Can I use this for cost management?

Yes, it includes specific alerts and dashboard panels for tracking USD costs per agent and alerting on unexpected spending spikes or high-duration calls.

Is it compatible with Prometheus or Grafana?

The skill provides alerting rules and metric structures that are designed to be easily integrated into standard monitoring systems like Prometheus and Grafana dashboards.

What metrics does this skill track for Retell AI?

It tracks call completion rates, average call duration, conversational latency (P50/P95), disconnect reasons, and per-minute cost analysis.

How does it handle real-time monitoring?

It provides boilerplate code and configurations for setting up webhook handlers that ingest Retell AI events into your monitoring stack for immediate feedback.

Retell AI Observability

Name: Retell AI Observability
Author: micsapp

bymicsapp

0•

분석 및 모니터링

Monitors and optimizes Retell AI voice agent performance through comprehensive metrics, real-time alerting, and cost tracking.

The Retell AI Observability skill provides developers with a robust framework for monitoring voice agent interactions, ensuring high call quality and cost-efficiency. It automates the setup of webhook handlers for real-time events, tracks conversational latency to improve user experience, and configures detailed alerting rules for call failures or cost spikes. This skill is essential for teams deploying Retell AI in production who need deep visibility into agent performance, conversational success rates, and infrastructure health across their voice AI stack.

주요 기능

01Real-time webhook integration for call event monitoring

020 GitHub stars

03Conversational latency tracking (P50/P95) for UX optimization

04Detailed cost analysis and per-agent budget tracking

05Pre-configured alerting rules for high drop rates and system errors

06Automated dashboard panel definitions for voice performance visualization

사용 사례

01Auditing AI voice costs and agent performance across multiple campaigns

02Identifying and resolving conversational latency issues in real-time calls

03Setting up production monitoring for high-volume voice AI deployments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills retellai-observability

For use in Claude.ai and ChatGPT

주요 기능

01Real-time webhook integration for call event monitoring

020 GitHub stars

03Conversational latency tracking (P50/P95) for UX optimization

04Detailed cost analysis and per-agent budget tracking

05Pre-configured alerting rules for high drop rates and system errors

06Automated dashboard panel definitions for voice performance visualization

사용 사례

01Auditing AI voice costs and agent performance across multiple campaigns

02Identifying and resolving conversational latency issues in real-time calls

03Setting up production monitoring for high-volume voice AI deployments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills retellai-observability

For use in Claude.ai and ChatGPT