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Ethanzyc/vibe-film

哲学内核驱动的「无口播知识情绪片」生产:2-4 分钟、16:9 横版、无人声,中文主字幕+英文译文同屏, 全片由代码逐帧画出(Canvas/MS 路线 + seek(t) 确定性渲染 + Playwright 截帧 + ffmpeg)。 与同类 skill 的差异在内容层:五问选题门(写不出「献给每一个___的人」不立项)、 九列运动脚本级分镜表(不许一句话意图)、对标帧逆向先于写码、契约基准截图分段并行、 程序化密度自查与 impact 帧级对位。经过 90s 首跑与 135s 正片验证。 用户说「做一支 vibe 知识片 / 无口播知识短片」、给出一个概念要拍成情绪片、 或要求「哲学向知识动画」时使用。有人声口播的讲解片、剪辑已有素材、写实镜头为主的片子不适用。

vibe-film 是什么?

vibe-film is a Claude Code agent skill that 哲学内核驱动的「无口播知识情绪片」生产:2-4 分钟、16:9 横版、无人声,中文主字幕+英文译文同屏, 全片由代码逐帧画出(Canvas/MS 路线 + seek(t) 确定性渲染 + Playwright 截帧 + ffmpeg)。 与同类 skill 的差异在内容层:五问选题门(写不出「献给每一个___的人」不立项)、 九列运动脚本级分镜表(不许一句话意图)、对标帧逆向先于写码、契约基准截图分段并行、 程序化密度自查与 impact 帧级对位。经过 90s 首跑与 135s 正片验证。 用户说「做一支 vibe 知识片 / 无口播知识短片」、给出一个概念要拍成情绪片、 或要求「哲学向知识动画」时使用。有人声口播的讲解片、剪辑已有素材、写实镜头为主的片子不适用。.

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/Ethanzyc/vibe-film/tree/HEAD

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Vibe Film

Turn a "hardcore concept × the thing you think about at night" into a no-voiceover knowledge mood short film: viewers read bilingual subtitles, watch the scene act out the sentence, and end with a line that hits — "Dedicated to everyone who __".

Division of labor: Human’s job = topic gate + shot-by-shot table + direction approval (BGM demo / style frames / ability demo samples) + sign-off. Model’s job = reverse benchmarking + code + render + self-check and rework. Approval items follow rework cost: expensive and hard-to-revert items must be gated (storyboard / style frames / demo / BGM / publish). Programmatically checkable items don’t require human review (technical checks / intra-segment self-checks). Quality comes from storyboard specs and approval gates, not from model improvisation.

Where good films come from: three layers of content density, word-by-word subtitle rhythm, a manually calculable number, audiovisual alignment — but exactly how it moves and how much is decided by the storyboard and emotional arc. The density baseline (storyboard.md) is the floor, locked in. Technique density and variation are the ceiling, open. Everything beyond the baseline is the model’s starting point, not its limit.

Applicability

What the user wantsUse this?
No-voiceover knowledge mood film (concept × emotion, bilingual subtitles, music only)✅
"2AM–vibe" short film on philosophy/science concepts✅
Voiceover explainer, line-by-line teaching, tutorial screencast❌ Voiceover pipeline (TTS)‑driven
Editing/mixing existing footage❌
Predominantly live‑action footage (>50% real/photo‑real feel)❌ Hybrid route (generated assets + code animation), needs discussion

Duration: 90–135s per project (1–4 segments, each ≤45s). 2:40+ extends via 4‑segment scheme. Vertical format not supported (composition natively horizontal).

Model Strengths and Default Pitfalls

  • Strengths: Zero engineering failures under spec‑driven long prompts (tested: four‑segment sub‑agent had zero structural rework); frame‑by‑frame deterministic rendering; can work for extended periods on “render static frame → review → modify”; reliable visual detail execution within the nine‑column constraint.
  • Default pitfalls: When given only a one‑sentence shot intent, the scene falls into a “moving PPT” with a single subject and changing subtitles; without reference frames, aesthetic quality lacks an anchor; free‑form generat...

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