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Think-Reflect-LoT-ContextR Structured
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Snack Prompt5 Eki 2026
0 Görüntüleme
Metin

Think-Reflect-LoT-ContextR Structured

This Structured Prompt template implements advanced Features such as <thinking>, <reflection>, <context_reinforcement>, <layer-of-thoughts> for highly customizable prompting.

فارسیEnglishالعربيةTürkçeEspañol
ModelMetin
KategoriAI
Metin diliEnglish
LisansSource terms apply

İstem önizlemesi

<prompt> <task>[Describe the primary task or request]</task> <details> [Include any specific requirements, formatting needs, or additional instructions relevant to completing the task] </details> <thinking> [Consider various aspects or factors that should be taken into account to produce a well-rounded response. Think about different fields, perspectives, or practical applications that could inform the task.] <context_reinforcement> [Continuously revisit the purpose of the task, asking, "Does each part of the response align with the main objective?" Emphasize relevance and applicability to the user’s broader goals.] </context_reinforcement> </thinking> <thoughts_prompting_strategy> [Break down the request into essential components: purpose, context, intended outcome, and rationale. Encourage generating questions or considerations that will guide a thoughtful approach to each part of the task. How can the response demonstrate unique insights or benefits of the structured prompt approach?] <context_reinforcement> [As each component is analyzed, ask, "How does this support the overall objective?" Ensure the response remains focused on practical, user-oriented outcomes.] </context_reinforcement> </thoughts_prompting_strategy> <reflection> [Reflect on the broader implications of the task, considering how the response could impact productivity, creativity, or problem-solving. What might the user gain by applying these insights in real-world scenarios?] <context_reinforcement> [Encourage reflection on the context in which the user will apply the insights. Consider, "How can this reflection tie back to the user’s main goals and enhance real-world applicability?"] </context_reinforcement> </reflection></prompt>

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