executing-plans

Batch execution loads a complete implementation plan with metadata and complexity metrics, then runs tasks in phases with mandatory validation gates between each batch. This ensures controlled progression, progress tracking, and review points before advancing to the next phase.

Tiered validation gates enforce quality checks between batches, applying Shannon-based complexity analysis to verify task readiness. These checkpoints halt progression until explicit readiness signaling confirms each batch meets acceptance criteria before proceeding.

Yes. Batch execution supports plans with MCP requirements, Shannon complexity metrics, and explicit memory logging. The Skill handles tiered verification and logs memory state throughout execution to track batch performance and resource consumption.

Shannon metrics provide quantitative review of plan complexity before and during execution. This analysis informs batch sizing decisions, identifies bottlenecks, and ensures each batch's complexity stays within manageable thresholds for reliable execution and testing.

Validation failures halt progression at the checkpoint and flag issues for review. The handoff and review points between batches provide explicit opportunities to address failures, adjust the plan, or escalate blockers before attempting the next batch.