narrated-collage-explainer
Render a square (1080×1080), voiceover-driven explainer or founder-story video in a warm paper-white collage style. One big pixel-type keyword at a time, tiny subtitles synced word by word, and media placed inside objects (a retro CRT TV, an XP-style window on green hills, stacked dark cards, navy starbursts, scattered archival photos), with pixel-block dissolves. It writes the voiceover with OpenAI TTS, gets Whisper word timestamps, and cuts every beat on a spoken cue phrase. Use when the user wants a narrated product explainer, "why we built this" story, launch video for socials (Instagram, LinkedIn, X), a collage or retro-internet aesthetic, or to turn a script plus screenshots and GIFs into a video. Deterministic Python + ffmpeg.
Informações da origem
- Repositório
- Ar9av/framesmith
- Última atividade na origem
- 1 de outubro de 2026 às 21:32
- Idioma detectado do SKILL.md
- inglês
- Estrelas
- 1
- Forks
- 1
Opções de instalação
Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.
Revise os arquivos de origem
Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.
Exibindo SKILL.md
| name | narrated-collage-explainer |
|---|---|
| description | Render a square (1080×1080), voiceover-driven explainer or founder-story video in a warm paper-white collage style. One big pixel-type keyword at a time, tiny subtitles synced word by word, and media placed inside objects (a retro CRT TV, an XP-style window on green hills, stacked dark cards, navy starbursts, scattered archival photos), with pixel-block dissolves. It writes the voiceover with OpenAI TTS, gets Whisper word timestamps, and cuts every beat on a spoken cue phrase. Use when the user wants a narrated product explainer, "why we built this" story, launch video for socials (Instagram, LinkedIn, X), a collage or retro-internet aesthetic, or to turn a script plus screenshots and GIFs into a video. Deterministic Python + ffmpeg. |