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render-song-mv

Assemble a song-driven video ad from a config, cutting supplied scene clips to the song’s lyric timing and adding synchronized captions and a brand end card. The song serves as the narration, with no separate voiceover. Song, keyframes, and clips must be supplied by upstream generation steps.

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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.

gooseworks-ai/goose-skills1,272 stars(GitHub 1,272 + cccskills 0)
Works withElevenLabs

Run score Not tested

See how to install

Good for

  • Assembling a song-driven video ad
  • Cutting scenes to lyric timing
  • Adding captions synced to sung lyrics
  • Closing a music video ad with a brand end card

Files included (6)

  • SKILL.md4.8 KB
  • scripts/config.example.json16.5 KB
  • scripts/PIPELINE.md5.5 KB
  • scripts/README.md3.4 KB
  • skill.meta.json169 B
  • tests/smoke-test.md1.4 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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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