CGI plates (blank-glow floating phone + a CGI studio with rim-light + placeholder burst shapes; studio look and phone finish come from the recipe choices)…
- The cgi-app-sizzle video format
- SKILL.md covers Choices, Run and Contract
- Tasks that involve AI video generation
- Tasks that involve Image generation
What it does
Render Cgi Sizzle is an agent skill from gooseworks-ai/goose-skills. Assemble a 3D-CGI app sizzle — nano-banana CGI plates (blank-glow floating phone + a CGI studio with rim-light + placeholder burst shapes; studio look and phone finish come from the recipe choices) 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…
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `scripts/PIPELINE.md`, `scripts/README.md` and `scripts/config.example.json`).
It sits in Media & Creative, covering AI video generation, Image generation and App store release. It works with Google Gemini and FFmpeg. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
When your agent uses it
- The cgi-app-sizzle video format
- Tasks that involve AI video generation
- Tasks that involve Image generation
Example prompts
- “/render-cgi-sizzle”
What it can do on your machine
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/, which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Render Cgi Sizzle loads about 1.4k tokens when it runs. Until then it costs about 208 tokens; SKILL.md has 651 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 651 words, ~1,388 tokens.
Download SKILL.mdSave it as
.claude/skills/render-cgi-sizzle/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- render-cgi-sizzle
- description
- Assemble a 3D-CGI app sizzle — nano-banana CGI plates (blank-glow floating phone + a CGI studio with rim-light + placeholder burst shapes; studio look and phone finish come from the recipe choices) 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, any faces in it, and the 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.
- status
- active
render-cgi-sizzle
Assembles the 3D-CGI app sizzle video format: a phone floats in a CGI studio while five or six app features demo one per beat — each beat bursts REAL App Store UI elements out of the phone in 3D with rim-light + bokeh, then everything collapses back into the screen at a value-prop climax + a brand end card over a music bed. It reads as an Apple-keynote product film, not UGC and not a physical-product shoot.
The worked example (scripts/config.example.json) is MasterClass: a gold phone in a
smoky-black studio with an amaranth rim-light, an "Eryn" keynote-cadence VO, a premium-tech
piano/synth bed, and a "200+ classes. One app." climax. Those are one example, not defaults.
Choices
Creative calls the user makes (the recipe's choices, asked in one round before any paid
step). The demo's value is only an example.
studio_look— background, rim-light colour, bokeh; also the end-card canvas + bar. Asked of the user; the demo used smoky-black#0A0A0A+ amaranth#E32652rim-light.phone— the phone model/finish in every plate. Asked; the demo used a gold/champagne titanium iPhone 15 Pro.narrator_voice— the VO voice. Asked; the demo used ElevenLabs "Eryn".vo_delivery— how the VO is written and read. Asked; the demo used a restrained Apple-keynote spec-sheet cadence.music— the bed's genre/mood. Asked; the demo used a premium-tech underscore.
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 + the chosen
studio + 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 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.
Show full SKILL.md (213 more words)Show less
Run
Config-and-PIPELINE capability (no re-built runnable pipeline here). Copy the
structure of scripts/config.example.json → config.json, fill the creative fields from the
recipe choices (never the demo's values), rebuild 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, ~22s H.264 (+ AAC music). 5-6 feature beats + PIL end card.
Contract
- REAL UI, always PIL — never AI. Every app screen, any face in it, 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.
© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 5 other files (scripts) in skills/ads/capabilities/render-cgi-sizzle of gooseworks-ai/goose-skills.
- SKILL.md
- scripts/PIPELINE.md
- scripts/README.md
- scripts/config.example.json
- skill.meta.json
- tests/smoke-test.md
Open the folder on GitHubat commit c650c6d
Compare with similar skills
Render Cgi Sizzle next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Render Cgi Sizzle this skillgooseworks-ai/goose-skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Editorial Collage MotionPluviobyte/rnskill | 1.6k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Gemini Omni Flash APIgoogle-gemini/gemini-skills | 4.3k | — | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Atlas Cloudcalesthio/OpenMontage | 66k | — | ~1.2k | Automated safety check: Pass | AGPL-3.0 | |
| Beatdesign WorkspaceBeatAPI/BeatDesign | 132 | 1 repos | ~632 | Automated safety check: Pass | Apache-2.0 | |
| AI Mediaericrisco/rsc-harness | 174 | — | ~3.3k | Automated safety check: Pass | MIT |
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Categories
Questions about Render Cgi Sizzle
What does Render Cgi Sizzle do?
Assemble a 3D-CGI app sizzle — nano-banana CGI plates (blank-glow floating phone + a CGI studio with rim-light + placeholder burst shapes; studio look and phone finish come from the recipe choices)…. Render Cgi Sizzle is an agent skill from gooseworks-ai/goose-skills.15x speed + anti-AI grain finalize.
When should I use Render Cgi Sizzle?
Render Cgi Sizzle fits situations like: the cgi-app-sizzle video format; tasks that involve AI video generation; tasks that involve Image generation.
How do I install Render Cgi Sizzle in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill render-cgi-sizzle -a claude-code`. Or copy the skill folder (skills/ads/capabilities/render-cgi-sizzle in gooseworks-ai/goose-skills) into .claude/skills/render-cgi-sizzle in your project. Claude Code loads it when a task matches its description.
How do I install Render Cgi Sizzle in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill render-cgi-sizzle -a codex`. Or copy the skill folder (skills/ads/capabilities/render-cgi-sizzle in gooseworks-ai/goose-skills) into .agents/skills/render-cgi-sizzle in your project. Codex loads it when a task matches its description.
Can I use Render Cgi Sizzle in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill render-cgi-sizzle -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/render-cgi-sizzle, .gemini/skills/render-cgi-sizzle, .github/skills/render-cgi-sizzle and .opencode/skills/render-cgi-sizzle in your project.
What does Render Cgi Sizzle need to run?
SKILL.md names no scripts, command-line tools or credentials: Render Cgi Sizzle is instructions for the agent only.
Does Render Cgi Sizzle access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Render Cgi Sizzle safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Render Cgi Sizzle use?
Render Cgi Sizzle is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Render Cgi Sizzle use?
About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Render Cgi Sizzle?
Skills that share tags, products or a category with Render Cgi Sizzle: Editorial Collage Motion (Pluviobyte/rnskill, 1.6k stars), Gemini Omni Flash API (google-gemini/gemini-skills, 4.3k stars), Atlas Cloud (calesthio/OpenMontage, 66k stars) and Beatdesign Workspace (BeatAPI/BeatDesign, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Render Cgi Sizzle?
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,239 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.