Skill Selector

Overview

The skill-selector uses internal curiosity asking—a self-questioning approach where the agent asks itself strategic questions and answers them based on available context—to understand user needs and automatically recommend the most appropriate skills. Instead of asking the user questions, the agent analyzes the request, examines available context (files, project structure, conversation history), asks itself key questions internally, infers answers from context, and then matches those needs to available skills.

Core Workflow

1. Analyze the Request

When a user's request is unclear or could match multiple skills:

• Examine the request - Parse what the user is asking for
• Check available context - Look at open files, project structure, conversation history
• Identify gaps - Determine what information is missing
• Infer from context - Use available information to fill gaps

2. Self-Questioning (Internal Curiosity Asking)