session-management

Session management for AI coding work involves reading next-session briefs, verifying environments, and committing work with updated logs. This Skill automates that start, check, and end workflow to prevent missed session hygiene and ensure clean handoffs.

Tracking AI agent tasks and ensuring documentation updates means running mandatory session closeout steps. This Skill commits work, syncs documentation, updates logs, and leaves a clear handoff so the next session starts with clean context and no lost progress.

Verifying your repository environment before an AI coding session is done by running a session start setup. This Skill reads the next-session brief and active tasks, then verifies the environment so work begins with confirmed, up-to-date context.

AI coding sessions drift when session logs and handoff files fall out of sync. This Skill performs mid-session health checks to confirm logs are current, preventing progress loss and ensuring repository handoffs remain accurate.

Git is required for workflow automation in AI session management because the closeout process relies on commit steps to preserve continuity. This Skill uses git to commit work, sync documentation, and record task board updates for the next agent.