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ai-prompt-optimizer

ai-prompt-optimizer

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

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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

# This will:
# 1. Analyze your prompt structure
# 2. Apply optimization enhancements
# 3. Add context layering
# 4. Return optimized 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

# Optimize a creative prompt
optimized = optimize_prompt("Write a story about AI", mode="creative")

# Returns optimized prompt with enhancement layer

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

ModeDescriptionBest For
creativeCreative enhancementStorytelling, art, creative writing
analyticalAnalytical enhancementData analysis, research, reasoning
technicalTechnical enhancementCode, documentation, technical tasks

How It Works

  1. Prompt Analysis: Analyzes prompt structure and content
  2. Mode Selection: Applies appropriate optimization mode
  3. Enhancement Layering: Adds context and structure
  4. 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

# Import the optimization function
from scripts.prompt_optimizer import optimize_prompt

# Optimize your prompt - this single function does everything
result = optimize_prompt("Write a story about robots", mode="creative")

# Check results
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!

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