dqx-agent-selector

Selecting the right AI agent involves mapping your task type—like planning, implementation, or API design—to the specialized DQX agent built for that workflow. It applies a decision framework to recommend the correct agent based on your functional criteria.

Choosing a DQX agent for multi-agent workflows requires a practical decision framework that clarifies agent roles and responsibilities. This skill provides usage guidance and recommended task sequences to ensure correct agent selection across common development cycles.

Yes, you can use a decision framework to map task types to specialized agents. It provides a clear mapping from tasks like planning, PR feedback, and API design to the appropriate DQX agent, streamlining feature development and maintenance workflows.

Yes, this agent selector helps with onboarding to specialized AI assistant roles by serving as a reference. It clarifies the responsibilities of planning, implementation, and documentation agents to improve selection in real-world projects.

You should use a specialized agent when your task requires specific functional criteria, such as API design or PR review, that a general AI assistant may not cover. The decision framework identifies when specialized mapping is necessary for effective collaboration.