prompt-engineering-research
CommunityOptimize AI image prompts.
Design & Creative#prompt engineering#image generation#prompt optimization#AI research#LLM as judge#template improvement
AuthorNikGor
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses challenges in generating high-quality AI images by researching and applying best practices for prompt engineering and improving LLM-as-judge scoring.
Core Features & Use Cases
- Prompt Structure Research: Investigates optimal prompt elements for image generation models like DALL-E 3 and Grok Aurora.
- LLM-as-Judge Calibration: Explores patterns to ensure accurate and well-calibrated scoring from AI judges.
- Iterative Revision Strategies: Develops methods for refining prompts based on feedback and evaluation.
- Use Case: When image generation results are consistently poor or judge scores are too narrow, this Skill provides the research needed to improve prompt templates and evaluation logic.
Quick Start
Use the prompt-engineering-research skill to research DALL-E 3 prompt engineering best practices.
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-engineering-research Download link: https://github.com/NikGor/image-prompt-optimizer/archive/main.zip#prompt-engineering-research Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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