Render Cinematic Music Video

OrganizationPopular

gooseworks-ai

render-cinematic-music-video

Assemble a cinematic live-action-style music-video ad from a config — an original sung anthem carries the whole narrative while N 35mm-film-look i2v clips are each cut to their lyric window and hard-concatenated on the beat as a 3-act arc, the anthem muxed at loudnorm I=-14, cinematic lower-third serif captions built from the song's OWN word timings (never Whisper) with the hook line landing on the chorus drop, and closed on a brand end card composited from the real asset — never AI-rendered text. This is the FREE deterministic assembly stage (cut-to-window + hard concat + anthem mux + captions + end card); the anthem, keyframes, and clips come from create-music-elevenlabs / create-image-fal / create-video-fal. Use for the cinematic-music-video format.

Overview

Publisher	gooseworks-ai
Repository	`goose-skills`
Skill name	`render-cinematic-music-video`
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 Cinematic Music Video 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-cinematic-music-video

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-cinematic-music-video .claude/skills/render-cinematic-music-video

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

Use it in TypingMind

Enable Render Cinematic Music Video 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 Cinematic Music Video 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 Cinematic Music Video 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-cinematic-music-video

Assemble a cinematic music-video ad from a config: a live-action-STYLE short film where an original sung anthem is the score and every visual beat is a shot-on-film tableau (Kodak Portra grain, light leaks, golden hour, handheld imperfection) timed to the lyrics, arranged as a 3-act arc (morning → peak → twilight) with the hook line on the chorus drop. This capability is the FREE, deterministic assembly — cut-to-window, hard-concat, anthem mux, caption burn, and the brand end card.

scripts/config.example.json is the worked example (Hype and Vice "Game Day Girls", ~28s 1080×1920 9:16, 14 tableaux); 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 sung anthem (create-music-elevenlabs, force_instrumental false — the lyrics ARE the script, returns mp3 + words_timestamps); one 35mm-film keyframe per beat in one look pack (create-image-fal); and one Kling 3.0 i2v clip per beat (create-video-fal). Given the delivered anthem + words.json + one clip per beat + the brand end-card asset, render-cinematic-music-video cuts each clip to its lyric window, hard-concats on the beat, muxes the anthem, burns the cinematic lower-third captions, and overlays the end card → the master. Re-cuts reuse the existing anthem / keyframes / clips and cost $0.

Contract (the free assembly)

The sung anthem carries the story — no separate VO. The generated ElevenLabs track IS the bed and the script (force_instrumental false); do not add a spoken voiceover or a second bed.
Plan the timeline AROUND the delivered anthem. The anthem is generated first and reshapes/overshoots length; snap every tableau boundary to the lyric-phrase edges in the returned word timings — never trim the anthem to a pre-planned grid.
Captions from the anthem's OWN word timings, not Whisper. Derive words.json from the music model's words_timestamps, chunk ~4 words at lyric boundaries, and burn cinematic lower-third serif captions (--placement low) with the hook line accent-treated (bold-italic). Whisper on sung audio returns "🎵 Music Playing 🎵".
Land the hook on the chorus drop. The hero tableau (is_hook) is timed so the load-bearing line sits on the chorus drop; accent that line in the captions.
One cinematic look pack + hard cuts on the beat. The look pack (named film stock + grain + flares + handheld) plus a continuity anchor holds every clip together; cut each clip to its lyric window and hard-concat (one optional match-cut into the hero reveal) — no dissolves.
End card from the real brand asset — never AI-render the wordmark as diffusion text. Composite the lockup (PIL/ffmpeg) from the real asset or use a designed keyframe base; diffusion garbles a wordmark.
FFmpeg composite, deterministic, FREE. Normalize each clip to its beat-locked window, hard-concat, mux the anthem (afade in/out + loudnorm I=-14), burn the caption ASS, overlay the end card → a 1080×1920 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 Cinematic Music Video AI skill do?

Why use Render Cinematic Music Video on TypingMind?

Because you install it once and use it with any model. Render Cinematic Music Video 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 Cinematic Music Video 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-cinematic-music-video. 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 Cinematic Music Video?

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 Cinematic Music Video?

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

Is the Render Cinematic Music Video 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-cinematic-music-video

Run

Contract (the free assembly)

Bundled files

Frequently asked questions

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