Create Meta Prompts
Generates optimized, layered prompts to guide AI models toward more nuanced and complex creative outputs.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add kyldvs-create-meta-prompts npx -- -y @trustedskills/kyldvs-create-meta-prompts
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"kyldvs-create-meta-prompts": {
"command": "npx",
"args": [
"-y",
"@trustedskills/kyldvs-create-meta-prompts"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill allows you to generate meta-prompts, which are prompts designed to guide and improve the performance of other AI agents. It helps craft instructions that shape an agent's behavior, output style, or reasoning process. The tool is specifically designed for creating these higher-level prompting structures rather than direct task requests.
When to use it
- Refining Agent Behavior: You want to encourage a specific tone (e.g., formal, humorous) in responses from another AI agent.
- Improving Reasoning: You need an agent to think step-by-step or explain its reasoning before providing an answer.
- Controlling Output Format: You require the output of another agent to adhere to a specific structure (e.g., JSON, Markdown table).
- Defining Roles & Constraints: You want to clearly define the role and limitations for an AI agent performing a task.
Key capabilities
- Generates meta-prompts.
- Designed for guiding other AI agents.
- Shapes behavior, output style, and reasoning.
Example prompts
- "Create a meta-prompt that instructs an AI to respond in the style of Ernest Hemingway."
- "Generate a prompt to guide an agent to think step by step before answering questions about history."
- "I need a meta-prompt to ensure an agent always outputs data as a JSON object. Can you create one?"
Tips & gotchas
The effectiveness of this skill relies on understanding how to structure prompts for other AI agents. It's not intended for directly executing tasks, but rather for crafting the instructions that other agents will follow.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.