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khangledoanminhkhangledoanminh/agentskillslab/skills/codebase-architect/SKILL.md

codebase-architect

Skill1 starsChanged 3 months agoMITView on GitHub

Analyze a repository's architecture and produce an evidence-based architecture report: module map, dependency graph, coupling metrics, circular dependencies, and hotspot identification, with Mermaid diagrams generated from real import relationships. Use when onboarding to a new codebase, planning major changes, or documenting system structure.

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SKILL.md

Codebase Architect

Phân tích kiến trúc repo bằng dữ liệu THẬT từ import/dependency relationships, không bằng cảm nhận. Đầu ra: báo cáo kiến trúc + diagram Mermaid tự sinh.

Quy trình (5 bước)

  1. Map modules: liệt kê packages/modules, kích thước (dòng code), trách nhiệm suy ra từ tên + docstring.
  2. Build dependency graph: chạy scripts/graph_deps.py <repo> phân tích import statements → adjacency list thật.
  3. Tính metrics:
    • Coupling: số dependency in/out mỗi module (Ca/Ce).
    • Circular dependencies: DFS tìm cycle trong import graph.
    • Hotspots: module có fan-in cao (nhiều nơi phụ thuộc) + thay đổi gần đây (git log).
  4. Vẽ diagram: sinh Mermaid flowchart từ graph thật; KHÔNG vẽ tay diagram không khớp code.
  5. Báo cáo: module map + metrics table + cycle list + hotspot ranking + khuyến nghị tách module nếu coupling quá cao.

Nguyên tắc

  • Mọi con số từ script; diagram phải khớp graph thật (test: parse lại diagram phải bằng graph).
  • Không phán kiến trúc "tốt/xấu" chung chung — chỉ ra metric cụ thể và ngưỡng.
  • Report ngắn gọn: table + diagram + 5 khuyến nghị tối đa.

Scripts

  • scripts/graph_deps.py <repo> [--language python|js|ts] [--output graph.json]
  • scripts/metrics.py graph.json — tính Ca/Ce, cycles, hotspots → JSON.

References

  • METRICS-DEFINITIONS.md
  • DIAGRAM-RULES.md

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