claudecode-architecture-guide-skill
chenluda/claudecode-architecture-guide-skill
Extracts and applies engineering and architectural patterns from Claude Code to new or existing systems.
3 3No licenseUpdated 2026-03-31
66
GoodOverview
This skill provides a comprehensive architectural framework distilled from Claude Code's large TypeScript codebase. It includes 12 core design principles, 18 transferable design patterns, a 5-phase from-zero building blueprint, and detailed review checklists to guide system design, permission modeling, concurrency management, and agent workflow implementation.
Capabilities
- ▸Applies architectural principles such as separation of concerns, read-write concurrency partitioning, and minimal state management
- ▸Provides a 5-phase execution blueprint for greenfield projects
- ▸Offers 18 reusable design patterns with problem/solution breakdowns
- ▸Generates structured architectural migration plans and decision logs
- ▸Includes extensive review checklists covering core architecture, security, performance, and extensibility
Best for
Designing system architecture from scratch using established agentic patterns, Retrofitting existing codebases with structured state machines, permission models, and streaming pipelines, Conducting architectural reviews and security assessments, Planning phased migrations and gradual system rollouts
Works with
Claude CodeCursorGitHub CopilotChatGPT
Evoa Score breakdown= Σ (score × weight)
66Task 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%70 → +10.5
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%42 → +5.0
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%100 → +15.0
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%25 → +2.0
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 total77.1 / 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
Emphasizes multi-layer permission models, strict trust boundaries, and SSRF protections for plugin and execution environments.
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.