Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Validate planned changes against local framework rules and policy guardrails before implementation or creation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Evaluate a design/plan against framework policy and rule constraints before execution. Use this for regulated or high-risk changes.
.claude/rules/Assess against:
Return one policy decision:
PASS: policy-alignedCONDITIONAL: allowed with required mitigationsFAIL: not policy-compliantUse this output shape:
{
"decision": "PASS|CONDITIONAL|FAIL",
"policyFindings": ["..."],
"requiredMitigations": [],
"evidencePaths": ["..."],
"recommendedNextStep": "..."
}
For CONDITIONAL and FAIL, include precise remediation tasks and ownership (agent type).
| Anti-Pattern | Why It Fails | Correct Approach |
|---|---|---|
| Implementing code during compliance check | Conflates assessment with implementation | Assess only; implementation happens separately after PASS |
| Skipping compliance for "small" changes | Small changes introduce policy violations silently | Run compliance check proportionally for all HIGH/EPIC work |
| Reporting PASS on partial compliance | Masks unresolved violations; gives false confidence | Report CONDITIONAL with specific remediation required |
| Vague violation reports without remediation | Violations aren't fixed without clear next steps | Include agent, task, and target file for every FAIL/CONDITIONAL |
| Only checking once before implementation | Post-change compliance drift goes undetected | Recheck compliance after major implementation changes |
Record recurring policy drift patterns in .claude/context/memory/issues.md and stabilized controls in .claude/context/memory/decisions.md.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.