What problem does it solve? Delegating implementation work to a fast coding agent often fails silently: tasks race each other in the same directory, reports claim success without real verification, and merges land on the wrong branch. This Skill gives the orchestrating AI a disciplined, protocol-agnostic methodology for delegating work to an Executor agent without losing control of quality or state. ## Core Features & Use Cases - Six-phase delegation lifecycle: discovery-first exploration, worktree isolation, non-blocking parallel delegation, complexity-scaled monitoring, execution-based verification, and closure with defect telemetry. - Risk-calibrated monitoring and intervention: cross-check OS-level liveness against cost, tokens, and plan activity; cancel drifting tasks and resume corrective follow-ups in the same session. - Real verification and integration gates: never trust the Final Report alone - run builds, tests, and a full consuming-application build after every merge, and track task state as a path (delivered, verified, integrated) rather than a done/not-done label. - Use Case: You ask an AI to implement three independent features. The Skill guides the orchestrator to isolate each in its own git worktree, dispatch them in parallel with distinct ports, poll progress proactively, execute the results to verify, and merge with an explicit checkout of the target branch. ## Quick Start Ask the AI to orchestrate the implementation of a feature by delegating it to an Executor agent following the orchestration-methodology phases.
