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Render value prop

Skill gooseworks-ai/goose-skills/skills/ads/capabilities/render-value-prop

Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping

Install
npx -y skills add gooseworks-ai/goose-skills --skill render-value-prop

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What its author says it does

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Render a designed 'value prop' video from a config — 3-5 noun-phrase benefit claims (<=4 words each) revealed sequentially over per-SKU product visuals, one crisp editorial frame per claim (hook sticker -> N claim beats -> brand end card). Deterministic PIL/HTML beat renderer frame-stepped via Playwright and encoded with FFmpeg, sound-off legible, hard cuts, uniform pacing. FREE (no paid calls); music is added separately (create-music-elevenlabs). Use for the value-prop format.

SKILL.md

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render-value-prop

Render a designed 'value prop' video from a config: a hook sticker, then one beat per short noun-phrase benefit claim (<=4 words each — "Drug-Free", "Zero Sugar", "NSF Certified"), each pairing the claim headline with a per-SKU product visual (the hero SKU rotates beat to beat so the eye anchor shifts), then a brand-wordmark end card. Text + product carry the spot — no narration, no talking head — and it is built to be legible sound-off. Every beat is a pure function of beat-local time t (deterministic PIL start frames + Playwright hyperframes + FFmpeg); no CSS keyframes, no setTimeout. FREE (no paid calls); music is a separate capability (create-music-elevenlabs), or ship silent for $0.

Run

render_master.py --config config.json --project <dir> -> <dir>/finals/master-clean.mp4 (silent), 1080x1920, deterministic, $0. The renderer is fully config-driven — palette, copy, SKUs, pacing, hook, logo and end card all come from config.json (schema = ad_sample.recipe.config; see config.example.json). Nothing is hardcoded to one brand. build_storyboard_preview.py is an optional free preview gallery for the gate; build_text_overlays.py is optional (transparent text-zone PNGs for compositing claims over a motion clip).

Environment: run with a Python that has Playwright (override the frame-render interpreter with RENDER_PYTHON); ffmpeg is auto-discovered (FFMPEG env > PATH > common prefixes). The frame renderer render_hyperframe.py is bundled in scripts/ — no external atom to fetch.

Contract

  • Deterministic + FREE (Playwright frame-step + FFmpeg); no paid calls, no AI-rendered text.
  • Claims are noun phrases, <=4 words; never <3, never >5. Optional benefit sentence <=12 words.
  • One product visual per beat; rotate which SKU is the hero. Never reuse a flat variety-pack image as every canvas.
  • Sound-off legibility is the bar: the headline uses the config palette.ink color on palette.bg; the per-beat accent color (from value_props[].accent — a SKU-accent slug or a hex) is the accent rule, not the headline.
  • Product widths auto-scale from each image's aspect ratio (target display height), so tall sachet cutouts and wide product packshots both frame correctly.
  • Assets are packshots, not always transparent cutouts: set palette.bg to the product image's background color for seamless compositing (free — avoids a paid background-removal step).
  • Uniform pacing (hook ~3.0s, props 2.0-2.5s each, endcard ~2.0s); total lands in the 10-20s window (~17s). No acceleration curve.
  • No human face is the focus. End card uses the brand wordmark image when a hi-res one (aspect >= ~1.2, i.e. a real >=1200x600 wordmark) is provided via config.logo; otherwise it falls back to a typographic brand_name wordmark (many brands ship only a favicon).
  • Music is added separately by create-music-elevenlabs (quiet instrumental bed at -14 dB), or ship silent.

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