kiro-impl

Autonomous task solving via TDD subagents is achieved by dispatching isolated subagents that follow strict RED–GREEN–REFACTOR cycles to complete predefined scope tasks. The kiro-impl skill coordinates these subagents to independently implement, validate, and commit tasks within repository boundaries.

The TDD workflow for autonomous task management requires subagents to write failing tests first, implement code to pass tests, and then refactor. The kiro-impl skill enforces this RED–GREEN–REFACTOR discipline alongside structured implementer and reviewer prompts to ensure validated, traceable code commits.

To run a subset of pending tasks, supply specific task numbers to the kiro-impl skill instead of running it without arguments. This executes only the selected tasks in the main context while maintaining the same TDD validation and structured status block requirements.

Yes, kiro-impl operates strictly within predefined _Boundary:_ scopes in a repository's SKILL scope. It uses spec sections to validate changes, ensuring modular execution and controlled commits that satisfy boundary management and traceable validation requirements.

Yes, you can execute selected tasks manually in the main context using kiro-impl's manual mode. This mode processes specified tasks directly without dispatching autonomous subagents, while still applying strict TDD discipline and structured validation for go or no-go decisions.

Structured status blocks are required for autonomous task implementation to enforce go or no-go decisions during code review. The kiro-impl skill uses these status blocks alongside implementer and reviewer prompts to ensure traceable validation and controlled commits before changes are approved.