speckit-diagram-dependencies

To visualize task dependencies as a Mermaid diagram, you need a valid spec-kit project structure with a .specify directory. The tool parses your tasks.md file to generate a GitHub-renderable directed acyclic graph showing execution order and bottlenecks.

Yes, you can automatically group parallelizable tasks into execution waves. The tool computes execution waves by validating that the dependency graph is acyclic, grouping tasks based on which dependencies are already satisfied for parallel execution.

Critical path detection for feature planning works by identifying the longest dependency chain in your task list. This highlights the minimum-completion bottleneck, allowing you to estimate which work items must be finished first to keep the project on schedule.

Yes, the generated dependency graph shows completion status. It provides status-aware visualization that colors nodes based on whether tasks are marked completed or pending in your tasks.md file, making current progress immediately visible.

The best way to identify blocking tasks and execution bottlenecks is generating a dependency-aware Mermaid DAG. This turns your text-based tasks list into a clear execution plan that maps task dependencies, making what blocks what visible.

Yes, you need a valid spec-kit project structure with a .specify directory. This environment is required to parse task IDs, priorities, phases, dependency declarations, and completion status from your tasks.md file into a valid graph.