Selecting Agents

What problem does it solve?

With multiple specialized AI agents available, choosing the optimal one for a given task can be confusing and inefficient. This Skill provides a clear decision guide to ensure the right agent is always dispatched, saving you time and optimizing AI resource usage.

Core Features & Use Cases

• Agent Decision Guide: Categorizes agents (Documentation, Debugging, Development) and outlines their specific when_to_use scenarios.
• Automatic Selection Logic: Explains how the /execute command uses this Skill's logic for automatic agent dispatch, streamlining complex workflows.
• Common Confusion Resolution: Clarifies overlapping scenarios to prevent mis-dispatching agents, ensuring accurate task assignment.
• Use Case: After a complex debugging session, use this Skill to determine whether to dispatch the technical-writer (for code-sync docs) or retrospective-writer (for learning capture), ensuring all necessary documentation is created without manual guesswork.

Quick Start

When you need to decide which agent to use:

Consider the task type:

- Code changes affecting docs? -> technical-writer (/doc-review)

- Completed work, lessons learned? -> retrospective-writer (/summarise)

- Complex debugging? -> ultrathink-debugger

- Rust development? -> rust-engineer

- Code review? -> code-reviewer