zenigame-improve-cycle

To automate an Alpha Factory improvement cycle, you orchestrate the analyze, plan, implement, execute, and report phases into a single repeatable workflow. Running the command initiates the automated loop, coordinating state tracking and phase progression automatically.

An automated improvement cycle workflow coordinates analysis, planning, implementation, execution, and reporting across runs. It enables data science teams to establish repeatable cycles for analyzing results, designing improvements, running experiments, and generating reports without manual handoffs.

Yes, you can run the improvement cycle in observe-only mode or skip consensus. The orchestration supports flexible run modes including --repeat, --observe-only, --skip-todo, and --skip-consensus to control automation levels and governance across workflow phases.

The workflow handles interruptions using built-in state management and documentation hooks. It tracks the current-cycle state using devnotes and a state file, enabling the automated orchestration to resume the improvement loop seamlessly after unexpected stops.

Yes, the orchestration workflow supports integration with Codex and Zenigame. It coordinates end-to-end Alpha Factory improvement cycles by satisfying requirements for phase progression, state tracking, emergency handling, and integration with these existing workflows.