A prompt repetition technique for improving LLM accuracy. Achieves significant performance gains in 67% (47/70) of 70 benchmarks. Automatically applied on lightweight models (haiku, flash, mini).
Quickly install prompt-repetition AI skill to your development environment via command line
Source: akillness/skills-template.
LLMs are trained as Causal Language Models, where each token attends only to previous tokens. This leads to:
Prompt repetition enables the second pass to reference the entire first pass, effectively mimicking some benefits of bidirectional attention.
In the second repetition, the model reprocesses information across the entire first prompt and strengthens attention weights on key concepts, resulting in improved performance.
A prompt repetition technique for improving LLM accuracy. Achieves significant performance gains in 67% (47/70) of 70 benchmarks. Automatically applied on lightweight models (haiku, flash, mini). Source: akillness/skills-template.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/akillness/skills-template --skill prompt-repetitionA prompt repetition technique for improving LLM accuracy. Achieves significant performance gains in 67% (47/70) of 70 benchmarks. Automatically applied on lightweight models (haiku, flash, mini). Source: akillness/skills-template.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/akillness/skills-template --skill prompt-repetition Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/akillness/skills-template