跳到正文
cccskills
免费在 GitHub 公开

architecture-review

Architecture review and design validation. Evaluates system designs against best practices, identifies anti-patterns, and ensures architectural decisions align with non-functional requirements.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(10)

  • SKILL.md8.2 KB
  • commands/architecture-review.md119 B
  • hooks/post-execute.cjs316 B
  • hooks/pre-execute.cjs433 B
  • references/research-requirements.md482 B
  • rules/architecture-review.md518 B
  • schemas/input.schema.json667 B
  • schemas/output.schema.json263 B
  • scripts/main.cjs1.2 KB
  • templates/implementation-template.md193 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Architecture Review Skill

<identity> Architecture Review Skill - Evaluates system designs against best practices, identifies anti-patterns, and ensures architectural decisions align with non-functional requirements (scalability, maintainability, security, performance). </identity> <capabilities> - Reviewing system architecture designs - Identifying anti-patterns and architectural smells - Validating against SOLID, DRY, YAGNI principles - Assessing non-functional requirements - Recommending architectural improvements </capabilities> <instructions> <execution_process>

Step 1: Gather Architecture Context

Understand the current architecture by:

  1. Read project structure: Use Glob to map directory structure
  2. Identify key components: Find entry points, services, data layers
  3. Review dependencies: Check package.json, imports, module graph
  4. Understand data flow: Trace requests through the system

Step 2: Evaluate Design Principles

Check adherence to fundamental principles:

SOLID Principles:

  • Single Responsibility: Does each class/module have one reason to change?
  • Open/Closed: Can behavior be extended without modification?
  • Liskov Substitution: Are subtypes substitutable for base types?
  • Interface Segregation: Are interfaces focused and minimal?
  • Dependency Inversion: Do high-level modules depend on abstractions?

Other Principles:

  • DRY: Is logic duplicated unnecessarily?
  • YAGNI: Are there unused or speculative features?
  • Separation of Concerns: Are responsibilities properly divided?

Step 3: Check for Anti-Patterns

Identify common anti-patterns:

  • God Class/Module: Classes doing too much
  • Spaghetti Code: Tangled, hard-to-follow logic
  • Circular Dependencies: Modules that reference each other
  • Feature Envy: Classes that use other classes' data excessively
  • Shotgun Surgery: Changes that require touching many files
  • Leaky Abstractions: Implementation details exposed to consumers

Step 4: Assess Non-Functional Requirements

Evaluate against NFRs:

  • Scalability: Can the system handle increased load?
  • Maintainability: How easy is it to modify and extend?
  • Testability: Can components be tested in isolation?
  • Security: Are there potential vulnerabilities?
  • Performance: Are there obvious bottlenecks?
  • Observability: Can the system be monitored effectively?

Step 5: Generate Review Report

Create a structured report with:

  1. Summary: Overall assessment and key findings
  2. Strengths: What the architecture does well
  3. Concerns: Issues requiring attention (prioritized)
  4. Recommendations: Specific improvements with rationale
  5. Trade-offs: Acknowledge valid design trade-offs

</execution_process>

<best_practices>

  1. Be Constructive: Focus on improvements, not criticism
  2. Prioritize Issues: Not all problems are equally important
  3. Consider Context: Understand constraints and trade-offs
  4. Suggest Alternatives: Don't just identify problems
  5. Reference Patterns: Cite established patterns when relevant

</best_practices> </instructions>

<examples> <usage_example> **Example Review Request**:
Review the architecture of src/services/ for scalability and maintainability

Example Response Structure:

## Architecture Review: src/services/

### Summary

The service layer follows a reasonable structure but has some coupling issues...

### Strengths

- Clear separation between API handlers and business logic
- Good use of dependency injection

### Concerns

1. **High Priority**: UserService has 15 methods (God Class)
2. **Medium Priority**: Circular dependency between OrderService and InventoryService
3. **Low Priority**: Some magic numbers in validation logic

### Recommendations

1. Split UserService into UserAuthService and UserProfileService
2. Introduce EventBus to decouple Order and Inventory
3. Extract validation constants to configuration

</usage_example> </examples>

Iron Laws

  1. ALWAYS review architecture before COMPLEX or EPIC implementation starts — architectural problems discovered after implementation cost 10-100x more to fix; review in the design phase.
  2. NEVER approve an architecture with undocumented single points of failure — every SPOF must be explicitly identified and have a documented mitigation plan.
  3. ALWAYS evaluate against non-functional requirements — performance, security, scalability, maintainability, and observability are non-optional; functional correctness without NFR compliance is incomplete.
  4. NEVER treat architectural trade-offs as implicit — every trade-off must be explicitly documented with rationale; hidden trade-offs become future surprises and unowned technical debt.
  5. ALWAYS check for circular dependencies before approving a design — circular module dependencies make testing, refactoring, and deployment order unpredictable and progressively harder to resolve.

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
No NFR evaluationDesign may pass functional tests but fail at scale or under attackAlways evaluate performance, security, scalability, observability
Reviewing only the happy pathSystems fail at error boundaries, not in the happy pathReview failure modes, retry behavior, and circuit breakers
Approving without trade-off documentationHidden trade-offs become future surprisesExplicitly document all trade-offs with rationale
Single point of failure left undocumentedSystem has silent fragility that surfaces under loadMap all SPOFs; require mitigation plans for each
Checking SOLID without anti-pattern catalogPrinciple adherence doesn't guarantee absence of anti-patternsCheck both principles AND concrete anti-patterns (God Class, Shotgun Surgery, etc.)
Architecture review after implementation startsToo late to fix structural issues without major reworkReview in design phase, before any code is written

Rules

  • Always provide constructive feedback with actionable recommendations
  • Prioritize issues by impact and effort to fix
  • Consider existing constraints and trade-offs

Related Workflow

This skill has a corresponding workflow for complex multi-agent scenarios:

  • Workflow: .claude/workflows/architecture-review-skill-workflow.md
  • When to use workflow: For comprehensive audits or multi-phase analysis requiring coordination between multiple agents (developer, architect, security-architect, code-reviewer)
  • When to use skill directly: For quick reviews or single-agent execution

Memory Protocol (MANDATORY)

Before starting:

cat .claude/context/memory/learnings.md

After completing:

  • New pattern -> .claude/context/memory/learnings.md
  • Issue found -> .claude/context/memory/issues.md
  • Decision made -> .claude/context/memory/decisions.md

ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.

中文简介正在准备中。当前显示原文说明。

oimiragieo/agent-studio432026年7月14日 更新

Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.

中文简介正在准备中。当前显示原文说明。

oimiragieo/agent-studio432026年7月14日 更新

N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.

中文简介正在准备中。当前显示原文说明。

oimiragieo/agent-studio432026年7月14日 更新

Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze

中文简介正在准备中。当前显示原文说明。

oimiragieo/agent-studio432026年7月14日 更新

Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.

中文简介正在准备中。当前显示原文说明。

oimiragieo/agent-studio432026年7月14日 更新

LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations

中文简介正在准备中。当前显示原文说明。

oimiragieo/agent-studio432026年7月14日 更新

查看 oimiragieo 的全部技能

报告此技能的问题