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migsilva89
Home / Swift / loadout

migsilva89/loadout

See and manage what your coding assistants load — skills, commands, subagents, plugins and MCP servers, with real usage.

Swift ◇ agent-skills MIT
★103STARS
⑂6FORKS
!0ISSUES
🏆#26,225GLOBAL RANK
🔥20DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

loadout is loadout is an open-source project written in Swift: See and manage what your coding assistants load — skills, commands, subagents, plugins and MCP servers, with real usage..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), migsilva89/loadout has accumulated 103 GitHub stars and 6 forks. It is written in Swift, licensed under MIT, and ranks #26,225 globally. It is actively maintained with the latest commit recorded on Nov 2, 2026.”
Repository migsilva89/loadout ↗
Primary Category agent skills
Language & Stack Swift
Software License MIT
Community Traction ★ 103 stars · ⑂ 6 forks · #26,225 globally
Maintenance ● Active (Last commit: Nov 2, 2026) · 0 open issues
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: 93/100 · Grade A+
✅
Is loadout actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, loadout is actively maintained. Continuous telemetry recorded the last code commit on Nov 2, 2026 (11 days ago). Supported by 103 stars and 6 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 2, 2026
11 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
6 Forks
103 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for migsilva89/loadout
CSV
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,104

MOST-STARRED Swift

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

loadout gained 10 stars in the last 30 days, about 1 a day, and now has 103. It is about 1 year old and has averaged roughly 103 stars a year. It ranks #1,104 among Swift repositories and #26,225 across all languages on GitHubRepo.

Trending Record

loadout has maintained a continuous presence across global trending indexes, peaking at #17186. Below is the 30-day activity profile:

💡 Overview

loadout is an open-source project written in Swift: See and manage what your coding assistants load — skills, commands, subagents, plugins and MCP servers, with real usage.

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/migsilva89/loadout.git
cd loadout

⚙ 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

loadout 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 loadout.

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 loadout using your package manager: `git clone https://github.com/migsilva89/loadout.git`

2

Initialize your project workspace or configuration file for loadout.

3

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

4

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

👍 Strengths

Active community backing with 103 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

A
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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

migsilva89/loadout is currently ranked #26,225 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#26,114 OpenImagingLab/FlashVSR_Plus Python ★ 104 Compare ↗
#26,114 qkaiser/broadcom-wps Python ★ 104 Compare ↗
#26,114 tomtomsatnav/agent-orchestration-standard JavaScript ★ 104 Compare ↗
#26,114 Mike-Acb/snapdock Swift ★ 104 Compare ↗
#26,114 HuangShengZeBlueSky/dsh-harness-evolution JavaScript ★ 104 Compare ↗
#26,225 migsilva89/loadout This Project Swift ★ 103
#26,225 caged/lighthouse-api Ruby ★ 103 Compare ↗
#26,225 purcell/darcs-to-git Ruby ★ 103 Compare ↗
#26,225 yfactorial/utility_scopes Ruby ★ 103 Compare ↗
#26,225 aquasync/ruby-msg Ruby ★ 103 Compare ↗
#26,225 apache/maven-scm Java ★ 103 Compare ↗
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Frequently Asked Questions

What does loadout do? +

See and manage what your coding assistants load — skills, commands, subagents, plugins and MCP servers, with real usage.

Is loadout actively maintained in 2026? +

Yes, loadout is actively maintained. The latest code push was recorded on Nov 2, 2026 (11 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 103 stars and 0 open issues.

What language is loadout written in? +

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

How many stars does loadout have? +

loadout has 103 stars and 6 forks on GitHub.

How does loadout rank among GitHub repositories? +

With 103 stars, migsilva89/loadout is ranked #26,225 globally across all repositories tracked on GitHubRepo and #1,104 among Swift projects.

What license is loadout distributed under? +

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

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