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Render Vignette Agent Skill

Assemble a short-form 'vignette' ad from clean product cutouts composited over a kinetic background video — birefnet cutout, then a cold-open text card + product carousel + annotated specimen-sheet end card, plus loudnorm + separate-pass music mux. FREE assembly (PIL + rsvg + FFmpeg); the recipe supplies the config and gates the paid BG/cutout/music calls to their own capabilities. Use for the vignette format.

7k tokens
context cost
the whole folder, loaded on every use
7
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
1086
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/gooseworks-ai/goose-skills --skill render-vignette

What comes with it

22 436 bytes besides the instruction
scripts/composite_variants.py
scripts/music_and_mux.py
scripts/render_overlays.py
scripts/strip_product_backgrounds.py
skill.meta.json
tests/smoke-test.md

The instruction itself

4 sections, as written by the author

render-vignette

Assemble a short-form 'vignette' ad from clean product cutouts composited over a kinetic background video. Motion lives in the BG video; the product rides on top as a static cutout layer. Music-led, zero VO, sub-12s, loopable — it reads muted because the product label + on-screen copy carry the message. Defaults to the V-CARD structure: a cold-open text card → a product carousel under one shared BG → an annotated specimen-sheet end card.

Run

  • strip_product_backgrounds.py — birefnet cutout of each PDP shot to clean hard-edge alpha (no halo/shadow).
  • render_overlays.py — PIL + rsvg-convert render the cold-open card (Boska Black, dead-center) + the annotated specimen-sheet end card (brand SVG logo + Space Grotesk annotations) as transparent 1080x1920 PNGs. FREE.
  • composite_variants.py — one FFmpeg filter_complex per BG variant: BG (palette-aware dim) → cold-open overlay → cutouts (width-anchored, vertically centered y=(H-h)/2) → end card. h264 crf20 yuv420p +faststart 30fps. FREE.
  • music_and_mux.py — instrumental music bed → acompressor + loudnorm I=-18:TP=-2:LRA=9 → muxed into every variant in a SEPARATE pass with explicit -map 0:v:0 -map 1:a:0. The mux is FREE; the music generation is a paid call that in prod routes through create-music-elevenlabs.

Contract

  • FREE assembly: birefnet cutout (see gap below) + PIL/rsvg overlays + FFmpeg composite + mux. No AI-rendered text; the product art/labels and on-screen copy are real, never invented.
  • The template recipe (DB) supplies the per-brand config (products, cold-open text, end-card lines, BG concept, beat timing). This capability is the generic assembler.
  • Craft rules preserved from the source molecule:
  • Cutouts stripped clean (no halo/shadow), height-anchored at vertical-center (y=(H-h)/2) so mixed-shape SKUs share one visual mid-line — never bottom-anchor (squat jars jump). For 9:16 scale by WIDTH (~75% tall bottles, ~65% squat jars).
  • Palette-aware BG dim: high-contrast/chrome BG → push saturation DOWN hard (saturation=0.50); naturally-contrasty BG → lighter dim (saturation=0.85).
  • End card = annotated specimen-sheet (EST year + rule + wordmark + rule + ingredient + positioning + claim), never a bare logo. Use the WHITE logo variant on dark BGs, cream on light.
  • Music-led, NO VO — instrumental only (VO/lyrics would fight the cold-open + end-card text). Loudnorm before the mux.
  • Mux is a SEPARATE FFmpeg pass with explicit -map 0:v:0 -map 1:a:0 (single-pass composite+mux silently ships 1 kbps garbage audio).

Gaps / routing notes

  • birefnet is a paid FAL model, not free. strip_product_backgrounds.py calls fal-ai/birefnet/v2 directly via a fal_helpers shim (sys.path.insert into a shared atoms dir + from fal_helpers import ...). It is bundled here because the cutout is an intrinsic assembly step, but in prod the birefnet cutout should route through create-image-fal (the fal-proxy capability that bills the Ads agent) rather than hitting fal.run directly. Treat the direct-fal path as a gap to close; the recipe gates the cutout to gooseworks fetch create-image-fal.
  • Background sourcing is not in this capability. The kinetic BG is sourced upstream — PEXELS-FIRST (free stock, the key cost lever), falling back to T2V (create-video-fal) only when stock coverage fails — and dropped into source/t2v-outputs/<slug>.mp4 so the composite is source-agnostic. There is no Pexels fetcher bundled here; that lives in the recipe's playbook.
  • music_and_mux.py also uses the fal_helpers shim for the ElevenLabs music generation; in prod that generation routes through create-music-elevenlabs, and only the loudnorm + separate-pass mux run locally as FREE assembly.

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How to use it

Copy the folder

Take gooseworks-ai/render-vignette from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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.