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jnMetaCode/ai-shortfilm-prompts

Claude Code Skill that turns any idea into a cinematic, model-ready video prompt — Sora · Kling · Veo · Seedance. 21 genre templates, 5-stage structure, eval-tested. Distilled from the AI short Hollywood director PJ Ace called "one of the best short films I've seen in years."

Python ◇ ai-video MIT
★446STARS
⑂86FORKS
!1ISSUES
🏆#3,801GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for jnMetaCode/ai-shortfilm-prompts
CSV

Momentum

+11

STARS · LAST 30 DAYS

1

PER DAY

#458

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+11+90
Per day111
Forks gained+1+3+10

ai-shortfilm-prompts gained 11 stars in the last 30 days, about 1 a day, and now has 446. It is about 1 year old and has averaged roughly 446 stars a year. It ranks #458 among Python repositories and #3,801 across all languages on GitHubRepo.

Trending Record

ai-shortfilm-prompts has maintained a continuous presence across global trending indexes, peaking at #3625. Below is the 30-day activity profile:

💡 Overview

ai-shortfilm-prompts is an open-source project written in Python: Claude Code Skill that turns any idea into a cinematic, model-ready video prompt — Sora · Kling · Veo · Seedance. 21 genre templates, 5-stage structure, eval-tested. Distilled from the AI short Hollywood director PJ Ace called "one of the best short films I've seen in years.".

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-video, chinese, cinematic. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install ai-shortfilm-prompts

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ai-shortfilm-prompts coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with ai-shortfilm-prompts.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install ai-shortfilm-prompts using your package manager: `pip install ai-shortfilm-prompts`

2

Initialize your project workspace or configuration file for ai-shortfilm-prompts.

3

Import ai-shortfilm-prompts into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `ai-shortfilm-prompts --help` to verify successful setup.

👍 Strengths

Active community backing with 446 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

jnMetaCode/ai-shortfilm-prompts is currently ranked #3,801 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#3,797 philnash/bitly Ruby ★ 448 Compare ↗
#3,797 KnowageLabs/Knowage-Server Java ★ 448 Compare ↗
#3,797 semantic-release/commit-analyzer JavaScript ★ 448 Compare ↗
#3,800 evangelosvlachos96-dotcom/booking-microservices C# ★ 447 Compare ↗
#3,801 jnMetaCode/ai-shortfilm-prompts This Project Python ★ 446
#3,801 django-getpaid/django-getpaid Python ★ 446 Compare ↗
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Frequently Asked Questions

What does ai-shortfilm-prompts do? +

Claude Code Skill that turns any idea into a cinematic, model-ready video prompt — Sora · Kling · Veo · Seedance. 21 genre templates, 5-stage structure, eval-tested. Distilled from the AI short Hollywood director PJ Ace called "one of the best short films I've seen in years."

What language is ai-shortfilm-prompts written in? +

The primary language is Python. Topics include: ai-video, chinese, cinematic, cinematic-prompts, claude-code.

Is ai-shortfilm-prompts actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 1 open issues being tracked.

How many stars does ai-shortfilm-prompts have? +

ai-shortfilm-prompts has 446 stars and 86 forks on GitHub.

How does ai-shortfilm-prompts rank among GitHub repositories? +

With 446 stars, jnMetaCode/ai-shortfilm-prompts is ranked #3,801 globally across all repositories tracked on GitHubRepo and #458 among Python projects.

What license is ai-shortfilm-prompts distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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