Prompt Optimizer
The Prompt Optimizer refines your AI prompts for better results by suggesting improvements and variations, boosting response quality & efficiency.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add smallnest-prompt-optimizer npx -- -y @trustedskills/smallnest-prompt-optimizer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"smallnest-prompt-optimizer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/smallnest-prompt-optimizer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The smallnest-prompt-optimizer skill refines and optimizes prompts provided to AI agents. It aims to improve the quality of responses by analyzing and adjusting the input, potentially leading to more accurate, relevant, or creative outputs. This includes restructuring sentences and suggesting alternative phrasing for better clarity.
When to use it
- Improving initial prompt results: If an AI agent's first response isn’t satisfactory, use this skill to refine your original prompt.
- Complex instructions: For prompts with multiple steps or nuanced requests, the optimizer can help ensure the AI understands the desired outcome.
- Generating creative content: When seeking more imaginative outputs (stories, poems, etc.), optimize the prompt for better results.
- Debugging agent behavior: If an agent is consistently misunderstanding your intent, use this skill to diagnose and correct the underlying prompt issues.
Key capabilities
- Prompt analysis
- Sentence restructuring
- Phrase suggestion
- Improved clarity
Example prompts
- "Optimize this prompt: 'Write a short story about a cat detective.'"
- "Can you improve this instruction for generating an image? 'Draw a futuristic city.'"
- "Refine the following prompt to get more detailed results: 'Summarize this article.'"
Tips & gotchas
The effectiveness of the optimizer depends on the initial quality of the prompt. While it can improve clarity, it cannot compensate for fundamentally flawed instructions or requests.
Tags
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