parallel-implementation

You slice a complex coding task into independent components by defining file assignments, dependency inputs/outputs, and export-ready dispatch contracts for each parallel subagent. This generates a dispatch-ready plan for worktree isolation.

Use parallel subagents for multi-file code changes when working on multi-module greenfield tasks, edits spanning several modules, or large-scale refactors. This approach reduces total time when parallel work yields benefits while avoiding file conflicts.

A dispatch-ready plan for parallel coding workflows specifies requirements for each task slice, including input/output boundaries and dependencies. It provides explicit file assignments and export-ready contracts for concurrent subagent execution.

Prevent file conflicts during parallel subagent execution by assigning explicit file boundaries and dependency inputs to each slice. The generated plan uses worktree isolation to separate concurrent operations and defines output contracts avoiding overlapping changes.

Yes, you can use parallel task planning for multi-file code reviews where parallel work yields benefits. The skill divides large-scale reviews touching several files into independent slices with clear boundaries for concurrent evaluation.

Parallel task slicing works for greenfield 0→1 development across multiple modules by generating independent slices with defined file changes and data flows. The dispatch-ready plan assigns boundaries and output contracts for concurrent module building.