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Leonxlnx
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Leonxlnx/cinetic

Cinematic launch films and motion design from code, directed by your coding agent.

Python ◇ agent-skills MIT
★118STARS
⑂14FORKS
!1ISSUES
🏆#14,146GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,775

MOST-STARRED Python

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

cinetic gained 10 stars in the last 30 days, about 1 a day, and now has 118. It is about 1 year old and has averaged roughly 118 stars a year. It ranks #1,775 among Python repositories and #14,146 across all languages on GitHubRepo.

Trending Record

cinetic has maintained a continuous presence across global trending indexes, peaking at #1494. Below is the 30-day activity profile:

💡 Overview

cinetic is an open-source project written in Python: Cinematic launch films and motion design from code, directed by your coding agent.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, claude-code, claude-skills. 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 cinetic

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

cinetic 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 cinetic.

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 cinetic using your package manager: `pip install cinetic`

2

Initialize your project workspace or configuration file for cinetic.

3

Import cinetic into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `cinetic --help` to verify successful setup.

👍 Strengths

Active community backing with 107 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.

⇄ Alternatives & Direct Competitors

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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

Leonxlnx/cinetic is currently ranked #14,146 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#14,094 agentdesktop-dev/agentdesktop Rust ★ 119 Compare ↗
#14,094 sparkgeo/geo-mcp-servers Python ★ 119 Compare ↗
#14,094 WSL043/dsh-codex-subscription JavaScript ★ 119 Compare ↗
#14,094 J3n5en/EnsoCode TypeScript ★ 119 Compare ↗
#14,094 Mengqi-Lei/texglot Python ★ 119 Compare ↗
#14,146 Leonxlnx/cinetic This Project Python ★ 118
#14,146 mdarby/restful_acl Ruby ★ 118 Compare ↗
#14,146 danielharan/semantic-menu Ruby ★ 118 Compare ↗
#14,146 bigfolio/big-help Ruby ★ 118 Compare ↗
#14,146 chef/mixlib-cli Ruby ★ 118 Compare ↗
#14,146 rubymood/jintastic Ruby ★ 118 Compare ↗
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Frequently Asked Questions

What does cinetic do? +

Cinematic launch films and motion design from code, directed by your coding agent.

What language is cinetic written in? +

The primary language is Python. Topics include: agent-skills, claude-code, claude-skills, launch-video, motion-design.

Is cinetic actively maintained? +

Yes, the last recorded push was on Oct 5, 2026 with 1 open issues being tracked.

How many stars does cinetic have? +

cinetic has 118 stars and 14 forks on GitHub.

How does cinetic rank among GitHub repositories? +

With 118 stars, Leonxlnx/cinetic is ranked #14,146 globally across all repositories tracked on GitHubRepo and #1,775 among Python projects.

What license is cinetic distributed under? +

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

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