By CrazyMeal
Deep codebase analysis using coupling metrics, pattern recognition, and technical debt assessment. Identifies bounded contexts, anti-patterns, and evolution opportunities with evidence-based findings.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub crazymeal/claude-architect-marketplace --plugin architecture-analysisRigorous architecture evaluation using ATAM-inspired quality attribute analysis. Identifies trade-offs, sensitivity points, and risks. Provides prioritized recommendations with fitness function suggestions.
Collaborative system design with deep architectural knowledge. Covers DDD (bounded contexts, aggregates), distributed systems patterns (saga, outbox, CQRS), 12-factor apps, quality attribute trade-offs, and evolutionary architecture.
C4 model diagrams with proper abstraction levels (Context, Container, Component, Code), plus deployment and dynamic diagrams. Supports PlantUML, Mermaid, D2, and Structurizr DSL.
Industry-standard documentation: ADRs (MADR format with decision drivers), technical specifications (quality attributes, operational concerns), and RFCs. Follows documentation-as-architecture principles.
Architecture Deep Research — scan a repo, draft a PRD, run live deep research, get a cited handoff. Use when picking a topology, retrieval architecture, event bus, storage engine, auth pattern, or any system-design decision before code lands.
Project Analyzer plugins for comprehensive architectural analysis, component deep analysis, and dependency auditing
Design and analyze modular software systems using the Balanced Coupling model by Vlad Khononov. Includes a modularity review skill for analyzing existing codebases and a modular design skill for designing new systems from requirements.
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
Codebase exploration, refactoring, and quality analysis
Analyzes a codebase and generates animated HTML architecture reports — diagrams, data flows, component directories, metrics, and insights.