Render Narrated Ugc Wardrobe Stitch logo

Render Narrated Ugc Wardrobe Stitch

OrganizationPopular
gooseworks-ai
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 locked script), a landing-page scroll rendered as FFmpeg zoompan over a Playwright PNG (not i2v), and closed on the brand's real end-card PNG — never AI-rendered text. This is the FREE deterministic assembly stage (trim-to-EDL + filter_complex concat + VO and music mix + karaoke captions + landing-page zoompan + end-card append); the VO, creator, start-frames, and clips come from create-vo-elevenlabs / create-image-gpt-image-fal / create-image-fal / create-video-fal. Use for the narrated-ugc-wardrobe-stitch format.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namerender-narrated-ugc-wardrobe-stitch
Stars
1.2K
Forks
208
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Render Narrated Ugc Wardrobe Stitch AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/ads/capabilities/render-narrated-ugc-wardrobe-stitch .claude/skills/render-narrated-ugc-wardrobe-stitch
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Render Narrated Ugc Wardrobe Stitch in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Render Narrated Ugc Wardrobe Stitch on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Render Narrated Ugc Wardrobe Stitch is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 + per-cut start-frames (create-image-fal product composites); and one Veo/Seedance i2v clip per cut (create-video-fal). Given the VO + vo-final.words.json + edl.json + one clip per cut + a Playwright landing-page PNG + the brand end-card PNG, render-narrated-ugc-wardrobe-stitch trims each clip to its EDL window, hard-concats on the VO cadence, mixes the VO over the ducked bed, burns the karaoke-pop captions, appends the end card → the master. Re-cuts reuse the existing VO / start-frames / clips and cost $0.

Contract (the free assembly)

  • The spoken VO carries the narrative — lock it FIRST. The VO IS the narration bed; the whole ad is cut to it. Never plan the cut grid before the VO is locked and Whisper-aligned.
  • Build the EDL from the VO's Whisper word boundaries. ~30 role-tagged cuts (hook, feature, reaction-insert, payoff-hold, b-roll-insert, landing-page); snap every cut window to the word boundaries. The payoff line gets a HELD payoff-hold beat (~3× mean shot length).
  • Hard cuts via filter_complex concat, not the demuxer. Trim each clip to its EDL window and hard-concat with filter_complex concat — the -f concat demuxer drops the audio when a drawtext/scale step shaves a clip a few ms below its window. No dissolves.
  • Karaoke-pop captions on every word, throughout. From the VO's vo-final.words.json (VEED Whisper preset, bold yellow), on every word; re-spell brand tokens Whisper mishears against the locked script ("synbiotic" over "symbiotic"; keep "I'ma" verbatim) — never edit the script to match Whisper. Captions are suppressed over the end card. If VEED mis-captions a brand token, hand-patch that sentence with local ASS karaoke.
  • Product B-roll breaks up the talking head. Capsule macro, unboxing, and a landing-page scroll are interspersed with the creator cuts. The landing-page scroll is FFmpeg zoompan over a Playwright-rendered PNG — not an i2v clip (i2v hallucinates the UI).
  • VO over a ducked bed. Mix the optional instrumental bed sidechain-ducked UNDER the VO (−20dB, 20:1) so the VO stays clearly on top; the bed can drop in on the payoff beat.
  • End card via the brand's real PNG — never AI-render brand text. Append the brand's real end-card PNG (~2s) on the tail, captions suppressed. A diffusion model garbles a wordmark.
  • FFmpeg composite, deterministic, FREE. Trim-to-EDL, filter_complex concat, VO+music mix, caption burn, landing-page zoompan, end-card append, loudnorm I=-14 → a 1080×1920 h264+aac master (~37s). No paid calls, no keys.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Render Narrated Ugc Wardrobe Stitch AI 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 th...

Why use Render Narrated Ugc Wardrobe Stitch on TypingMind?

Because you install it once and use it with any model. Render Narrated Ugc Wardrobe Stitch is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Render Narrated Ugc Wardrobe Stitch in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-narrated-ugc-wardrobe-stitch. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Render Narrated Ugc Wardrobe Stitch?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Render Narrated Ugc Wardrobe Stitch?

As many as you like. As long as a model supports skills, you can use Render Narrated Ugc Wardrobe Stitch with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Render Narrated Ugc Wardrobe Stitch AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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