improve-prompt-cev

Refine prompts to steer AI behavior toward coherent extrapolated volition.

Updated Sep 1, 2025
One-click install
npx skills add https://github.com/mathur-exe/annotation-notes --skill improve-prompt-cev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-prompt-cev
Source: https://github.com/mathur-exe/annotation-notes/tree/main/PaperNotes/dotfiles/codex/skills/improve-prompt-cev
Command: npx skills add https://github.com/mathur-exe/annotation-notes --skill improve-prompt-cev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reframing prompts to better align AI behavior with long-term user interests by pursuing a coherent extrapolated volition approach.

Core Features & Use Cases

  • Align prompts with desired outcomes through principled prompt refinement.
  • Provide safety-conscious prompt adjustments that preserve intent while reducing risk.
  • Use Case: A developer upgrades a chat prompt to better capture user goals without compromising safety.

Quick Start

Provide a revised prompt that nudges the AI toward coherent extrapolated volition while preserving safety constraints.

Frequently Asked Questions about improve-prompt-cev

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is coherent extrapolated volition in prompt design?

Coherent extrapolated volition in prompt design reframes prompts to align AI behavior with long-term user interests. It applies principled prompt refinement to steer creative writing, safety-conscious assistants, and alignment research scenarios toward desired outcomes.

How do I refine a chat prompt to better capture user goals without compromising safety?

To refine a chat prompt for safety and user goals, provide a revised prompt that nudges the AI toward coherent extrapolated volition while preserving strict safety constraints. This ensures intent is captured without introducing risk.

Can I use prompt tuning for alignment research scenarios?

Yes, you can use prompt tuning for alignment research scenarios. This approach refines prompt design to steer AI behavior toward coherent extrapolated volition, applying standard prompt-engineering workflows with strict safety constraints.

What is the best way to align AI behavior with long-term user interests through prompts?

The best way to align AI behavior with long-term user interests is by pursuing a coherent extrapolated volition approach. This method applies safety-conscious prompt adjustments that preserve intent while reducing risk during prompt refinement.

Does prompt refinement for coherent extrapolated volition work with creative writing tasks?

Yes, prompt refinement for coherent extrapolated volition works with creative writing tasks. It applies standard prompt-engineering workflows to steer AI behavior, ensuring safety-conscious adjustments preserve the original creative intent.