Prompt Optimize
Labring's prompt-optimize refines your prompts to maximize AI model output quality and efficiency through iterative adjustments.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add prompt-optimize npx -- -y @trustedskills/prompt-optimize
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"prompt-optimize": {
"command": "npx",
"args": [
"-y",
"@trustedskills/prompt-optimize"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill helps refine and improve prompts given to AI agents. It analyzes existing prompts, suggests modifications to enhance clarity and effectiveness, and can iterate on prompts to achieve desired outcomes from the AI model. The goal is to maximize the quality of responses by optimizing the initial input.
When to use it
- You're getting inconsistent or unsatisfactory results from an AI agent.
- You want to ensure your instructions to an AI are as clear and precise as possible.
- You’re experimenting with different prompting techniques to improve performance on a specific task.
- You need help structuring complex requests for the AI model.
Key capabilities
- Prompt analysis
- Suggestion generation
- Iterative refinement
- Clarity enhancement
Example prompts
- "Optimize this prompt: 'Write a short story about a cat.'"
- "Can you improve this instruction for generating marketing copy? 'Create an ad for our new product.'"
- "Analyze and suggest improvements to this prompt: 'Summarize the following article...'"
Tips & gotchas
The effectiveness of this skill depends on the quality of the initial prompt; a poorly written prompt will be difficult to optimize. Consider providing context or examples alongside your prompts for better results.
Tags
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