goose-ads
Edit, resize, animate and study image ads with GooseWorks in this chat. New static or image ads go to the make-static-ads skill…
Render a 'model comparison grid' video from a config — a fal-style "same prompt, N contenders" showcase — a dark real-DOM stage where per beat a monospace prompt fades in centered, docks to a small top strip, then a labeled 2-4 panel grid (static images OR muted video clips,
Claude Code
$ npx -y skills add gooseworks-ai/goose-skills --skill render-model-comparison-grid --agent claude-code
Codex
$ npx skills add gooseworks-ai/goose-skills --skill render-model-comparison-grid -a codex -y
Cursor
$ npx skills add gooseworks-ai/goose-skills --skill render-model-comparison-grid -a cursor -y
Gemini CLI
$ npx skills add gooseworks-ai/goose-skills --skill render-model-comparison-grid -a gemini-cli -y
GitHub Copilot
$ npx skills add gooseworks-ai/goose-skills --skill render-model-comparison-grid -a github-copilot -y
OpenCode
$ npx skills add gooseworks-ai/goose-skills --skill render-model-comparison-grid -a opencode -y
Windsurf
$ npx skills add gooseworks-ai/goose-skills --skill render-model-comparison-grid -a windsurf -y
name: render-model-comparison-grid description: Render a 'model comparison grid' video from a config — a fal-style "same prompt, N contenders" showcase — a dark real-DOM stage where per beat a monospace prompt fades in centered, docks to a small top strip, then a labeled 2-4 panel grid (static images OR muted video clips, mixable per cell) staggers in and holds for comparison, plus a minimal end card — frame-stepped via Playwright (video cells are frame-seeked deterministically) and encoded with FFmpeg. Deterministic assembly, FREE (cell media comes from create-image-fal / create-video-fal, music from create-music-elevenlabs), text stays pixel-crisp. Use for the model-comparison-grid format. status: active
Render the 'model comparison grid' format from a config. The signature of this format is a **"Same prompt. N models."** gauntlet: a dark stage where, per beat, a `PROMPT` eyebrow + the (condensed) prompt **fades in** centered in monospace and holds readable ~0.8s, then docks to a small top strip while a **grid of 2-4 labeled panels** staggers in (0.15s apart) and holds for side-by-side comparison. A persistent model/variant label sits under each panel; column order is identical on every beat. Ends on a minimal end card (headline + column names only — **no meta-stats line**).
The grid is **media-agnostic per cell**: any cell is a static image or a **muted video clip** (i2v outputs, screen recordings), mixable within one beat. Video cells loop during the hold and are **frame-seeked deterministically** (the renderer awaits each seek), so the render never depends on wall-clock playback timing.
The renderer itself is FREE/deterministic (Playwright frame-step + FFmpeg). The paid inputs are separate capabilities: the cell **images** come from `create-image-fal`, the cell **clips** from `create-video-fal`, and the **music bed** from `create-music-elevenlabs`. Prompt text and labels are real DOM — never AI-rendered.
Default shape: 5 beats × 4.5s + 2.5s end card = 25.0s @ 1280×720/30fps, all configurable from one `config.json`.
build_composition.py --config config.json --output hyperframe.html ; render_seekable_hyperframe.py hyperframe.html master-silent.mp4 <duration> --fps 30 --width 1280 --height 720 — dark stage, staggered grid, deterministic, no paid calls. The config schema is documented at the top of `scripts/build_composition.py`; `scripts/config.example.json` IS the shipped worked example (re-point the cell paths at your own media; its contenders, beat axes, prompts, end-card copy and music prompt are the demo's — the recipe's user choices supply yours, never copy them as defaults).
`build_composition.py` validates every cell path and the column count (2-4), infers each cell's media type from its extension (`.png/.jpg/.jpeg/.webp` → image; `.mp4/.mov/.webm/.m4v` → muted video), and emits a self-contained HTML that exposes `window.mediaReady()` + `window.renderAt(t)`. `render_seekable_hyperframe.py` awaits both, so `<video>` cells seek to the right frame before each screenshot — never a frozen first frame.
capabilities.
(Playwright scrubbing traps delayed animations in pre-state).
ProRes to H.264 first). An images-only grid has no decode dependency.
Put your AI agent on the growth team. Research customers and competitors, analyze what is working, create the next campaign, and learn from the result.
Edit, resize, animate and study image ads with GooseWorks in this chat. New static or image ads go to the make-static-ads skill…
Make product photos (studio, lifestyle or on a model) of a brand's real products with GooseWorks in this chat. Start brand work…
Make an approved GooseWorks video when an answer's next_step gives its command.
Make a video ad in this chat from a real reference ad, found or theirs; styles are the fallback. Follow every answer's next_step.
GooseWorks growth coworker and router for markets, competitors, audiences, creators, campaigns, ads, photos, graphics, video,…
Create a custom video with sourced product accuracy, explicit sound routing and exact-final audiovisual review.
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use…
Comprehensive SEO analysis for any website or business type. Full site audits, single-page analysis, technical SEO (crawlability,…
Turn the current project website into a short, polished, shareable launch video using Hyperframes. Use when someone says "/brag",…
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit…