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flaviocopes/skill-cabinet

Find the skills your coding agents load, see which agents can use each one, and count how often you use them

Swift ◇ agent-skills MIT
★74STARS
⑂4FORKS
!1ISSUES
🏆#27,747GLOBAL RANK
🔥38DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

skill-cabinet is skillscout is an open-source project written in Swift: Find the skills your coding agents load, see which agents can use each one, and count how often you use them.. 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), flaviocopes/skill-cabinet has accumulated 74 GitHub stars and 4 forks. It is written in Swift, licensed under MIT, and ranks #27,747 globally. It is actively maintained with the latest commit recorded on Oct 8, 2026.”
Repository flaviocopes/skill-cabinet ↗
Primary Category agent skills
Language & Stack Swift
Software License MIT
Community Traction ★ 74 stars · ⑂ 4 forks · #27,747 globally
Maintenance ● Active (Last commit: Oct 8, 2026) · 1 open issues
Replaces SaaS Open Source Cursor Alternative ($20/month per user) →
Target Audience Developers and engineering teams building with Swift, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 85/100 · Grade A
✅
Is skill-cabinet actively maintained in 2026?
Verdict: Actively Maintained

Yes, skill-cabinet is actively maintained. Continuous telemetry recorded the last code commit on Oct 8, 2026 (36 days ago). Supported by 74 stars and 4 community forks, this repository holds a calculated health index of 85/100, reflecting regular maintenance (36 days ago) and healthy issue cadence.

Commit Recency
Oct 8, 2026
36 days since last push
Issue Backlog
1 Open Issues
Healthy Issue Cadence
Community Backing
4 Forks
74 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for flaviocopes/skill-cabinet
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Momentum

+24

STARS · LAST 30 DAYS

1

PER DAY

#1,144

MOST-STARRED Swift

Window7 days30 days90 days
Stars gained+0+24+90
Per day111
Forks gained+0+1+10

skill-cabinet gained 24 stars in the last 30 days, about 1 a day, and now has 74. It is about 1 year old and has averaged roughly 74 stars a year. It ranks #1,144 among Swift repositories and #27,747 across all languages on GitHubRepo.

Trending Record

skill-cabinet has maintained a continuous presence across global trending indexes, peaking at #1328. Below is the 30-day activity profile:

💡 Overview

skillscout is an open-source project written in Swift: Find the skills your coding agents load, see which agents can use each one, and count how often you use them.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, ai-agents, claude-code. 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 Swift 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
$ git clone https://github.com/flaviocopes/skillscout.git
cd skillscout

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Swift 5.9+ / Xcode 15+ (macOS/Linux)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

skillscout coordinates its core functionality through a modular Swift 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 skillscout.

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 skillscout using your package manager: `git clone https://github.com/flaviocopes/skillscout.git`

2

Initialize your project workspace or configuration file for skillscout.

3

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

4

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

👍 Strengths

Active community backing with 43 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Swift 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 Swift 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 →
A
jaywcjlove/awesome-mac ★ 118.1K Swift

 This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.

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swiftlang/swift ★ 70.6K Swift

The Swift Programming Language

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apple/container ★ 51K Swift

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iina/iina ★ 47K Swift

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

flaviocopes/skill-cabinet is currently ranked #27,747 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#27,697 antfu/furifont TypeScript ★ 75 Compare ↗
#27,697 konic-labs/kubic TypeScript ★ 75 Compare ↗
#27,697 hez2010/SatoriInsight C# ★ 75 Compare ↗
#27,697 workaipvlinh-byte/lop-hoc-chu TypeScript ★ 75 Compare ↗
#27,697 seandotnet/ShadBuffer C# ★ 75 Compare ↗
#27,747 flaviocopes/skill-cabinet This Project Swift ★ 74
#27,747 drnic/rubigen Ruby ★ 74 Compare ↗
#27,747 jcoglan/svn2git Ruby ★ 74 Compare ↗
#27,747 ELLIOTTCABLE/ruby.sugar Ruby ★ 74 Compare ↗
#27,747 olleolleolle/wav2c C ★ 74 Compare ↗
#27,747 cldwalker/lightning Ruby ★ 74 Compare ↗
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Frequently Asked Questions

What does skill-cabinet do? +

Find the skills your coding agents load, see which agents can use each one, and count how often you use them

Is skill-cabinet actively maintained in 2026? +

Yes, skill-cabinet is actively maintained. The latest code push was recorded on Oct 8, 2026 (36 days ago). It holds a calculated Maintenance Health Score of 85/100 (A rating) with 74 stars and 1 open issues.

What language is skill-cabinet written in? +

The primary language is Swift. Topics include: agent-skills, ai-agents, claude-code, codex, cursor.

How many stars does skill-cabinet have? +

skill-cabinet has 74 stars and 4 forks on GitHub.

How does skill-cabinet rank among GitHub repositories? +

With 74 stars, flaviocopes/skill-cabinet is ranked #27,747 globally across all repositories tracked on GitHubRepo and #1,144 among Swift projects.

What license is skill-cabinet distributed under? +

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

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