artemis
aotemiao/artemis
Artemis is a Spring Cloud microservice administration scaffolding repository utilizing a DDD/COLA layered architecture built on JDK 21 and Spring Boot 3.5. It integrates specialized agent orchestration workflows through Artemis Symphony, comprehensive harness engineering scripts, and strict quality gates.
35 1No licenseUpdated 2026-06-21
63
GoodOverview
The Artemis repository functions as an enterprise-grade microservice template and agent-driven development scaffolding project. It cleanly separates concerns using Domain-Driven Design (DDD) and COLA layering principles across system, resource, and workflow modules. The framework incorporates advanced coding agent orchestration via Artemis Symphony, automated governance checks, pre-commit hooks, and a structured set of scripts for local development, Docker environments, and validation.
Capabilities
- ▸Spring Cloud microservice architecture setup with JDK 21 and Spring Boot 3.5
- ▸DDD/COLA architectural layering (adapter, app, domain, infra, start)
- ▸Agent orchestration via Artemis Symphony with Linear workflow tracking
- ▸Comprehensive shell script tooling for development, containerization, smoke tests, and governance checks
- ▸Pre-commit hooks enforcing formatting, Checkstyle, and OpenSpec synchronization
Best for
Scaffolding and building new Spring Cloud microservice applications following clean DDD/COLA design patterns, Orchestrating coding agents and tracking automated development tasks using Artemis Symphony and Linear integrations, Running automated harness verification, quality gates, and code checks on Java-based microservices
Works with
Claude CodeCodexChatGPTCursorGitHub CopilotOpenCode
Evoa Score breakdown= Σ (score × weight)
63Task usefulness20%88 → +17.6
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%48 → +5.8
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%50 → +7.5
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%39 → +3.1
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 total73.7 / 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
The project uses Sa-Token for authentication, Redisson for distributed locks, and includes a security review checklist and threat model guide. Ensure proper credential management for Nacos, databases, and external API keys like Linear.
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.