task-execution

Automate phased task execution by using Python scripts to read task files, validate prerequisites, run the next pending phase, and update status tracking. It processes Task-XXX markdown files and maintains incremental progress logging.

Executing complex workflows one phase at a time requires validating prerequisites and updating status before moving forward. This approach processes pending phases sequentially, runs optional tests, and renders a completion report for each phase.

Prerequisite validation during phase-by-phase task execution ensures dependencies are met before running the next pending phase. The Python scripts read the task state, check requirements, and halt execution if prerequisites are not satisfied.

Yes, you can use Python scripts to update task status and run tests for markdown task files. The scripts read and update task state, perform tests when present, and mark phases as in-progress or completed to track progress.

To start processing Task-XXX files in the _tasks directory, inspect the task file using a Python status reader script, then execute the next pending phase and mark its status as in-progress or completed upon finishing deliverables.

Limitations of automating task execution with status tracking scripts include dependency on properly formatted markdown task files and the presence of Python scripts in the scripts directory to read, validate, and update task state.