which-skill-to-use

A decision tree framework helps you determine the right AI command by evaluating your immediate task requirements and routing you to the optimal skill for execution, debugging, or planning workflows.

The best way to select an AI skill for debugging a failed test is to use a skill selection guide that evaluates your current context and directs you to the appropriate debugging command within your AI agent environment.

To choose between planning and execution skills for implementing a new feature, use a skill mapping guide to route to a writing-plans command if you lack a plan, or an execution command if a plan already exists.

You need a skill selection framework for your AI agent environment when you have multiple available commands and must prevent wasted effort by efficiently routing tasks to the most appropriate execution, debugging, or completion workflow.

Yes, you can use a decision tree to map available AI commands to specific use cases by navigating the framework to understand the purpose and best application scenarios for various skills within your workflow.

Task routing guidance works for both planning and completion workflows by providing a decision-making framework that covers scenarios across execution, debugging, planning, and completion phases to ensure efficient skill selection.