What is the Agent Selector skill?

It is a specialized plugin for Claude Code that analyzes your prompts to choose the best specialized persona, such as a Tester, Reviewer, or Researcher, for your specific task.

Can I override the automatic selection?

Yes, you can manually specify an agent using the task command if you want to bypass the automatic keyword-based routing and force a specific behavior.

How does it decide which agent to use?

It uses a priority-based keyword matching system combined with context clues—like file names in the workspace and project tags—to determine the most appropriate agent.

Does it support multi-step tasks?

Yes, the skill can detect complex tasks that require a sequence of agents, such as researching a topic before implementation and then following up with documentation.

Which agents are included in this skill?

The skill includes specialized logic for Coder (Default), Tester, Research, Reviewer, Refactor, Documentation, and Cleanup agents.

Agent Selector

Name: Agent Selector
Author: MacroMan5

byMacroMan5

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Productivity & Workflow

Intelligently routes coding tasks to specialized agents based on user prompt keywords and project context.

About

The Agent Selector skill transforms Claude Code into a multi-agent orchestration platform by automatically identifying the specific nature of a request and delegating it to the most qualified virtual specialist. Whether you need deep research, comprehensive unit testing, security-focused code reviews, or architectural refactoring, this skill parses triggers and context—such as file types and code duplication levels—to ensure the model adopts the optimal persona and toolset for the task at hand. It streamlines the development lifecycle by eliminating the need for manual role-prompting and ensuring high-quality outputs through domain-specific guidance.

Key Features

Automated keyword-based routing for 7+ specialized agent types
2 GitHub stars
Manual override capabilities for precise control over agent behavior
Context-aware selection analyzing file types and project metadata
Performance metrics logic for tracking and improving routing accuracy
Support for multi-agent sequential workflows like Research to Implementation

Use Cases

Ensuring the Tester Agent is invoked for coverage-related tasks to maintain high code quality
Directing complex refactoring requests to a dedicated Refactor Agent to reduce code complexity
Automatically triggering the Research Agent when querying external APIs or library comparisons

About

Key Features

Automated keyword-based routing for 7+ specialized agent types
2 GitHub stars
Manual override capabilities for precise control over agent behavior
Context-aware selection analyzing file types and project metadata
Performance metrics logic for tracking and improving routing accuracy
Support for multi-agent sequential workflows like Research to Implementation

Use Cases

Ensuring the Tester Agent is invoked for coverage-related tasks to maintain high code quality
Directing complex refactoring requests to a dedicated Refactor Agent to reduce code complexity
Automatically triggering the Research Agent when querying external APIs or library comparisons