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kajisho5
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kajisho5/ffmpeg-skill

Local video editor for coding agents: 42 FFmpeg tools with a machine-readable contract and an MCP server, for Claude Code, Cursor and Codex. Cut, captions, reframe, loudness, platform exports. No cloud, no API keys.

Python ◇ agent-skills MIT
★2.1KSTARS
⑂170FORKS
!1ISSUES
🏆#5,424GLOBAL RANK
🔥16DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

ffmpeg-skill is ffmpeg-skill is an open-source project written in Python: Local video editor for coding agents: 42 FFmpeg tools with a machine-readable contract and an MCP server, for Claude Code, Cursor and Codex. Cut, captions, reframe, loudness, platform exports. No cloud, no API keys.. It provides a free, self-hosted open-source alternative to Cursor.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), kajisho5/ffmpeg-skill has accumulated 2,064 GitHub stars and 170 forks. It is written in Python, licensed under MIT, and ranks #5,424 globally. It is actively maintained with the latest commit recorded on Oct 23, 2026.”
Repository kajisho5/ffmpeg-skill ↗
Primary Category agent skills
Language & Stack Python
Software License MIT
Community Traction ★ 2.1K stars · ⑂ 170 forks · #5,424 globally
Maintenance ● Active (Last commit: Oct 23, 2026) · 1 open issues
Replaces SaaS Open Source Cursor Alternative ($20/month per user) →
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: 92/100 · Grade A
✅
Is ffmpeg-skill actively maintained in 2026?
Verdict: Actively Maintained

Yes, ffmpeg-skill is actively maintained. Continuous telemetry recorded the last code commit on Oct 23, 2026 (19 days ago). Supported by 2,064 stars and 170 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (19 days ago) and healthy issue cadence.

Commit Recency
Oct 23, 2026
19 days since last push
Issue Backlog
1 Open Issues
Healthy Issue Cadence
Community Backing
170 Forks
2.1K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for kajisho5/ffmpeg-skill
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Momentum

+620

STARS · LAST 30 DAYS

21

PER DAY

#786

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+620+1.9K
Per day12121
Forks gained+0+52+10

ffmpeg-skill gained 620 stars in the last 30 days, about 21 a day, and now has 2.1K. It is about 1 year old and has averaged roughly 2.1K stars a year. It ranks #786 among Python repositories and #5,424 across all languages on GitHubRepo.

Trending Record

ffmpeg-skill has maintained a continuous presence across global trending indexes, peaking at #120. Below is the 30-day activity profile:

💡 Overview

ffmpeg-skill is an open-source project written in Python: Local video editor for coding agents: 42 FFmpeg tools with a machine-readable contract and an MCP server, for Claude Code, Cursor and Codex. Cut, captions, reframe, loudness, platform exports. No cloud, no API keys.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, ai-agents, audio-processing. 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 ffmpeg-skill

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

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

2

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

3

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

4

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

👍 Strengths

Active community backing with 2,064 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

💡
Open Source Alternative to Cursor Replaces proprietary subscriptions ($20/month per user) with self-hosted freedom.
Explore all Cursor alternatives →
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A collective list of free APIs

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The agent that grows with you

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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

kajisho5/ffmpeg-skill is currently ranked #5,424 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does ffmpeg-skill do? +

Local video editor for coding agents: 42 FFmpeg tools with a machine-readable contract and an MCP server, for Claude Code, Cursor and Codex. Cut, captions, reframe, loudness, platform exports. No cloud, no API keys.

Is ffmpeg-skill actively maintained in 2026? +

Yes, ffmpeg-skill is actively maintained. The latest code push was recorded on Oct 23, 2026 (19 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 2,064 stars and 1 open issues.

What language is ffmpeg-skill written in? +

The primary language is Python. Topics include: agent-skills, ai-agents, audio-processing, captions, claude-code.

How many stars does ffmpeg-skill have? +

ffmpeg-skill has 2,064 stars and 170 forks on GitHub.

How does ffmpeg-skill rank among GitHub repositories? +

With 2,064 stars, kajisho5/ffmpeg-skill is ranked #5,424 globally across all repositories tracked on GitHubRepo and #786 among Python projects.

What license is ffmpeg-skill distributed under? +

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

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