Agent skill · Media & Video

render-narrated-ugc-wardrobe-stitch

Assemble a narrated-UGC "stitch reply" ad from a config — a single spoken VO carries a verbatim testimonial while ~30 per-cut i2v clips (one creator across ~5 wardrobes in ~3 worlds, plus product B-roll) are each trimmed to their EDL window built from the VO's Whisper word boundaries and hard-concatenated via filter_complex concat (never the demuxer, which drops audio on a duration mismatch), the VO mixed over an optional sidechain-ducked instrumental bed (−20dB, 20 to 1) so the VO stays on top, karaoke-pop captions burned on every word throughout (VEED Whisper preset, re-spelled against the l

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add gooseworks-ai/goose-skills --skill render-narrated-ugc-wardrobe-stitch --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/ads/capabilities/render-narrated-ugc-wardrobe-stitch/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# render-narrated-ugc-wardrobe-stitch Assemble a **narrated-UGC "stitch reply"** ad from a config: a fast-cut vertical testimonial where a single spoken VO carries a verbatim ~13-sentence reversal-hook monologue over ONE creator across ~5 wardrobe changes in ~3 micro-worlds, interspersed with product B-roll (capsule macro, unboxing, a landing-page scroll), ~30 hard cuts on the VO cadence, closing on a brand end card. This capability is the **FREE, deterministic assembly** — trim-to-EDL, hard-concat, the VO+music mix, the karaoke-pop caption burn, the landing-page zoompan, and the end-card append. `scripts/config.example.json` is the worked example (Bioma "Do NOT buy Bioma Probiotics", ~37s 1080×1920 9:16, ~30 body cuts + a ~2s end card); `scripts/PIPELINE.md` maps every config block to its source step and `scripts/README.md` documents the free assembly. ## Run This is the **FREE, deterministic** assembly stage — it spends nothing. The paid inputs are separate capabilities — the spoken VO (`create-vo-elevenlabs`) Whisper-aligned so the WORD BOUNDARIES set the cut grid; one locked creator (`create-image-gpt-image-fal` anchor + ~5 wardrobe edits chained off the anchor) + 3 world wides

What's inside
Steps it walks through
  1. Run
  2. Contract (the free assembly)
Ships with 5 files
  • scripts/PIPELINE.md
  • scripts/README.md
  • scripts/config.example.json
  • skill.meta.json
  • tests/smoke-test.md
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About this skill
What does the render-narrated-ugc-wardrobe-stitch skill do?

Assemble a narrated-UGC "stitch reply" ad from a config — a single spoken VO carries a verbatim testimonial while ~30 per-cut i2v clips (one creator across ~5 wardrobes in ~3 worlds, plus product B-roll) are each trimmed to their EDL window built from the VO's Whisper word boundaries and hard-concatenated via filter_complex concat (never the demuxer, which drops audio on a duration mismatch), the VO mixed over an optional sidechain-ducked instrumental bed (−20dB, 20 to 1) so the VO stays on top, karaoke-pop captions burned on every word throughout (VEED Whisper preset, re-spelled against the l

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill render-narrated-ugc-wardrobe-stitch --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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