orchestrate-batch-refactor

# Orchestrate Batch Refactor ## Overview Use this skill to run high-throughput refactors safely. Analyze scope in parallel, synthesize a single plan, then execute independent work packets with sub-agents. ## When to Use - When a refactor spans many files or subsystems and needs clear work partitioning. - When you need dependency-aware planning before parallel implementation. ## Inputs - Repo path and target scope (paths, modules, or feature area) - Goal type: refactor, rewrite, or hybrid - Constraints: behavior parity, API stability, deadlines, test requirements ## When to Use Parallelization - Use this skill for medium/large scope touching many files or subsystems. - Skip multi-agent execution for tiny edits or highly coupled single-file work. ## Core Workflow 1. Define scope and success criteria. - List target paths/modules and non-goals. - State behavior constraints (for example: preserve external behavior). 2. Run parallel analysis first. - Split target scope into analysis lanes. - Spawn `explorer` sub-agents in parallel to analyze each lane. - Ask each agent for: intent map, coupling risks, candidate work packets, required validations. 3. Build one dependency-aware plan. - Merge explorer output into a single work graph. - Create work packets with clear file ownership and validation commands. - Sequence packets by dependency level; run only independent packets in parallel. 4. Execute with worker agents. - Spawn one `worker` per indepen...