What problem does it solve?
This Skill solves the problem of managing large-scale, complex software refactors or migrations that exceed the context window or cognitive capacity of a single AI agent. It prevents context degradation and ensures high-quality, verified outcomes through a structured, multi-agent delegation framework.
Core Features & Use Cases
- Orchestrator-Sub-agent Architecture: Decouples high-level planning from low-level implementation, ensuring the orchestrator maintains a clean, high-level view while sub-agents handle bounded, disposable tasks.
- Three-Review Barrier: Enforces rigorous, independent, and blind code reviews for every landing train, ensuring production-grade quality.
- Use Case: Use this when executing a multi-train migration, such as a large-scale framework upgrade or a complex architectural refactor, where you need to coordinate multiple implementers, reviewers, and verifiers autonomously.
Quick Start
Load the multi-agent-orchestration skill and provide the plan document to begin decomposing the work into landing trains and dispatching sub-agents.