agent-autopilot

To automate multi-step task planning and execution, this Skill decomposes a high-level goal into manageable steps, executes them sequentially with repeated tool use, and delivers a final summary of completed actions and outcomes.

Checkpointed execution for long-running workflows is a progress tracking mechanism that provides status updates at defined intervals, ensuring autonomous sequential decisions maintain state and report completion accurately.

Yes, you need an OPENCODE_API_KEY environment variable for API access to run autonomous workflows, as the Skill requires this configuration to execute long-running multi-step tasks and sequential decisions.

Yes, you can use this for complex operational tasks requiring sequential decisions, as it applies autonomous workflows to open-ended problems, choosing an execution order and utilizing repeated tool calls to reach completion.

The best way to track progress for sequential reasoning cycles is using checkpointed execution, which provides status updates during long-running work and summarizes completed actions at the end.