agent-debugging

Diagnose ElevenLabs agent and Twilio call failures with a 5-step debugging methodology.

2|Updated Oct 24, 2025
One-click install
npx skills add https://github.com/onesmartguy/next-level-real-estate --skill agent-debugging
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-debugging
Source: https://github.com/onesmartguy/next-level-real-estate/tree/main/.claude/skills/agent-debugging
Command: npx skills add https://github.com/onesmartguy/next-level-real-estate --skill agent-debugging

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you quickly identify and resolve issues with ElevenLabs conversational AI agents and Twilio calls, preventing frustrating conversation breakdowns, poor audio quality, and failed interactions. It provides a systematic framework to get your AI agents performing optimally.

Core Features & Use Cases

  • 5-Step Debug Process: A systematic methodology to observe, reproduce, isolate, diagnose, and fix agent problems efficiently.
  • Audio & Call Quality Troubleshooting: Diagnose choppy audio, high latency, echo, and awkward pauses in AI conversations.
  • Context & Integration Debugging: Verify lead context injection and troubleshoot Twilio connection failures.
  • Performance & Reliability Analysis: Identify root causes for high call failure rates and system errors under load.

Quick Start

I need to debug why my ElevenLabs agent is giving off-topic responses and experiencing poor audio quality on Twilio calls. Analyze the conversation transcript and suggest fixes.

Frequently Asked Questions about agent-debugging

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

FAQPage Schema
How do I debug ElevenLabs conversational AI agents on Twilio calls?

Debugging ElevenLabs agents on Twilio uses a 5-step methodology: observe call behavior and logs, reproduce the issue, isolate the failure point (audio, context, or conversation logic), diagnose the root cause, and apply validated fixes to agent configuration, voice settings, model, or system prompts.

Why is my AI agent experiencing poor audio quality and latency on calls?

Audio quality and latency issues stem from Twilio connection problems, ElevenLabs voice configuration mismatches, or system load. Systematic troubleshooting isolates whether the problem is choppy audio, high latency, echo, or awkward pauses—then pinpoints whether it's a call infrastructure, agent voice, or resource constraint issue.

How do I fix conversation breakdowns and off-topic responses in my AI agent?

Conversation breakdowns occur from failed context injection, incorrect system prompts, or model misalignment. Analyze call transcripts against expected lead context, verify Twilio integration of injected data, validate system prompts match conversation goals, then apply configuration fixes to restore on-topic agent behavior.

Can I troubleshoot high call failure rates and agent startup errors?

Yes. Root-cause analysis identifies whether failures come from agent startup misconfiguration, Twilio connection timeouts, or ElevenLabs service errors. Structured diagnosis isolates the failure stage, examines error logs, and applies targeted fixes to agent initialization, voice model selection, or integration credentials.

What information do I need to debug a failing ElevenLabs agent?

Collect call transcripts, Twilio call logs, ElevenLabs error messages, system prompt configuration, and injected lead context. These inputs enable transcript analysis, error log correlation, context verification, and root-cause identification to generate validated fix templates for your agent.