agent-usage-optimizer-complexity-tier-model-mapping
정보
이 스킬은 작업 복잡도에 따른 모델 선택 가이드를 제공하며, 일상적인 작업은 Haiku로, 표준 작업은 Sonnet으로, 복잡한 작업은 Opus로 매핑합니다. 단순한 작업은 저렴한 모델로 라우팅하고, 고성능 모델은 까다로운 작업에 할당함으로써 개발자들이 비용을 최적화할 수 있도록 돕습니다. 작업의 성격이 명확할 때 경로 매핑과 함께 사용하면 이론적 효율성과 실제 구현 효율성 간의 격차를 줄일 수 있습니다.
빠른 설치
Claude Code
추천npx skills add vamseeachanta/workspace-hub/plugin add https://github.com/vamseeachanta/workspace-hubgit clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/agent-usage-optimizer-complexity-tier-model-mappingClaude Code에서 이 명령을 복사하여 붙여넣어 스킬을 설치하세요
문서
Complexity Tier → Model Mapping
Complexity Tier → Model Mapping
Use this alongside Route mapping when task nature is clear:
| Complexity tier | Keywords | Recommended model |
|---|---|---|
routine | format, rename, config, scaffold, update-doc, copy | Claude Haiku |
standard | implement, review, test, fix, migrate, document | Claude Sonnet |
complex | architecture, design, cross-repo, security, compound | Claude Opus |
Key insight: the gap between theoretical and observed exposure is an implementation gap —
not a capability gap. Routing routine tasks to cheaper models closes this gap for our workflow.
See WRK-5002 to automate tier detection in task_classifier.sh.
Use this skill before any multi-item work session or when quota is a concern.
Related: ai/optimization/model-selection, ai/optimization/usage-optimization
GitHub 저장소
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