Lists and monitors active SAGA AI sessions by providing structured data on running stories and task durations.
The SAGA Session Monitor skill provides developers with essential visibility into background AI processes managed by the SAGA framework. It automatically executes dashboard queries to retrieve running session data and parses complex session strings into a human-readable table format. By extracting story IDs and calculating elapsed time from Unix timestamps, it allows users to quickly identify specific tasks, monitor progress, and access the necessary identifiers for log streaming or session termination.
Key Features
01Identifies exact session names for precise log viewing and management
02Parses session names to extract human-readable story identifiers
03Displays a real-time table of all active SAGA story sessions
04Provides quick-reference commands for killing or debugging active sessions
05Calculates and displays elapsed time since session start
0610 GitHub stars
Use Cases
01Retrieving specific session IDs for deep-dive log analysis and debugging
02Identifying orphaned sessions that need to be manually terminated
03Tracking multiple parallel AI story generations to monitor progress
