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/render-song-mv

Assemble a song-driven music-video ad from a config — a generated sung track carries the whole narration across N tableaux (one keyframe -> one i2v clip per lyric beat) with NO separate voiceover, captions synced to the song's OWN word timings (script-window, never Whisper) and

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$ npx -y skills add gooseworks-ai/goose-skills --skill render-song-mv --agent claude-code

SKILL.md

render-song-mv.SKILL.md
name: render-song-mv
description: Assemble a song-driven music-video ad from a config — a generated sung track carries the whole narration across N tableaux (one keyframe -> one i2v clip per lyric beat) with NO separate voiceover, captions synced to the song's OWN word timings (script-window, never Whisper) and the hook word landing on the chorus drop, closed on a PIL brand end card. This is the FREE deterministic assembly stage (clip cut-to-timeline + captions + end card + FFmpeg composite); the song, keyframes, and clips come from create-music-elevenlabs / create-image-fal / create-video-fal. Use for the song-driven-music-video format.
status: active

render-song-mv

Assemble a song-driven music-video ad from a config: a purpose-written, **sung** song is the entire narration (no separate voiceover), and every visual beat is timed to the lyrics. The delivered song sets the timeline; N tableaux (one keyframe → one image-to-video clip per lyric beat, all in a single look pack) are cut to their lyric windows and hard-concatenated on the beat, captions are built from the song's OWN word timings with the hook line landing on the chorus drop, and the spot closes on a PIL brand end card. It reads like a tiny animated music video, not a demo. `scripts/config.example.json` is one worked example (Fernhollow "Bring The Green Back Home", 28s paper-craft 9:16) — its style, song, vocalist, mood, protagonist and setting are that demo's answers, not defaults; `scripts/PIPELINE.md` maps every config block to its step and `scripts/README.md` documents the free assembly.

Choices

The creative calls are made upstream by the user (the recipe's `choices`) and arrive in the config; this assembly never picks them.

  • **visual_style** → `look_pack`, `clip_engine.motion_opener`. The demo used a paper-craft diorama

on a rainy morning.

  • **song_genre** → `song.prompt` / `song.bpm`. The demo used breezy bedroom-pop at ~80 BPM.
  • **vocalist** → `song.prompt`. The demo used a warm, airy male lead.
  • **mood** → `song.prompt`, the lyrics, `tableaux`. The demo went grey and stuck → fresh and hopeful.
  • **protagonist** → `look_pack.style_opener`. The demo used a young-man paper-doll.
  • **setting** → `tableaux[].keyframe_prompt`. The demo went grey apartment → paper indoor jungle.

Run

This is the **FREE, deterministic** assembly stage — it spends nothing. The three paid inputs are separate capabilities: the sung song (`create-music-elevenlabs`, music_v1, force_instrumental FALSE — the lyrics ARE the script, returns mp3 + `words.json`), one keyframe per tableau (`create-image-fal`), and one Kling 3.0 i2v clip per tableau (`create-video-fal`). Given the delivered song + `words.json` + one clip per beat, `render-song-mv` cuts each clip to its lyric window, hard-concats on the beat, builds the lyric-synced captions, composites the PIL end card, and muxes → the master. Re-cuts reuse the existing song / keyframes / clips and spend nothing.

Contract (the free assembly)

  • **The sung song carries the narration — 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 music bed.

  • **Plan the timeline AROUND the delivered song.** The song is generated first and reshapes/

overshoots length; snap every tableau boundary to the lyric-phrase edges in the returned word timings (`timeline.json`) — never trim the song to a pre-planned grid.

  • **Captions from the song's OWN word timings, not Whisper (script-window).** Chunk

`audio/words.json` (~3 words at lyric boundaries); accent words get `captions.accent_color`. Whisper on sung audio returns "🎵 Music Playing 🎵", so it can't caption lyrics.

  • **Land the hook on the chorus drop.** Exactly ONE hero tableau (`is_hook`) is timed so the

payoff word (`song.hook_word`) sits on the chorus drop; accent that word in the captions.

  • **One look pack for consistency.** A single `style_opener` + `negative_tail` + palette drives

every keyframe so N beats read as one film; no morph within a clip.

  • **Hard cuts on the beat.** Cut each clip to its lyric window and hard-concat — no dissolves

(one optional match-cut into the hero reveal).

  • **PIL end card from the brand's real asset (e.g. a logo mark or app icon) — never AI-render brand text.** The lockup is

composited deterministically (brand gradient + circular logo mark or app icon + wordmark + tagline + CTA) from the brand's real asset; a diffusion model garbles a wordmark.

  • **FFmpeg composite, deterministic, FREE.** Burn the caption ASS, overlay the end-card PNG on

the final window, mux the song, boost the climax beat (`audio_mix.climax_beat_id` — set it to this run's hook tableau; the demo's `T08` is example-only), loudnorm to −14 LUFS → 1080×1920 h264+aac. No paid calls, no keys.

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Questions about render-song-mv.

Which coding agents can use render-song-mv?
render-song-mv installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.