Skip to content
cccskills
FreePublished on GitHub

compose-creator-layer

Composite a generated creator track into a product layer, per beat — in the creator's zone on split beats (either side of a seam), full frame on creator beats, hidden on product beats — with the creator's voice as the audio (loudness -14 LUFS) and an optional ducked music bed, or a music-only or silent master for voiceless formats. Free, local ffmpeg. Pairs with footage-cutlist (the layer) and create-creator-takes-h3 (the creator). Use for split-screen (with an optional zoom and brand-colour seam bar), screen-insert and any creator-over-product format.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills
See how to install

Files included (5)

  • SKILL.md3.2 KB
  • scripts/compose.py7.2 KB
  • skill.meta.json316 B
  • tests/smoke-test.md383 B
  • tests/test_compose_split.py2.9 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

compose-creator-layer

Run

python compose.py --layer layer.mp4 --beats cutlist.aligned.json --creator creator.mp4 \
    --out reel.mp4 [--music bed.mp3 --music-db -20] [--head 0.30] \
    [--zoom 1.15] [--divider '#RRGGBB' --divider-px 4]
  • --layer: footage-cutlist cut.py output rendered from the same cut list as --beats (re-render it after align_beats.py). --draft layers are refused.
  • --creator: create-creator-takes-h3 join_takes.py output, reel time from 0.
  • --audio creator|music|none: the voice (+ ducked --music), the --music bed alone (voiceless paid ads), or a silent master (organic posts: the track is added in-platform at upload, which is licensed for organic use only).
  • The creator track may be shorter than the reel (a 2.3s reaction hook): it only shows during its own creator beats.
  • --head: where the crop sits vertically when the creator is scaled to cover an area (0 keeps the top, 0.5 centres). 0.30 keeps the head in the upper third.

Split screen

The split-screen creator look (product on top, the creator talking below) is this atom with split beats; it replaces render-split-screen-creator.

  • The product zone comes from the layer: in the footage-cutlist cut list set the seam (even, about 52% of the height for product on top) and creator_side: "bottom", fit each 16:9 product clip by width, and set bg: "blur" so the margins are a darkened blur of the same clip, never black bars. Window each clip to the moment that proves its line; never loop a short clip.
  • The creator zone: --zoom 1.15 to 1.2 with --head pushes a webcam-distance take in to head and shoulders. Tune it by eye against the reference; a re-run is free. Zoom cannot rescue a take shot too close, so the creator still should be a candid medium shot (chest up, real room), not a plain-background headshot.
  • The seam: --divider '#RRGGBB' draws a brand-colour bar centred on the seam (default 4 px, even) on split beats only.
  • Audio: the creator's voice is the whole bed; leave out --music for this look.

Rules

  1. Crop from the take's real size, never a hard-coded height. A hard-coded 1080 once cropped the top half of an upscaled take and blew it up.
  2. No grade. Chasing a saturation or warmth reading was tried twice and both looked wrong. The take goes in as generated.
  3. The voice leads. A music bed is ducked under the voice (sidechain); the mix is normalised to -14 LUFS.
  4. Captions come after this (caption-burn, transcribed from this output).

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

ad-angle-miner

Free

Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 23, 2026

ad-campaign-analyzer

Free

Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 23, 2026

ad-lead-quality-analyzer

Free

For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 23, 2026

ad-management-intake

Free

The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 23, 2026

ad-policy-check

Free

Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 23, 2026

ad-to-landing-page-auditor

Free

Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 23, 2026

See all skills by gooseworks-ai

Report a problem with this skill