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routing_explain

Explain AI routing decisions with selected skill, reasons, and confidence.

2|Updated May 11, 2026
Search Tags:#agent routing#AI reasoning#AI debugging#skill selection#routing explanation
One-click install
npx skills add https://github.com/le-goff-benoit/better_odoo_consultant --skill routing-explain
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: routing_explain
Source: https://github.com/le-goff-benoit/better_odoo_consultant/tree/main/skills/routing-explain
Command: npx skills add https://github.com/le-goff-benoit/better_odoo_consultant --skill routing-explain

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps users understand the reasoning behind the selection of a particular skill or agent in a conversational AI system.

Core Features & Use Cases

  • Routing Decision Explanation: Provides detailed information about the reasoning behind the selection of a skill or agent.
  • Debugging and Analysis: Useful for users who want to understand or debug routing decisions that seem unexpected.
  • Use Case: When a user asks, "Why did you use that tool?" or "How did you route this?", the skill can provide a detailed explanation of the routing decision.

Quick Start

Ask the AI, "Why did you use this tool?" and the AI will explain the routing decision.

Frequently Asked Questions about routing_explain

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I explain AI routing decisions when an agent selects the wrong skill?▼

AI routing decisions are explained by detailing the selected skill, the reasons for selection, and the confidence level. This allows you to debug unexpected agent routing logic and understand exactly why a specific tool was chosen during an interaction.

Why does my conversational AI choose a specific agent or tool for a prompt?▼

Your conversational AI chooses a specific agent based on internal routing logic and confidence levels. You can trace this decision by asking the system directly to explain its skill selection, providing detailed reasons for the chosen routing path.

How can I debug unexpected skill selection in my AI system?▼

You can debug unexpected skill selection by requesting a routing explanation, which analyzes the AI's reasoning process. This provides detailed information about the selected agent and the confidence level to help identify why the routing deviated from expectations.

What is AI agent routing and when do I need to trace it?▼

AI agent routing is the process of selecting a specific skill or tool to handle a conversational request. You need to trace routing decisions when analyzing unexpected AI behavior, debugging tool selection, or understanding the reasoning behind agent responses.

Can I see the confidence level of a routing decision in conversational AI?▼

Yes, you can see the confidence level of a routing decision by requesting an explanation of the AI's selection process. The system details the chosen skill, the reasons for selection, and the specific confidence level to aid in debugging.

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