amoa-progress-monitoring

You can monitor agent progress by tracking state transitions like Acknowledged, Active, and Blocked. This skill detects stalled state transitions automatically and triggers escalations to keep tasks moving forward.

Progress monitoring detects Acknowledged, Active, No Progress, Stale, Unresponsive, Blocked, and Complete states. These state transitions identify when an agent stalls and requires escalation to continue task execution.

Automate escalations by detecting unresponsive or stale agent states. This skill triggers reminders, raises blockers, and initiates reassignment actions automatically when stalled state transitions are identified.

Yes, you need AI Maestro, access to task and agent data, and proper GitHub issue labeling to function correctly. These prerequisites enable accurate state tracking and automated blocker handling across assigned tasks.

Yes, progress monitoring produces dashboard-friendly outputs including state reports and escalation artifacts. These outputs provide stakeholders with visibility into agent progress, stalled states, and triggered blocker escalations.

Progress monitoring fails when prerequisites are missing. Without AI Maestro, task and agent data access, or proper GitHub issue labeling, the skill cannot detect stalled state transitions or trigger escalations correctly.