user-feedback-clarity

What it does

This skill enables AI agents to interpret and respond effectively to ambiguous or unclear user inputs. It helps the agent recognize when a request lacks necessary context and prompts for clarification before proceeding with tasks.

When to use it

• Ambiguous Requests: When a user provides a vague command like "fix the issue" without specifying which problem they are facing.
• Incomplete Data: When an input is missing critical parameters required to execute a function, such as dates or file names.
• Context Switching: When a conversation shifts topics abruptly and the agent needs to re-establish the current context.
• Conflicting Instructions: When user inputs contain contradictory requirements that need resolution before action.

Key capabilities

• Detects semantic ambiguity in natural language queries.
• Identifies missing variables or parameters in task requests.
• Generates targeted follow-up questions to resolve uncertainty.
• Prevents execution of actions based on misunderstood instructions.

Example prompts

• "I need help with my report, but I'm not sure if you have the latest draft."
• "Can you summarize the meeting notes?" (followed by missing file attachment)
• "Change the settings to be faster and quieter at the same time."

Tips & gotchas

This skill is most effective when paired with other communication skills that allow the agent to politely ask follow-up questions. Ensure your system prompts explicitly instruct the agent to pause execution if clarity cannot be confirmed.