Prompt Engineering
Crafts optimized prompts for AI models to elicit desired responses, boosting accuracy and effectiveness in various applications.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add sabahattinkalkan-prompt-engineering npx -- -y @trustedskills/sabahattinkalkan-prompt-engineering
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"sabahattinkalkan-prompt-engineering": {
"command": "npx",
"args": [
"-y",
"@trustedskills/sabahattinkalkan-prompt-engineering"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill helps AI agents craft more effective prompts. It enables users to refine instructions for language models, leading to improved output quality and accuracy. The tool focuses on generating better results from large language models (LLMs) through prompt optimization techniques.
When to use it
- Generating creative content: Use this when you need the LLM to write stories, poems, or scripts that are engaging and well-structured.
- Improving code generation: Employ this skill when requesting code snippets to ensure they're syntactically correct and functionally sound.
- Extracting specific information: Leverage it for tasks like summarizing documents or answering questions where precise answers are crucial.
- Refining complex instructions: Use the tool to break down complicated requests into smaller, more manageable prompts for better LLM comprehension.
Key capabilities
- Prompt optimization
- LLM instruction refinement
- Creative content generation support
- Code generation improvement
Example prompts
- "Optimize this prompt for generating a short story: 'Write a story about a cat.'"
- "Refine the following code generation request: 'Create a Python function to calculate Fibonacci numbers.'"
- "Improve this instruction for summarizing a document: 'Summarize this article.'"
Tips & gotchas
This skill requires a basic understanding of how LLMs work and the types of prompts they respond well to. Experimentation with different prompt structures is key to achieving optimal results.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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