跳到正文
cccskills
免费在 GitHub 公开

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.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(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(原文)

安装前可以查看交给 AI 代理的指令内容。

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).

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

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.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

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.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

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.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

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.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

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).

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

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.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

查看 gooseworks-ai 的全部技能

报告此技能的问题