Prompt Engineering
Crafts optimized prompts for AI models to elicit desired responses, boosting accuracy and effectiveness in your applications.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add eyadsibai-prompt-engineering npx -- -y @trustedskills/eyadsibai-prompt-engineering
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"eyadsibai-prompt-engineering": {
"command": "npx",
"args": [
"-y",
"@trustedskills/eyadsibai-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 allows users to guide the agent's output by providing structured instructions and constraints, resulting in improved accuracy, relevance, and creativity. The skill focuses on refining prompt structure for better results from large language models.
When to use it
- Generating creative content: Use it when you need help writing stories, poems, or scripts with specific stylistic requirements.
- Extracting information: Employ this skill to ensure the AI agent accurately pulls key data points from a given text by structuring your request precisely.
- Code generation: Utilize it for generating code snippets in specific languages and adhering to particular coding standards.
- Summarization tasks: Guide the agent to produce summaries with a defined length or focus, ensuring conciseness and relevance.
Key capabilities
- Structured prompt creation
- Instruction refinement
- Constraint definition
- Output guidance
Example prompts
- "Write a short story about a robot learning to love, using a whimsical tone."
- "Summarize this article in three sentences, focusing on the economic impact."
- "Generate Python code for a simple web server that handles GET requests and returns 'Hello, World!'"
Tips & gotchas
The effectiveness of this skill relies heavily on clear and specific instructions. Experiment with different prompt structures to understand how they influence the AI agent's response.
Tags
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Security Audits
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| Snyk | Pass |
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