Meta Prompt Engineering
Optimizes prompts for AI models by analyzing and refining them—boosting response quality and accuracy for better results.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add meta-prompt-engineering npx -- -y @trustedskills/meta-prompt-engineering
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"meta-prompt-engineering": {
"command": "npx",
"args": [
"-y",
"@trustedskills/meta-prompt-engineering"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill allows you to craft more effective prompts for AI agents. It refines initial user requests, adding detail and structure to guide the agent towards a desired output. The skill is designed to improve the quality of responses by clarifying intent and providing context.
When to use it
- Generating creative content: Use it when needing help brainstorming or refining ideas for stories, poems, or scripts.
- Complex problem-solving: Employ this skill when tackling intricate tasks that require detailed instructions and specific constraints.
- Improving code generation: Leverage it to ensure the AI agent produces accurate and well-structured code by providing clear requirements.
- Data extraction & summarization: Use it to guide the agent in extracting precise information from text or summarizing lengthy documents with a focus on particular aspects.
Key capabilities
- Refines user prompts
- Adds detail and structure to requests
- Clarifies intent for AI agents
- Provides context for improved responses
Example prompts
- "Help me refine this prompt: 'Write a short story about a cat.'"
- "I want the agent to summarize this article, but focus on the economic impact. Can you help me structure my request?"
- “Can you improve this code generation prompt: ‘Write a Python function that sorts a list.’”
Tips & gotchas
The skill is most effective when given an initial prompt to work with; it’s not designed to generate prompts from scratch. Providing clear examples of the desired output can further enhance its refinement capabilities.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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