It seems I was unable to access the content of https://prompts.aiolaola.com. I will proceed with generating the brief based on the README content alone.

This repository provides a structured methodology and prompt library for generating high-quality AI short films, inspired by the critically acclaimed "Zombie Scavenger." It targets engineers, researchers, and power users seeking to leverage advanced prompting techniques with current AI video models like Sora, Kling, and Veo. The core benefit is enabling users to move beyond generic outputs and achieve visceral realism and specific artistic visions in AI-generated video content.

How It Works

The project's core innovation is a structured 5-stage prompt methodology: Core theme, Character & scene, Atmosphere & quality, Camera rules, and Storyboard. This approach guides AI models by specifying concrete details, such as real camera and lens models (e.g., "simulated IMAX film camera + Panavision C-series lens") and describing imperfections ("battle-damaged armor," "minor facial blemishes"). This contrasts with vague descriptors like "cinematic feel," leading to more grounded and visceral realism. The methodology is implemented via a Claude Code Skill, which assists users in constructing these detailed prompts.

Quick Start & Requirements

The primary method of use is via the Claude Code Skill. Installation options include adding the plugin via the marketplace (/plugin marketplace add jnMetaCode/ai-shortfilm-prompts), cloning the repository locally and running claude --plugin-dir ., or manually copying the skill to ~/.claude/skills. The skill is compatible with major AI video generation models including Sora, Kling, Veo, and Seedance. A one-page cheat sheet (cheatsheet.md) offers a quick overview of the entire method.

Highlighted Details

• 5-Stage Prompt Structure: A detailed breakdown of theme, character, atmosphere, camera, and storyboard elements for precise AI control.
• Specificity Over Vagueness: Emphasizes using real-world camera/lens names and describing physical flaws for enhanced realism.
• AI Model Comparison: An extensive table details the capabilities and limitations of various 2026 video models (Seedance, Veo, Kling, Hailuo, Wan, Runway, Pika, Sora) regarding duration, negative prompts, and IP filtering.
• Claude Code Skill: Integrates prompt generation with a 10-item checklist and IP warning system.

Maintenance & Community

The project is maintained by jnMetaCode, building upon the work of Mx-Shell. Community engagement channels include WeChat Official Account "AI 不止语," Douyin @AI不止语 (AIBZY), X @jnMetaCode, and the aiOlaOla platform for free AI programming learning. The roadmap focuses on collecting and structuring methods from more AI short film creators.

Licensing & Compatibility

jnMetaCode's contributions (methodology, templates, Skill) are under the permissive MIT License, allowing for commercial use. However, Mx-Shell's original prompts and detailed excerpts are under All Rights Reserved (ARR), requiring direct contact with Mx-Shell for any commercial application. This dual-licensing structure necessitates careful attention for commercial adoption.

Limitations & Caveats

Commercial use of Mx-Shell's original prompts is restricted due to their ARR license. Users must be aware that AI video model capabilities, particularly regarding prompt adherence, duration limits, and IP filtering, vary significantly. Commercial models employ strict IP filters that can block prompts based on descriptive elements, not just explicit names, posing a challenge for recognizable character designs.