CtrlK
BlogDocsLog inGet started
Tessl Logo

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 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.

65

Quality

78%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/ads/capabilities/render-song-mv/SKILL.md
SKILL.md
Quality
Evals
Security

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 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.
Repository
gooseworks-ai/goose-skills
Last updated
First committed

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.