jelly-taskmaster-parallel

Parallel execution of dependent tasks requires analyzing task dependencies and batching them by execution level. This Skill reads your tasks.json, builds a dependency graph, applies topological sorting to identify safe parallel batches, and spawns Sub Agents to run each batch concurrently while respecting dependency constraints.

Cycle detection is performed during dependency graph construction before execution begins. This Skill automatically identifies circular dependencies that would deadlock parallel execution, preventing invalid task orchestration and ensuring acyclic graph structure required for topological sorting.

Yes, this Skill supports configurable batchSize and gapSize parameters to control task grouping and execution pacing. You can adjust parallelization intensity, stagger execution across batches, and apply priority-aware scheduling and range-based filtering to customize execution flow.

Topological sorting computes execution levels from your dependency graph, grouping tasks that share no dependencies into the same level. This Skill batches level-based groups and executes them sequentially while allowing full parallelization within each level, ensuring all upstream tasks complete before downstream tasks start.

Task statuses are automatically updated as Sub Agents start and complete execution. This Skill maintains synchronized state across your tasks.json, reflecting real-time progress through the dependency graph so you can track completion and diagnose failures across parallel batches.

Yes, this Skill applies status, priority, and ID filters before generating execution plans. Filtered task sets still respect dependency relationships, so you can selectively re-run subsets, prioritize high-value work, or resume interrupted executions while maintaining safe parallelization.