lazy-batch

What problem does it solve?

This Skill automates the end-to-end orchestration of queue-driven feature pipelines by looping on lazy-state.py, spawning one Opus subagent per cycle, and driving the full tail from spec to completion. It centralizes coordination while keeping source code edits to sentinel and gate files, ensuring repeatable progress through the pipeline.

Core Features & Use Cases

• Autonomous per-cycle orchestration of a feature pipeline by looping on lazy-state.py and spawning an Opus subagent per cycle.
• Enforces MCP audit and completion-integrity gates to ensure safe progress to mark_complete.
• Supports ad-hoc enqueue, park mode, and max-cycles based halts for controlled execution.

Quick Start

Start the orchestrator by running lazy-batch with a numeric max-cycles input to begin cycling through the feature pipeline.