Create Meta Prompts

What it does

This skill enables AI agents to generate structured meta-prompts that define the behavior, constraints, and output formats for subsequent tasks. It acts as a configuration layer, allowing agents to dynamically set up their own operational parameters before executing complex workflows.

When to use it

• You need an agent to adopt a specific persona or tone without hard-coding instructions into every request.
• You want to enforce strict output schemas (e.g., JSON, Markdown tables) across multiple iterations of a task.
• You are building a multi-step workflow where the first step must define the rules for all following steps.
• You need to dynamically adjust agent constraints based on user input before processing data.

Key capabilities

• Generates self-contained prompt templates that dictate agent behavior.
• Defines specific output formats and structural requirements.
• Sets operational constraints and boundary conditions for task execution.
• Creates reusable instruction sets for consistent agent performance.

Example prompts

• "Create a meta-prompt that configures an agent to act as a senior Python developer, requiring all code snippets to include type hints and docstrings."
• "Generate a meta-prompt that forces the output of any analysis task into a strict JSON format with specific nested keys for 'summary', 'data', and 'recommendations'."
• "Build a meta-prompt that restricts an agent to only answering questions about a provided text file, refusing any external knowledge or hallucinations."

Tips & gotchas

Ensure the generated meta-prompt includes clear failure modes; without explicit constraints, agents may ignore the formatting rules they were asked to create. Test the output format immediately after generation to verify the agent adheres to the new structural requirements before running batch tasks.