dag-parallel-executor

This skill analyzes DAG execution history to identify successful workflow patterns and detect anti-patterns, providing optimization recommendations. Use it when prompted to "learn patterns" or "optimize based on history" to improve future DAG performance. It pairs with execution tracers and graph builders to apply learned insights.

This skill monitors iteration progress by tracking quality trends and detecting plateaus to recommend optimal stopping points. Use it when you need to determine when further iterations won't improve task outcomes. It pairs with other DAG skills like the iteration detector and feedback synthesizer for comprehensive workflow monitoring.

This skill validates DAG structures, detects cycles, and resolves dependency ordering using Kahn's algorithm for topological sorting. Use it when you need to compute an optimal execution sequence or verify a graph is acyclic after construction. It pairs with dag-graph-builder for validation and dag-task-scheduler for execution planning.

This skill traces complete execution paths in DAG workflows, recording node timing, inputs, outputs, and state transitions for debugging. Use it for execution tracing, path analysis, and logging when you need to understand workflow flow. It is specifically for execution path tracing, not for performance profiling or failure investigation.