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flaviocopes/skillscout

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
★43STARS
⑂3FORKS
!0ISSUES
🏆#11,693GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#577

MOST-STARRED Swift

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

skillscout gained 10 stars in the last 30 days, about 1 a day, and now has 43. It is about 1 year old and has averaged roughly 43 stars a year. It ranks #577 among Swift repositories and #11,693 across all languages on GitHubRepo.

Trending Record

skillscout has maintained a continuous presence across global trending indexes, peaking at #10293. 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 →
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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/skillscout is currently ranked #11,693 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#11,656 lethain/lifeflow Python ★ 44 Compare ↗
#11,656 GUI/after_commit Ruby ★ 44 Compare ↗
#11,656 mmower/simply_versioned Ruby ★ 44 Compare ↗
#11,656 Abhi-Flex1/OpenTwit TypeScript ★ 44 Compare ↗
#11,656 ysicing/XStats Swift ★ 44 Compare ↗
#11,693 flaviocopes/skillscout This Project Swift ★ 43
#11,693 artemnovichkov/iPhone-Duo-by-Examples Swift ★ 43 Compare ↗
#11,693 drbermejor/mgs4Ultra120 C++ ★ 43 Compare ↗
#11,693 drnic/jsunittest JavaScript ★ 43 Compare ↗
#11,693 dfischer/fischyfriends Ruby ★ 43 Compare ↗
#11,693 stueccles/railsdav Ruby ★ 43 Compare ↗

Frequently Asked Questions

What does skillscout do? +

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

What language is skillscout written in? +

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

Is skillscout actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 0 open issues being tracked.

How many stars does skillscout have? +

skillscout has 43 stars and 3 forks on GitHub.

How does skillscout rank among GitHub repositories? +

With 43 stars, flaviocopes/skillscout is ranked #11,693 globally across all repositories tracked on GitHubRepo and #577 among Swift projects.

What license is skillscout distributed under? +

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

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