Prompt Enhancer

What it does

The Prompt Enhancer transforms user prompts into optimized, production-ready versions. It focuses on conciseness, clear structure, and efficient token usage for AI agents and sub-agents. The skill aims to improve prompt clarity while maintaining semantic accuracy and backward compatibility, potentially reducing LLM output tokens and API costs.

When to use it

• When a user explicitly requests improvements or optimization of a prompt.
• When the user submits an unclear, verbose, or poorly structured prompt.
• When a user wants to reduce LLM output tokens or API costs.
• When a user needs help writing prompts for agents or automation.

Key capabilities

• Conciseness: Removes unnecessary words while preserving intent.
• Structure: Uses clear formatting with multiple lines and logical sections, potentially including XML tags for clarity.
• Token Optimization: Reduces LLM output tokens to lower API costs.
• Task-Based Techniques (Optional): Can apply techniques like Chain-of-Thought (CoT), Chain-of-Draft, Few-Shot Learning, ReAct, Self-Consistency, Tree-of-Thoughts, Role-Based Prompting, and Least-to-Most Prompting when appropriate.
• Clean Output: Returns only the enhanced prompt without additional commentary.

Example prompts

• "Can you improve this prompt: 'Write a short story about a cat'?"
• "Optimize this prompt for token efficiency: 'Summarize this article and extract key entities.'"
• "I need help writing a prompt to guide an agent through a complex process."

Tips & gotchas

• The skill automatically applies optimization techniques, but it’s best used when the user explicitly requests prompt enhancement.
• While XML integration is possible, ensure that the main task or quest isn't wrapped within XML elements.
• Techniques like Chain-of-Thought are applied selectively only if they demonstrably improve the outcome.