Render Song Mv Agent Skill
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.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/gooseworks-ai/goose-skills --skill render-song-mvWhat comes with it
25 820 bytes besides the instructionThe instruction itself
3 sections, as written by the authorrender-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 the worked example (Loóna "Fall In
Love With Sleep Again", 28s paper-craft 9:16); scripts/PIPELINE.md maps every config block
to its step and scripts/README.md documents the free assembly.
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 cost $0.
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 the warm-glow 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 real app icon — never AI-render brand text. The lockup is
composited deterministically (brand gradient + circular 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, loudnorm to −14 LUFS → 1080×1920
h264+aac. No paid calls, no keys.
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How to use it
Take gooseworks-ai/render-song-mv from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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.