phase-5-execute

Sequential task execution automates end-to-end phase processing by driving a deterministic loop that reads TASK-*.json files and executes their defined steps in order. You invoke the entry point with a plan_id to initiate the execution loop.

Task execution handles logging at task and phase levels while supporting Git commit strategies and triage. It interfaces with downstream Git and PR workflows to manage deliverables and track progress across multiple tasks.

A deterministic execution loop for workflow automation locates the current task, executes its steps, updates progress, and advances to the next task. It eliminates manual bottlenecks by reading JSON task files and running defined steps sequentially.

Python-based scripting pipelines are required for task management workflows in this context. The execution loop satisfies functional requirements for frontmatter-driven metadata, Python-based scripting, task-step finalization, and Git integration.

Task execution integrates with manage-tasks and manage-logging workflows to provide rich observability. It supports task and phase level logging, progress tracking, and triage capabilities when issues arise during step execution.

Automating phase transitions across multiple tasks relies on properly structured TASK-*.json files and frontmatter-driven metadata. Execution requires valid plan_id input and depends on compatible Git and PR workflow configurations for successful downstream integration.