Render Stopmotion Hand Swatch Cycle

OrganizationPopular

gooseworks-ai

render-stopmotion-hand-swatch-cycle

Assemble a stop-motion hand-swatch-cycle product-demo ad from a config — a sequence of still PLATES (one hand swiping a single-barrel cosmetic across a cream skin-patch, the barrel + swatch changing per plate while the hand, background, crop, and lighting stay locked) is PNG→mp4 loop-encoded at each plate's own stop-motion hold (fast motion frames 150–250ms, per-shade ~380ms, hero beats 1100–1800ms), concat-demuxed with HARD cuts into a silent master, closed on a Playwright HTML-rendered branded end card (serif tagline + sans subtitle + real logo SVG over a hero BG, never AI-rendered text), and muxed with a pre-sourced music track playing under the end card with a fade tail (no VO). This is the FREE deterministic assembly stage (loop-encode + concat-demux + end-card render + music mux); the master-anchor plate, shade plates, and end-card BG come from create-image-gpt-image-fal and the track from create-music-elevenlabs. Use for the stopmotion-hand-swatch-cycle format.

Overview

Publisher	gooseworks-ai
Repository	`goose-skills`
Skill name	`render-stopmotion-hand-swatch-cycle`
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 Stopmotion Hand Swatch Cycle 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-stopmotion-hand-swatch-cycle

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-stopmotion-hand-swatch-cycle .claude/skills/render-stopmotion-hand-swatch-cycle

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

Use it in TypingMind

Enable Render Stopmotion Hand Swatch Cycle 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 Stopmotion Hand Swatch Cycle 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 Stopmotion Hand Swatch Cycle 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-stopmotion-hand-swatch-cycle

Assemble a stop-motion hand-swatch-cycle ad from a config: a fast, tactile product demo where a single hand swipes ONE cosmetic barrel across a cream "skin-patch" test surface, and the shade of the barrel AND the painted swatch stripe changes on every frame while the hand, background, crop, and lighting hold still — cycling the variant family so the viewer self-identifies their match, then a hero-pick payoff and a branded end card. This capability is the FREE, deterministic assembly — the per-plate PNG→mp4 loop encode, the concat-demux, the end-card render, and the music mux.

scripts/config.example.json is the worked example (DIBS Beauty "Pick Your Match", ~16.6s 1080×1920 9:16, ~24 cycle plates + finale beats + a 3s end card); scripts/PIPELINE.md maps every config block to its source step and scripts/README.md documents the free assembly.

Run

This is the FREE, deterministic assembly stage — it spends nothing. The paid inputs are separate capabilities — the master-anchor plate + the per-shade / motion / finale plates + the end-card hero BG (create-image-gpt-image-fal, gpt-image-2 EDIT mode, each plate anchored to the SAME master-anchor — never chained), and the music track (create-music-elevenlabs, or a brand-supplied mp3). Given the ordered plate PNGs + per-plate holds + the end-card hero BG + the brand logo SVG + the music track, render-stopmotion-hand-swatch-cycle loop-encodes each plate at its hold, concat-demuxes with hard cuts into a silent master, appends the HTML-rendered end card, and muxes the music under it → the master. Re-cuts (re-timed holds, a re-ordered cycle, a swapped end card) reuse the existing plates / track and cost $0.

Contract (the free assembly)

Still plates, not i2v — held for tuned durations. Each plate is a static PNG loop-encoded (ffmpeg -loop 1 -t <pose_hold_ms>) to 1080×1920 @ 30fps crf18. This is stop-motion — discrete held frames, no camera moves, no character animation. Do not animate the plates.
Fast stop-motion cadence, HARD cuts. Motion / half-painted plates hold 150–250ms, per-shade plates ~380ms (or ~1000ms for a slower cycle), hero / bookend beats 1100–1800ms; average ~380ms. Concat-demux the plate mp4s in order with hard cuts (ffmpeg -f concat) — NO dissolves. The frame-swap tactility is the whole point; a crossfade erases it.
Concat-demux, not filter_complex. The plates are silent stills, so the concat demuxer over the ordered plate list is correct and cheapest. (filter_complex is only needed when clips carry mismatched audio — these don't.)
The music carries it — no VO. A pre-sourced brand instrumental (128–130 BPM works well), volume ≈0.4, fade in/out. Do not add a spoken voiceover or a second bed.
End card via Playwright HTML from the real logo SVG — never AI-render brand text. A serif tagline + sans subtitle + the real logo SVG composited over a hero product/swatch BG by an HTML template (Chromium headless), rendered to a silent ~3s clip. A diffusion model garbles a wordmark.
Music plays UNDER the end card with a fade tail — no silent tail. Mux the track over the whole video including the end card, fade over the last ~0.5s so the video ends WITH the music.
FFmpeg composite, deterministic, FREE. Loop-encode each plate, concat-demux on hard cuts, append the end card, mux the music with a fade tail → a 1080×1920 h264+aac master (~16.6s). No paid calls, no keys (beyond the Playwright/Chromium the end-card render needs).

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 Stopmotion Hand Swatch Cycle AI skill do?

Why use Render Stopmotion Hand Swatch Cycle on TypingMind?

Because you install it once and use it with any model. Render Stopmotion Hand Swatch Cycle 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 Stopmotion Hand Swatch Cycle 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-stopmotion-hand-swatch-cycle. 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 Stopmotion Hand Swatch Cycle?

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 Stopmotion Hand Swatch Cycle?

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

Is the Render Stopmotion Hand Swatch Cycle 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-stopmotion-hand-swatch-cycle

Run

Contract (the free assembly)

Bundled files

Frequently asked questions

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