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Watchdog

Monitor AI-Pack system logs to diagnose systemic failures and propose framework fixes.

1|Updated Jan 5, 2026
Search Tags:#troubleshooting#system monitoring#systemic issues#framework health#ai agent diagnostics#ai-pack
One-click install
npx skills add https://github.com/Cortexa-LLC/ai-pack --skill watchdog-cortexa-llc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Watchdog
Source: https://github.com/Cortexa-LLC/ai-pack/tree/main/templates/.claude/skills/watchdog
Command: npx skills add https://github.com/Cortexa-LLC/ai-pack --skill watchdog-cortexa-llc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill acts as a system-level guardian, identifying and diagnosing systemic failures within the AI-Pack framework itself, ensuring the overall health and reliability of the AI agent system.

Core Features & Use Cases

  • Systemic Failure Detection: Monitors all AI roles (Orchestrator, Coordinator, Agents) for patterns indicating framework issues, not individual task bugs.
  • Root Cause Diagnosis: Analyzes observed patterns to pinpoint whether problems stem from configuration, guidance, infrastructure, or coordination.
  • Framework Fix Proposals: Recommends specific, actionable improvements to skill files, scripts, configuration, or architecture to resolve systemic issues.
  • Use Case: If multiple agents repeatedly encounter permission errors across different tasks, the Watchdog will identify this as a systemic configuration issue and propose updating the framework's default permission settings.

Quick Start

Run a comprehensive system check to diagnose any potential framework issues.

Frequently Asked Questions about Watchdog

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

FAQPage Schema
How do I diagnose systemic AI agent failures across my framework?▼

System health monitoring analyzes system logs and agent status trackers to detect repeated blockers across Orchestrator, Coordinator, and individual agents, identifying systemic framework health issues rather than isolated task bugs.

Why do my AI agents repeatedly encounter permission errors across different tasks?▼

Repeated permission errors across different tasks indicate a systemic configuration issue, which system diagnostics can identify and propose resolving by updating the framework's default permission settings.

How do I monitor framework health for Orchestrator and Coordinator roles?▼

Framework health monitoring tracks all AI roles including Orchestrator and Coordinator by analyzing agent status trackers and coordination checkpoints to detect patterns of systemic failures or coordination breakdowns.

What's the best way to propose framework-level fixes for infrastructure malfunctions?▼

Framework-level fixes are proposed by diagnosing root causes from observed systemic patterns, then recommending specific actionable improvements to skill files, scripts, configuration, or architecture to resolve the malfunctions.

Do I need system logs to perform AI agent diagnostics?▼

System logs are required to perform AI agent diagnostics, alongside access to agent status trackers and coordination checkpoints, enabling the system to accurately analyze and report framework health.

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