incentive-prompting

SKILL.md

Using proper prompting techniques is critical to achieving optimal AI output quality. Research shows these techniques can improve response quality by 45-115%. The difference between a mediocre AI response and an excellent one often comes down to prompt engineering. Whether you're optimizing agents, enhancing commands, or working on complex problems, applying these techniques consistently yields significantly bette...

Research-backed techniques that leverage statistical pattern-matching to elicit higher-quality AI responses. Based on peer-reviewed research from MBZUAI (Bsharat et al.), Google DeepMind (Yang et al.), and ICLR 2024 (Li et al.).

LLMs don't understand incentives, but they pattern-match on language associated with high-effort training examples. Stakes language triggers selection from distributions of higher-quality text patterns.

향상된 AI 응답 품질을 위한 연구 지원 프롬프트 기술(+45-115% 개선) 프롬프트를 최적화하거나, 상담원 지침을 강화하거나, 최대 응답 품질이 중요한 경우에 사용하세요. /ai-eng/optimize 명령으로 호출됩니다. 전문가 페르소나, 스테이크 언어, 단계별 추론, 도전 과제 구성 및 자체 평가 기술이 포함됩니다. 출처: v1truv1us/ai-eng-system.

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