Monitors and manages the deployment status, versions, and health of AI agents within Kubernetes clusters.
This skill provides a centralized interface for tracking AI agents deployed in a Kubernetes environment. It automates the retrieval of source versions from project metadata, matches them against live container images, and reports real-time pod statuses and logs. Designed for developers managing multi-agent systems, it simplifies the observability workflow by providing a single source of truth for agent deployment parity, health metrics, and runtime troubleshooting directly within the Claude interface.
Características Principales
01Version auditing for shared core agent libraries
02Automated discovery of AI agents within the project structure
03Comparison between source versioning and deployed image tags
04Real-time Kubernetes pod status and health monitoring
05Instant access to recent container logs and deployment history
061 GitHub stars
Casos de Uso
01Troubleshooting agent crashes or 'unknown' pod statuses through integrated log retrieval
02Ensuring version consistency across a fleet of specialized AI agents and their shared dependencies
03Verifying that the latest agent code changes have been successfully deployed to production
