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agent-observability

Stream Claude Code agent events to a filesystem-based observability dashboard.

2|1|Updated Oct 11, 2025
Search Tags:#debugging#AI agents#agent workflow#observability#human-in-the-loop#real-time monitoring#event logging
One-click install
npx skills add https://github.com/rafaelcalleja/claude-market-place --skill agent-observability-rafaelcalleja
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-observability
Source: https://github.com/rafaelcalleja/claude-market-place/tree/main/plugins/personal-ai-infrastructure/skills/agent-observability
Command: npx skills add https://github.com/rafaelcalleja/claude-market-place --skill agent-observability-rafaelcalleja

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Understanding the complex, multi-agent interactions and decision-making processes of your AI can be opaque. This skill provides real-time observability to demystify agent activity, helping you debug and optimize workflows.

Core Features & Use Cases

  • Real-time Event Stream: Captures and displays all agent actions, thoughts, and tool calls as they happen.
  • Swimlane Visualization: Offers a clear, chronological view of individual agent contributions in multi-agent workflows.
  • Human-in-the-Loop (HITL) Notifications: Alerts you to critical events, allowing for timely intervention and course correction.
  • Historical Analysis: Stores and visualizes past agent interactions for post-mortem analysis and optimization.
  • Use Case: Debug why a multi-agent development task failed by reviewing the exact sequence of tool calls and internal thoughts of each agent, identifying bottlenecks or errors in real-time or historically.

Quick Start

Use the agent-observability skill to start monitoring all active AI agent events in real-time.

Frequently Asked Questions about agent-observability

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

FAQPage Schema
How do I monitor AI agent activity in real-time?▼

Real-time monitoring captures all agent actions, thoughts, and tool calls as they happen through event streaming. Agent-observability connects to Claude Code agent events, displaying them live in a filesystem-based dashboard without requiring a database.

Can I debug multi-agent workflows by viewing individual agent contributions?▼

Swimlane visualization organizes agent actions chronologically by individual agent, letting you trace exact sequences of tool calls, thoughts, and decisions across multi-agent workflows to identify bottlenecks or failures.

How do I set up observability for my AI agents without a database?▼

Agent-observability uses a filesystem-first architecture storing daily JSONL logs in ~/.claude/history/raw-outputs with an in-memory last-1000-events cache and WebSocket streaming, requiring no external database setup.

What happens when agents encounter errors—can I get alerts?▼

Human-in-the-loop notifications alert you to critical events including errors across multiple agents, enabling real-time intervention and course correction before workflows complete.

Can I review past agent interactions for analysis?▼

Historical analysis stores and visualizes past agent interactions through daily JSONL logs, allowing post-mortem debugging and optimization of multi-agent workflows.

Does agent observability work with tool usage and session tracking?▼

Event capture applies across tool usage, sessions, subagent launches, errors, and prompts, giving complete visibility into all agent activity types within a single observability dashboard.

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