Decomposes design specifications into parallelizable task waves using file-level dependency analysis.
The Parallel Task Planner is a sophisticated orchestration skill designed to transform high-level implementation plans into actionable, parallelized task sequences. By analyzing file-level dependencies and import relationships, it groups coding tasks into execution 'Waves,' ensuring that tasks without overlapping file edits are scheduled simultaneously to maximize development efficiency. It automatically generates organized directory structures, Mermaid dependency diagrams, and comprehensive TODO files, serving as a critical bridge between the planning phase and the multi-agent execution phase of large-scale software projects.
Key Features
01Automated task decomposition based on directory boundaries and architectural layers
02Structured directory-based TODO output compatible with agentic workflows
03Smart dependency mapping via file-level conflict detection and import analysis
0432 GitHub stars
05Parallel execution 'Wave' grouping to maximize development throughput
06Dynamic Mermaid graph generation for visual dependency tracking
Use Cases
01Visualizing task dependencies and critical paths for team-based implementation cycles
02Decomposing complex monolithic designs into independent modules for parallel development
03Optimizing multi-agent coding workflows by identifying non-conflicting file edits
