What problem does it solve? Running a long queue of implementation tickets in a single AI session degrades quality as context accumulates, and parallel sessions corrupt shared build state. This Skill orchestrates the queue autonomously: it dispatches one fresh subagent per ticket, tracks progress in a resumable ledger, and enforces review and checkpoint cycles without losing work when a session dies. ## Core Features & Use Cases - Frontier-based queue execution: Computes the unblocked ticket frontier from the issue tracker, recalculating after each ticket, and escalates tickets with foreign assignees or open design decisions. - Fresh subagent per ticket with two-axis review: Each ticket gets its own subagent with an inline brief; after implementation, two parallel reviewers (Standards axis and Spec axis) write reports that are returned to the implementing subagent to apply via amend. - Resumable ledger and checkpoint cycles: A per-feature ledger records SHAs, timings, and outcomes for crash recovery, and every five closed tickets the checkpoint skill runs a cross-ticket consistency review. - Use Case: You have a feature sliced into 20 tickets by /to-tickets. Invoke /ticket:run with the spec path, and the orchestrator executes the queue sequentially, reviewing and committing each ticket, pausing only to escalate blockers or spec-design conflicts to you. ## Quick Start Run /ticket:run with the path to your feature spec to execute its ticket queue autonomously with one fresh subagent per ticket.