What problem does it solve? Running an AI agent unattended for long periods risks uncontrolled scope creep, destructive actions, and lost progress. This Skill defines a disciplined autonomous cruise process for the TritonKit repository so the agent keeps making verifiable, reversible progress while the user is away. ## Core Features & Use Cases - Guardrailed Autonomy: Converts ordinary uncertainty into explicit assumptions while enforcing hard stop conditions for credentials, destructive commands, pushes, tags, releases, and security risks. - Sliced Execution with Checkpoints: Breaks work into small verifiable slices, runs focused validation per slice, and records checkpoint commits with evidence, assumptions, and remaining risks. - Subagent Supervision: Limits parallel subagents, assigns read-only audits or clearly scoped implementation work, and requires the controlling agent to verify all subagent output against diffs and tests. - Use Case: A maintainer says "I'm away for the weekend, keep improving TritonKit." The agent inventories the repo, queues small slices, commits verified checkpoints, and produces a final cruise wrap report with backlog and risks. ## Quick Start Tell the agent to start an autonomous cruise on the TritonKit repository with a defined goal, budget, and stop conditions, then let it execute sliced checkpoints until you return.