Prompt Optimizer
The Prompt Optimizer refines your AI prompts for better results by suggesting improvements and variations, boosting response quality and efficiency.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add hikanner-prompt-optimizer npx -- -y @trustedskills/hikanner-prompt-optimizer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"hikanner-prompt-optimizer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/hikanner-prompt-optimizer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The Hikanner Prompt Optimizer skill refines and improves user prompts to enhance AI agent performance. It analyzes existing prompts, identifies areas for improvement, and suggests modifications that lead to more accurate or desirable outputs. This ultimately helps users get better results from their AI agents with less effort in prompt engineering.
When to use it
- You're consistently getting unsatisfactory responses from your AI agent despite trying different prompts.
- You want to streamline the process of creating effective prompts for complex tasks.
- You are new to prompt engineering and need assistance crafting clear, concise instructions for an AI model.
- You’re looking to improve the efficiency and accuracy of automated workflows that rely on AI agent responses.
Key capabilities
- Prompt analysis
- Suggestion generation
- Refinement of existing prompts
- Improved output quality
Example prompts
- "Optimize this prompt: 'Write a short story about a cat.'"
- "Can you improve the clarity of this prompt for generating marketing copy? [Paste Prompt Here]"
- "I'm getting inconsistent results. Analyze and refine this prompt: 'Summarize this article.'"
Tips & gotchas
The skill’s effectiveness depends on the quality of the initial prompt; a poorly structured or vague starting point may limit its ability to generate significant improvements. Consider providing context alongside your prompts for better optimization.
Tags
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