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The manage-logging skill offers a centralized infrastructure to track the progress and execution of AI-driven coding tasks. By separating technical script-level logs—such as execution status, errors, and timing—from semantic work logs—which capture decisions, artifacts, and milestones—it enables superior observability for complex AI workflows. Built as a core component of the Plan Marshall orchestration layer, this skill ensures that every action taken by an AI agent is auditable, searchable, and organized by plan or date, making debugging and progress tracking significantly more reliable.
