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.