step3

Automating codebase refactoring involves executing a pre-defined plan by orchestrating subagents for parallel or sequential processing. This Skill breaks down complex tasks into manageable phases, handling code modifications autonomously while managing dependencies and parallel execution groups.

Executing independent workflow phases concurrently is achieved by grouping tasks and dispatching them to subagents simultaneously. This parallel processing approach speeds up overall workflow execution while maintaining dependency management across the defined phases.

Failure handling during automated plan execution uses a strict all-or-nothing model with a checkpoint-and-reset protocol. When a task fails, the system resets to the last checkpoint, ensuring robust recovery and verifiable execution without partial code modifications.

Yes, automated task execution requires a pre-defined plan structured in the _step2_plan.md markdown file. This file defines the multi-phase plan that the Skill reads to dispatch tasks to subagents for processing.

Yes, autonomous code modifications run without manual intervention by dispatching tasks to subagents based on the plan. The Skill manages the execution, dependency resolution, and failure recovery autonomously, providing a controlled and verifiable refactoring process.

You should avoid subagent dispatching for workflow automation when tasks require human-in-the-loop validation or when the plan lacks clear phase dependencies. The strict all-or-nothing execution model is designed for fully autonomous, verifiable code modifications rather than interactive processes.