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ENJA

konvoy

arncore/konvoy

Konvoy is a native-first Kotlin build tool implemented in Rust, designed to provide a fast, Cargo-like workflow for Kotlin/Native development without Gradle or Maven complexity.

24 1Apache-2.0Updated 2026-06-18

Overview

Konvoy offers a streamlined, deterministic, and declarative build experience for Kotlin/Native projects. Driven by a simple TOML manifest and lockfile, it manages its own compiler toolchains and dependencies while utilizing a content-addressed cache for fast, predictable compilation and builds.

Capabilities

  • Declarative configuration with konvoy.toml and konvoy.lock
  • Automatic management and downloading of Kotlin/Native toolchains and JREs
  • Content-addressed caching for fast incremental builds
  • Support for path-based and Maven-based dependencies with SHA-256 pinning
  • Cross-platform support for Linux and macOS host targets
  • Built-in linting with detekt and diagnostics normalization

Best for

Compiling and packaging native Kotlin applications and libraries, Managing dependencies and transitive requirements via Maven coordinates, Running automated tests and code linting for native Kotlin projects, Providing a fast, lightweight alternative to Gradle for Kotlin/Native

Works with

Claude CodeCodexChatGPTCursorGitHub CopilotOpenCode
Evoa Score breakdown= Σ (score × weight)
79
Task usefulness20%100 → +20.0

実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 AIによるcapabilities/use-cases解析

Code quality15%90 → +13.5

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%85 → +12.8

リポジトリがどれだけ活発に保守されているか。 GitHub 最終push日時の新しさ

Documentation12%33 → +4.0

ドキュメントの充実度・分かりやすさ。 README/独自要約の情報量

Security15%80 → +12.0

危険・不審な挙動が無いか。 AIによるセキュリティレビュー

Originality10%85 → +8.5

ありふれたラッパーではない独自性。 AIによる独自性判定

Popularity8%36 → +2.9

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%100 → +5.0

対応AIエージェントの広さ。 AIによる対応エージェント判定

Weighted total78.6 / 100

ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →

Security considerations

Konvoy automatically downloads external toolchains and Maven dependencies over the network, using SHA-256 lockfile pinning to ensure integrity.

Categories

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.