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Moh4696
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Moh4696/cinematic-skill

Agent skill for narrated cinematic films built entirely from code: one continuous camera over photos, maps and cards, timed to the voice. Claude Code, Codex, Cursor, Gemini CLI.

Python ◇ agent-skills MIT
★137STARS
⑂8FORKS
!0ISSUES
🏆#22,169GLOBAL RANK
🔥1DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

cinematic-skill is cinematic-skill is an open-source project written in Python: Agent skill for narrated cinematic films built entirely from code: one continuous camera over photos, maps and cards, timed to the voice. Claude Code, Codex, Cursor, Gemini CLI..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Moh4696/cinematic-skill has accumulated 137 GitHub stars and 8 forks. It is written in Python, licensed under MIT, and ranks #22,169 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
Repository Moh4696/cinematic-skill ↗
Primary Category agent skills
Language & Stack Python
Software License MIT
Community Traction ★ 137 stars · ⑂ 8 forks · #22,169 globally
Maintenance ● Active (Last commit: Nov 9, 2026) · 0 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is cinematic-skill actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, cinematic-skill is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (1 days ago). Supported by 137 stars and 8 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 9, 2026
1 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
8 Forks
137 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for Moh4696/cinematic-skill
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,962

MOST-STARRED Python

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

cinematic-skill gained 10 stars in the last 30 days, about 1 a day, and now has 137. It is about 1 year old and has averaged roughly 137 stars a year. It ranks #2,962 among Python repositories and #22,169 across all languages on GitHubRepo.

Trending Record

cinematic-skill has maintained a continuous presence across global trending indexes, peaking at #21472. Below is the 30-day activity profile:

💡 Overview

cinematic-skill is an open-source project written in Python: Agent skill for narrated cinematic films built entirely from code: one continuous camera over photos, maps and cards, timed to the voice. Claude Code, Codex, Cursor, Gemini CLI.

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

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

cinematic-skill 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 cinematic-skill.

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 cinematic-skill using your package manager: `pip install cinematic-skill`

2

Initialize your project workspace or configuration file for cinematic-skill.

3

Import cinematic-skill into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 137 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

Moh4696/cinematic-skill is currently ranked #22,169 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#22,104 nzbfast/nzbfast Rust ★ 138 Compare ↗
#22,104 twinksoftware/Gearslip Kotlin ★ 138 Compare ↗
#22,104 MIXIDtheSilly/Refract C++ ★ 138 Compare ↗
#22,104 yuhengqin/Quotern TypeScript ★ 138 Compare ↗
#22,104 Robbyant/lingbot-touch Python ★ 138 Compare ↗
#22,169 Moh4696/cinematic-skill This Project Python ★ 137
#22,169 danwrong/low-pro-for-jquery JavaScript ★ 137 Compare ↗
#22,169 pat/riddle Ruby ★ 137 Compare ↗
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Frequently Asked Questions

What does cinematic-skill do? +

Agent skill for narrated cinematic films built entirely from code: one continuous camera over photos, maps and cards, timed to the voice. Claude Code, Codex, Cursor, Gemini CLI.

Is cinematic-skill actively maintained in 2026? +

Yes, cinematic-skill is actively maintained. The latest code push was recorded on Nov 9, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 137 stars and 0 open issues.

What language is cinematic-skill written in? +

The primary language is Python. Topics include: agent-skills, claude-code, codex, documentary, explainer-video.

How many stars does cinematic-skill have? +

cinematic-skill has 137 stars and 8 forks on GitHub.

How does cinematic-skill rank among GitHub repositories? +

With 137 stars, Moh4696/cinematic-skill is ranked #22,169 globally across all repositories tracked on GitHubRepo and #2,962 among Python projects.

What license is cinematic-skill distributed under? +

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

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