What are the optimization levels available?

The skill offers three levels: Quick Polish for minor refinements, Balanced Enhancement for structural improvements, and Deep Transformation for complete redesigns from first principles.

What prompt types can this skill optimize?

It optimizes all prompt types, including system prompts for agents, task-specific instructions, creative briefs, technical specifications, and agentic prompts for coding tools.

How does it improve token efficiency?

It applies ruthless simplification and progressive disclosure, removing redundant language and verbosity while ensuring every word contributes to the clarity of the instruction.

Can it help with optimizing for Claude 4.x models?

Yes, it is specifically designed to leverage the advanced reasoning capabilities of the latest Claude models, ensuring prompts are structured to trigger optimal model behavior.

AI Prompt Optimizer

Name: AI Prompt Optimizer
Author: nopkhun

bynopkhun

0•

Developer Tools

Transforms basic AI prompts into high-performance instructions using advanced optimization frameworks and iterative refinement.

The Prompt Optimizer skill is a specialized tool for Claude Code designed to elevate the quality of AI interactions through deep analysis and strategic restructuring. By applying the 'ultrathink' philosophy—questioning assumptions, obsessing over detail, and simplifying ruthlessly—it analyzes existing prompts to improve clarity, specificity, and token efficiency. Whether you are building autonomous agents, complex technical workflows, or creative content systems, this skill provides a structured methodology to craft prompts that are structurally sound and highly effective, ensuring more predictable and superior AI outputs.

Key Features

01Advanced optimization for system, technical, and agentic prompts using 'ultrathink' principles.

02Adaptive optimization levels ranging from quick polish to fundamental deep transformation.

03Strategic framework for defining clear personas, behavioral guardrails, and success criteria.

04Token efficiency auditing to remove redundancy without losing instructional power.

05Structural refinement including progressive disclosure and layered specificity for better parsing.

060 GitHub stars

Use Cases

01Refining complex system prompts for custom AI agents to ensure consistent behavior and persona adherence.

02Optimizing technical task instructions to improve code generation accuracy and edge case handling.

03Iteratively improving existing prompts to reduce token usage while maintaining high-quality outputs.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nopkhun/ko-stock-system prompt-optimizer

For use in Claude.ai and ChatGPT

Key Features

01Advanced optimization for system, technical, and agentic prompts using 'ultrathink' principles.

02Adaptive optimization levels ranging from quick polish to fundamental deep transformation.

03Strategic framework for defining clear personas, behavioral guardrails, and success criteria.

04Token efficiency auditing to remove redundancy without losing instructional power.

05Structural refinement including progressive disclosure and layered specificity for better parsing.

060 GitHub stars

Use Cases

01Refining complex system prompts for custom AI agents to ensure consistent behavior and persona adherence.

02Optimizing technical task instructions to improve code generation accuracy and edge case handling.

03Iteratively improving existing prompts to reduce token usage while maintaining high-quality outputs.