Session Logger

The session-logger skill enables AI agents to automatically record and track user interactions within a specific session. It captures detailed logs of activities, timestamps, and context to provide a complete history of the agent's performance during that interaction window.

When to use it

• Audit complex multi-step workflows to verify every action taken by the agent.
• Debug issues by reviewing exactly what occurred during a failed task execution.
• Generate compliance reports requiring proof of specific user interactions or data access.
• Analyze session duration and activity patterns to optimize future agent responses.

Key capabilities

• Automatic recording of all actions taken within the current session context.
• Timestamped logging of events for precise timeline reconstruction.
• Preservation of interaction history for post-session analysis.

Example prompts

• "Start a new session and log every step you take while setting up the project environment."
• "Before we begin troubleshooting, please enable session logging so I can review your actions later."
• "Log this entire debugging session including all error messages and commands executed."

Tips & gotchas

Ensure the agent has permission to write logs before initiating complex tasks that require auditing. Session data is typically ephemeral; retrieve or export logs immediately after a task concludes if long-term storage isn't configured.