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jnMetaCode /ai-shortfilm-prompts

Prompt system that turns ideas into cinematic Sora, Kling, Veo or Seedance prompts
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ai-shortfilm-prompts screenshot from its README
From the ai-shortfilm-prompts README on GitHub.

About ai-shortfilm-prompts

A prompt system for text-to-video models like Sora, Kling, Veo and Seedance. It comes as a Claude Code skill plus a browsable library of templates. You get 21 genre templates, a failure-to-fix gallery and per-model notes. The archived original prompts are Chinese only.

Best for: Video prompt writers who want a repeatable shot-by-shot structure instead of vague wording.

What it does

  • Builds prompts in 5 fixed stages, from style tags to a shot-by-shot storyboard
  • Ships 21 genre templates, including vertical micro-drama, trailer and MV
  • Adds a Claude Code skill with 7 rules and a 10-item output check
  • Compares models on shot length, negative prompts, IP filtering and language
  • Shows common bad output and the fix in a failure-to-fix gallery
  • Gives you reusable negative prompts and 50 camera moves in 5 modules

Quickstart

Rewritten from the README. Check the repo for the latest steps.

  1. 1
    Add the plugin marketplace in Claude Code: the command below
    /plugin marketplace add jnMetaCode/ai-shortfilm-prompts
  2. 2
    Install the plugin: the command below
    /plugin install ai-shortfilm-prompts@ai-shortfilm-prompts
  3. 3
    Invoke the skill with your idea: /ai-shortfilm-prompts:shortfilm-prompt followed by a scene description
  4. 4
    Or clone the repo and run claude --plugin-dir . from inside it
  5. 5
    Or copy the skill globally: the command below
    cp -r ai-shortfilm-prompts/skills/shortfilm-prompt ~/.claude/skills/

Models and languages

Models it works with

  • Seedance 2.0
  • Veo 3 / 3.1
  • Kling 2.x / 3.0
  • Hailuo / MiniMax
  • Sora

Interface and docs

  • English
  • Chinese

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Reviewed Oct 1, 2026. Built from Mx-Shell's published Zombie Scavenger prompts; the repo also promotes the author's course site and OpenShorts. We write these descriptions ourselves. The repo's own docs are the final word.