Diagnoses and optimizes agent selection logic by analyzing keyword matches, confidence scores, and routing decision trees.
The Agent Routing Debugger provides deep visibility into the decision-making process of the Claude Code multi-agent orchestrator. It helps developers understand exactly why specific agents are triggered by identifying keyword matches, file pattern associations, and error pattern triggers. Whether you are dealing with unexpected agent selection, low confidence scores, or tuning a custom agent's activation triggers, this skill offers the diagnostic tools—including routing traces and comparative scoring—needed to refine and optimize your AI-powered development workflows.
Key Features
01Detailed routing analysis with confidence scoring
02Keyword and pattern listing for agent tuning
03Simulated routing traces for prompt testing
04Agent comparison and keyword mapping
05Comprehensive decision-tree visualization
060 GitHub stars
Use Cases
01Optimizing agent activation keywords for custom workflows
02Analyzing low confidence scores to improve prompt engineering or agent configurations
03Troubleshooting why an unexpected agent was selected for a specific prompt