Prompt Analyzer

The prompt-analyzer skill evaluates user inputs to identify potential issues, ambiguities, or missing context before an AI agent executes a task. It acts as a pre-flight check to ensure instructions are clear and actionable, reducing the likelihood of errors in complex workflows.

When to use it

• Before submitting complex multi-step coding tasks to verify logic flow and variable definitions.
• When drafting creative writing prompts to check for specific tone, style, or constraint requirements.
• During data analysis requests to ensure the query includes necessary context about the dataset structure.
• Prior to deploying automated agent workflows to validate that trigger conditions are explicitly defined.

Key capabilities

• Identifies ambiguous phrasing or vague instructions within a prompt.
• Highlights missing critical information required for successful task execution.
• Assesses potential conflicts between different constraints in the same request.
• Provides feedback on prompt structure to improve clarity and effectiveness.

Example prompts

• "Analyze this prompt for any ambiguities: 'Write a summary of the article.'"
• "Review my coding instruction to see if I've defined all necessary variables and libraries."
• "Check if my data analysis request includes enough context about the source dataset."

Tips & gotchas

Ensure you provide the full intended prompt for analysis, as partial inputs may lead to incomplete feedback. While this skill improves prompt quality, it does not execute the task itself; it only prepares the instruction for execution.