How to Optimize Your Prompts for Large Language Models with Prompt-Optimizer

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When using large language models (LLMs) like ChatGPT, Claude, or Gemini, a common issue arises: even with clear ideas, crafting precise prompts can be challenging. The result? Outputs that miss the mark, lack key details, or are entirely off-topic.

As AI applications expand, writing high-quality prompts has become a critical skill for developers, content creators, and everyday users. The open-source Prompt-Optimizer project offers an automated solution to refine prompt clarity and boost model response quality—simple, practical, and worth exploring.

What is Prompt-Optimizer?

Prompt-Optimizer is a tool designed to enhance the quality of prompts for LLMs. Its key features include:

  • Analyzing prompt structure and clarity: Identifies weaknesses in your prompts.
  • Generating optimized prompts: Automatically creates improved versions.
  • Multi-model support: Compatible with models like GPT-4 and Claude.
  • User-friendly design: Easy to install, no complex setup, and supports command-line use.

This tool is ideal for prompt engineering, content creation, or any scenario requiring precise AI interactions.

How Prompt-Optimizer Works

Prompt-Optimizer leverages the semantic understanding of LLMs to rephrase user prompts, making them clearer and more structured. For example:

Original Prompt:
"Write a short, engaging intro about AI for a video."

Optimized Prompt:

# Role: AI Video Intro Specialist
## Profile
- Language: English/Chinese
- Description: Expert in crafting concise, engaging AI-themed video intros
- Background: 3 years of tech-focused scriptwriting
- Personality: Creative, lively, quick-thinking
- Expertise: Tech communication, short-form content, audience engagement
- Target Audience: Video creators, tech enthusiasts, marketers
## Skills
1. Creative Development
   - Theme Extraction: Highlight core AI concepts
   - Suspense Creation: Build viewer anticipation
   - Humor: Use tech-related puns
   - Emotional Resonance: Connect AI to human experiences
2. Language Craft
   - Concise Sentences: Deliver within 15 seconds
   - Rhythm Control: Include speech pauses
   - Visual Imagery: Create vivid, screen-friendly text
   - Multi-Version Output: Provide 3 distinct styles
## Rules
1. Content Guidelines:
   - Include core AI elements
   - Duration: 8-15 seconds
   - Avoid jargon overload
   - Maintain a positive tone
2. Style Guidelines:
   - Use second-person "you"
   - Include interactive questions
   - End with a suspense hook
   - Keep conversational tone
3. Constraints:
   - Max 50 words
   - Avoid negative terms
   - No brand mentions
   - Avoid complex metaphors
## Workflow
- Goal: Create 3 unique intro options
- Steps:
  1. Analyze video’s core theme
  2. Develop varied entry points
  3. Refine language rhythm
- Expected Outcome: 3 high-quality, distinct intros
## Output Format
1. Format:
   - Type: Text
   - Structure: Numbered title + body
   - Style: Conversational
   - Special Requirement: Include estimated duration
2. Validation:
   - Read-aloud timing check
   - Word count verification
   - Auto-rewrite for non-compliant outputs
3. Example:
   1. Suspense Style:
      - Title: Curiosity Hook
      - Content: "How many AIs are 'thinking' right now? The answer might shock you..." (12s)
   2. Humor Style:
      - Title: Playful Tone
      - Content: "AI can’t open a bottle cap, so why’s it 'learning' all night?" (9s)

Optimized Output Example:

  1. Suspense Style: "What does AI dream about? The answer might change how you see tech…" (14s)
  2. Humor Style: "They say AI steals jobs, but it can’t even twist a bottle cap—truth revealed!" (11s)
  3. Interactive Style: "Your phone has 3 AI assistants. Guess what they’re up to right now?" (9s)

The optimized prompts ensure clarity, engagement, and alignment with short-video needs.

How to Use Prompt-Optimizer

  1. Online Version (Recommended)
  1. Vercel Deployment
  1. Chrome Extension
  • Install from the Chrome Web Store (may not always have the latest updates).
  • Click the icon to access the optimizer.
  1. Docker Deployment
   # Run container (default)
   docker run -d -p 80:80 --restart unless-stopped --name prompt-optimizer linshen/prompt-optimizer

   # Run with API key
   docker run -d -p 80:80 \
     -e VITE_OPENAI_API_KEY=your_key \
     --restart unless-stopped \
     --name prompt-optimizer \
     linshen/prompt-optimizer
  1. Docker Compose Deployment
   # Clone repository
   git clone https://github.com/linshenkx/prompt-optimizer.git
   cd prompt-optimizer

   # Optional: Create .env file for API keys
   cat > .env << EOF
   VITE_OPENAI_API_KEY=your_openai_api_key
   VITE_GEMINI_API_KEY=your_gemini_api_key
   VITE_DEEPSEEK_API_KEY=your_deepseek_api_key
   EOF

   # Start service
   docker compose up -d

   # View logs
   docker compose logs -f
  • Customize docker-compose.yml for port mapping or API keys.

Note: An API key (e.g., from SiliconFlow) is required for all methods.

Why Use Prompt-Optimizer?

  • Clearer Structure: Standardizes prompts with a consistent “instruction + requirement” format.
  • Precise Semantics: Replaces vague phrasing with targeted descriptions.
  • Multiple Options: Generates varied outputs for comparison and selection.

This tool is a time-saver for users new to prompt engineering or those seeking quick, high-quality results.

Use Cases

  • Content Creation: Craft prompts tailored for titles, scripts, or social media.
  • Coding: Write clearer prompts for tools like Copilot or GPT.
  • AI Product Testing: Refine user intent analysis and instruction design.

Why Prompt-Optimizer Matters

Struggling with ineffective prompts? Prompt-Optimizer simplifies the process, offering a lightweight, integrable solution for beginners and advanced users alike. By transitioning prompt engineering from trial-and-error to tool-driven efficiency, it’s a game-changer for maximizing AI potential.

Try it today at https://prompt.always200.com or explore the GitHub repository to get started!

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