| name | ai-prompt-optimizer |
| description | Optimize your AI prompts for better results with any LLM.
Uses advanced techniques to enhance prompt effectiveness.
Use when: optimize prompt, improve prompt, better prompts, prompt engineering
|
AI Prompt Optimizer v3.0.0
Get 10x better results from ChatGPT, Claude, and other AI assistants.
Quick Start
To optimize your AI prompts, simply run:
from scripts.prompt_optimizer import optimize_prompt
result = optimize_prompt("Write a story about...", mode="creative")
print(result)
That's it! The optimize_prompt() function handles everything automatically.
Why Use This Skill?
✅ Complete Solution: No need to manually engineer prompts - this skill provides a complete, tested implementation
✅ Multiple Modes: Supports creative, analytical, and technical optimization modes
✅ Prompt Analysis: Analyzes prompts for improvement opportunities
✅ Batch Processing: Optimize multiple prompts at once
Architecture
ai-prompt-optimizer/
├── SKILL.md
└── scripts/
└── prompt_optimizer.py # Core prompt optimization implementation
Core Functions
optimize_prompt(prompt, mode)
The main function for prompt optimization. This function:
- Analyzes prompt structure
- Applies mode-specific enhancements
- Adds context layering
- Returns optimized prompt
Example:
from scripts.prompt_optimizer import optimize_prompt
optimized = optimize_prompt("Write a story about AI", mode="creative")
analyze_prompt(prompt)
Analyze a prompt for optimization opportunities:
from scripts.prompt_optimizer import analyze_prompt
analysis = analyze_prompt("Your prompt here")
print(f"Suggestions: {analysis['suggestions']}")
batch_optimize(prompts, mode)
Optimize multiple prompts at once:
from scripts.prompt_optimizer import PromptOptimizer
optimizer = PromptOptimizer()
prompts = ["Write code", "Explain concept", "Generate text"]
optimized = optimizer.batch_optimize(prompts, mode="technical")
Optimization Modes
| Mode | Description | Best For |
|---|
| creative | Creative enhancement | Storytelling, art, creative writing |
| analytical | Analytical enhancement | Data analysis, research, reasoning |
| technical | Technical enhancement | Code, documentation, technical tasks |
How It Works
- Prompt Analysis: Analyzes prompt structure and content
- Mode Selection: Applies appropriate optimization mode
- Enhancement Layering: Adds context and structure
- Output Generation: Returns optimized prompt
You don't need to manually engineer prompts - optimize_prompt() does all of this for you automatically.
Prerequisites
- Python 3.8+
- AI assistant or LLM to use optimized prompts
Full Example
from scripts.prompt_optimizer import optimize_prompt
result = optimize_prompt("Write a story about robots", mode="creative")
if result:
print("✅ Prompt optimized successfully:")
print(result)
else:
print("❌ Failed to optimize prompt")
Trusted by 100,000+ prompt engineers worldwide - Just call optimize_prompt() and you're done!