Prompt Extractor

The prompt-extractor skill analyzes natural language instructions to generate structured, optimized prompts for AI agents. It transforms vague user requests into precise commands that improve response accuracy and consistency across different agent configurations.

When to use it

• Refining complex, multi-step tasks that require specific formatting or constraints.
• Standardizing input for batch processing where consistent prompt structure is critical.
• Converting informal conversational queries into technical instructions for specialized agents.
• Debugging poor AI responses by restructuring the original user intent into a clearer format.

Key capabilities

• Parses unstructured text to identify core intent and necessary parameters.
• Generates optimized prompt structures based on the analyzed input.
• Enhances clarity by removing ambiguity from raw user queries.

Example prompts

• "Extract a structured prompt for an AI agent that summarizes this article into bullet points."
• "Use prompt-extractor to convert my vague request about 'making things better' into a specific optimization task."
• "Analyze this conversation history and extract the optimal prompt to continue the discussion on topic X."

Tips & gotchas

Ensure your input contains sufficient context for the extractor to identify specific constraints; overly brief inputs may result in generic outputs. This skill is most effective when used as a preprocessing step before sending complex instructions to an agent.