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brenoepics/video-to-skill

Turn any tutorial video into a verified, installable AI-agent skill. Reads the screen, not the transcript. Runs locally. MIT.

Rust ◇ agent-skills MIT
★169STARS
⑂15FORKS
!8ISSUES
🏆#20,844GLOBAL RANK
🔥6DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

video-to-skill is video-to-skill is an open-source project written in Rust: Turn any tutorial video into a verified, installable AI-agent skill. Reads the screen, not the transcript. Runs locally. MIT..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), brenoepics/video-to-skill has accumulated 169 GitHub stars and 15 forks. It is written in Rust, licensed under MIT, and ranks #20,844 globally. It is actively maintained with the latest commit recorded on Nov 4, 2026.”
Repository brenoepics/video-to-skill ↗
Primary Category agent skills
Language & Stack Rust
Software License MIT
Community Traction ★ 169 stars · ⑂ 15 forks · #20,844 globally
Maintenance ● Active (Last commit: Nov 4, 2026) · 8 open issues
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

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

Yes, video-to-skill is actively maintained. Continuous telemetry recorded the last code commit on Nov 4, 2026 (9 days ago). Supported by 169 stars and 15 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 4, 2026
9 days since last push
Issue Backlog
8 Open Issues
Healthy Issue Cadence
Community Backing
15 Forks
169 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for brenoepics/video-to-skill
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,967

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

video-to-skill gained 10 stars in the last 30 days, about 1 a day, and now has 169. It is about 1 year old and has averaged roughly 169 stars a year. It ranks #1,967 among Rust repositories and #20,844 across all languages on GitHubRepo.

Trending Record

video-to-skill has maintained a continuous presence across global trending indexes, peaking at #18926. Below is the 30-day activity profile:

💡 Overview

video-to-skill is an open-source project written in Rust: Turn any tutorial video into a verified, installable AI-agent skill. Reads the screen, not the transcript. Runs locally. MIT.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, ai-agents, ai-skill. 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 Rust 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
$ cargo install video-to-skill

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

video-to-skill coordinates its core functionality through a modular Rust 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 video-to-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 video-to-skill using your package manager: `cargo install video-to-skill`

2

Initialize your project workspace or configuration file for video-to-skill.

3

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

4

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

👍 Strengths

Active community backing with 169 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Rust 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 Rust 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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ultraworkers/claw-code ★ 194.8K Rust

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farion1231/cc-switch ★ 151.2K Rust

A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode,DeepSeek Harness and more. Only official website: ccswitch.io

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Lightweight coding agent that runs in your terminal

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

brenoepics/video-to-skill is currently ranked #20,844 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#20,789 symfony/language-tools PHP ★ 170 Compare ↗
#20,789 Cleverfuxaqo1668/Polymarket-Telegram-Bot JavaScript ★ 170 Compare ↗
#20,789 dualface/kander Go ★ 170 Compare ↗
#20,789 JakeATX/llamAmpere C++ ★ 170 Compare ↗
#20,789 mike007jd/voxel-musou JavaScript ★ 170 Compare ↗
#20,844 brenoepics/video-to-skill This Project Rust ★ 169
#20,844 semanticart/is_paranoid Ruby ★ 169 Compare ↗
#20,844 darwin/csv2json Ruby ★ 169 Compare ↗
#20,844 danielsdeleo/deep_merge Ruby ★ 169 Compare ↗
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Frequently Asked Questions

What does video-to-skill do? +

Turn any tutorial video into a verified, installable AI-agent skill. Reads the screen, not the transcript. Runs locally. MIT.

Is video-to-skill actively maintained in 2026? +

Yes, video-to-skill is actively maintained. The latest code push was recorded on Nov 4, 2026 (9 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 169 stars and 8 open issues.

What language is video-to-skill written in? +

The primary language is Rust. Topics include: agent-skills, ai-agents, ai-skill, ai-skills, claude-code.

How many stars does video-to-skill have? +

video-to-skill has 169 stars and 15 forks on GitHub.

How does video-to-skill rank among GitHub repositories? +

With 169 stars, brenoepics/video-to-skill is ranked #20,844 globally across all repositories tracked on GitHubRepo and #1,967 among Rust projects.

What license is video-to-skill distributed under? +

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

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