What problem does it solve? Complex, cross-module work often overwhelms a single AI session with excessive context, unclear handoffs, and integration failures. This Skill guides the AI to first assess task scale, then split large work into atomic, independently deliverable subtasks with minimal context requirements, and coordinate sub-agents, humans, or other executors toward a complete module. ## Core Features & Use Cases - Scale Assessment: Distinguishes small fixes from large modules before deciding whether decomposition is needed, avoiding both over-splitting and context explosion. - Atomic Task Packages: Defines each subtask with goal, scope, inputs, outputs, dependencies, non-goals, acceptance criteria, and risks so any executor can work with minimal context. - Orchestration & Integration: Keeps the main AI as the central scheduler managing parallel/serial relationships, result collection, conflict resolution, and final consistency checks. - Use Case: When building a feature spanning data, logic, UI, and configuration, use this Skill to split it into independently verifiable subtasks, assign them to sub-agents or developers in parallel, then integrate the results into a coherent module. ## Quick Start Use atomic-task-orchestration to break this cross-module feature into atomic subtasks and coordinate their execution and integration.
