Prompt Repetition Optimization
CommunityBoost non-reasoning task performance with repetition.
Education & Research#research#LLM-optimization#prompt-repetition#non-reasoning#options-first#list-navigation
Authordanielraffel
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Prompt repetition improves LLM performance on non-reasoning tasks by enabling each prompt token to attend to every other token, reducing context-attention limitations.
Core Features & Use Cases
- Best for non-reasoning tasks such as multiple-choice questions with options-first formatting, list navigation, and simple fact retrieval.
- Variants supported: simple repetition, verbose repetition, and triple repetition for flexible accuracy gains.
- Compatibility: drop-in with existing prompting flows and no need to modify model or tooling.
Quick Start
Use a non-reasoning prompt and apply prompt repetition by sending the prompt twice (the base prompt followed by the same prompt) to the model.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Prompt Repetition Optimization Download link: https://github.com/danielraffel/generous-corp-marketplace/archive/main.zip#prompt-repetition-optimization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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