Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Architecture review and design validation. Evaluates system designs against best practices, identifies anti-patterns, and ensures architectural decisions align with non-functional requirements.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Understand the current architecture by:
Check adherence to fundamental principles:
SOLID Principles:
Other Principles:
Identify common anti-patterns:
Evaluate against NFRs:
Create a structured report with:
</execution_process>
<best_practices>
</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>
| Anti-Pattern | Why It Fails | Correct Approach |
|---|---|---|
| No NFR evaluation | Design may pass functional tests but fail at scale or under attack | Always evaluate performance, security, scalability, observability |
| Reviewing only the happy path | Systems fail at error boundaries, not in the happy path | Review failure modes, retry behavior, and circuit breakers |
| Approving without trade-off documentation | Hidden trade-offs become future surprises | Explicitly document all trade-offs with rationale |
| Single point of failure left undocumented | System has silent fragility that surfaces under load | Map all SPOFs; require mitigation plans for each |
| Checking SOLID without anti-pattern catalog | Principle adherence doesn't guarantee absence of anti-patterns | Check both principles AND concrete anti-patterns (God Class, Shotgun Surgery, etc.) |
| Architecture review after implementation starts | Too late to fix structural issues without major rework | Review in design phase, before any code is written |
This skill has a corresponding workflow for complex multi-agent scenarios:
.claude/workflows/architecture-review-skill-workflow.mdBefore starting:
cat .claude/context/memory/learnings.md
After completing:
.claude/context/memory/learnings.md.claude/context/memory/issues.md.claude/context/memory/decisions.mdASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.
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Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
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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.
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Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
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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.
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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
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