Observability

Monitor real-time multi-agent activity and tool usage via WebSocket streaming.

9|1|Updated Apr 16, 2026
One-click install
npx skills add https://github.com/CarbeneAI/Forge --skill observability-carbeneai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Observability
Source: https://github.com/CarbeneAI/Forge/tree/main/.claude/skills/Observability
Command: npx skills add https://github.com/CarbeneAI/Forge --skill observability-carbeneai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Real-time monitoring of PAI multi-agent activity and interactions to help you debug and understand agent workflows as they happen.

Core Features & Use Cases

  • Real-time dashboard of agent sessions, tool calls, and hook events
  • WebSocket streaming of events to a live UI for immediate insights
  • In-memory ingestion from daily JSONL event logs with minimal persistence
  • Use cases include debugging complex multi-agent workflows, tracing agent interactions, and monitoring agent health

Quick Start

Start the observability dashboard using the provided control script: ~/.claude/skills/observability/manage.sh start

Frequently Asked Questions about Observability

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

FAQPage Schema
How do I monitor real-time multi-agent activity and tool usage?

You can monitor real-time multi-agent activity by streaming hook events and tool calls to a live dashboard via WebSocket, ingesting daily JSONL event logs in-memory for immediate workflow debugging insights.

What is the best way to debug complex multi-agent workflows as they happen?

Debugging multi-agent workflows in real-time requires streaming agent sessions and hook events to a live UI, allowing you to trace interactions and monitor agent health instantly as they occur.

How do I start the observability dashboard for agent sessions?

Start the observability dashboard by running the provided control script manage.sh with the start command, which initializes WebSocket streaming and in-memory event ingestion for your agents.

Does this real-time dashboard require a persistent database for event logs?

No persistent database is required; the dashboard uses in-memory ingestion from daily JSONL event logs with minimal persistence to stream agent activity and hook events efficiently.

Can I trace hook events across multiple AI agents simultaneously?

Yes, you can trace hook events across multiple AI agents simultaneously by applying WebSocket streaming to a live dashboard, capturing tool usage and interactions for end-to-end operational monitoring.