What problem does it solve? Running multi-stage AI pipelines with dozens of parallel threads makes it hard to track which prompts were assembled, which outputs passed schema validation, when retries occurred, and whether stakeholders were notified. This Skill standardizes that orchestration layer so every stage produces a complete, auditable execution log. ## Core Features & Use Cases - Prompt Assembly & Dispatch: Builds stage-specific prompts from skill definitions, input context, and prior outputs, then dispatches them to task type agents with configured thread counts (e.g., 25 threads for P2, 16 threads across 6 passes for P6). - Schema Validation & Retry Control: Validates every output against the correct task type schema and enforces a strict maximum of one retry per failure, logging remediation details for each validation error. - Monitoring, Notification & Logging: Records timestamped execution events, delivers status notifications to configured recipients, and produces a completion summary with timing metrics in YAML conforming to the TT-28 output schema. - Use Case: While running pipeline P2, 24 of 25 synthesis outputs pass validation; the orchestrator retries the failed thread once, confirms the retry passes, notifies the QA team, and writes a full orchestration log. ## Quick Start Ask the AI to orchestrate pipeline stage P2 by assembling prompts, dispatching threads, validating outputs against the task type schema, and producing the TT-28 orchestration log.
