# 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

- Skill: `antgroup/ai-prompt-optimizer-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add antgroup/ai-prompt-optimizer-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/antgroup/ai-prompt-optimizer-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: antgroup (https://skillmd.com/u/antgroup)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/antgroup/ai-prompt-optimizer-2

---


# 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:**

```python
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:**
```python
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:

```python
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:

```python
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

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

```python
# 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!*