Prompt Optimization
Refines user prompts to maximize AI model output quality, clarity, and relevance 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-optimization npx -- -y @trustedskills/prompt-optimization
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"prompt-optimization": {
"command": "npx",
"args": [
"-y",
"@trustedskills/prompt-optimization"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill refines and improves prompts to enhance AI agent output. It analyzes existing prompts, suggests modifications for clarity and effectiveness, and helps users iterate towards optimal results. The goal is to increase the quality, relevance, and accuracy of responses from large language models.
When to use it
- You're getting inconsistent or unsatisfactory results from an AI agent.
- You want to improve the creativity or detail in generated content (e.g., writing, code).
- You need to ensure a prompt is clear and unambiguous for complex tasks.
- You are trying to reduce hallucinations or errors in responses.
Key capabilities
- Prompt analysis
- Suggestion of modifications
- Iteration support
- Clarity enhancement
Example prompts
- "Analyze this prompt: 'Write a short story about a cat.'"
- "Suggest improvements for the following prompt to get more detailed results: 'Summarize this article.'"
- "I want to generate code. How can I improve this prompt: 'Write a function that sorts a list?'"
Tips & gotchas
The effectiveness of this skill depends on the quality and specificity of your initial prompts. Providing context or examples alongside the prompt you wish to optimize will yield better results.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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