improve

Automating action item implementation involves scanning knowledge bases, retrospectives, and learning logs to extract pending tasks. This skill prioritizes items by source, guides user selection, and executes tasks with atomic commits and automatic source file updates.

Tracking pending improvements from learning logs requires extracting and prioritizing action items alongside knowledge bases and retrospective entries. This skill systematically captures these tasks, presents them for user-guided execution, and updates file status with changelog entries upon completion.

Yes, automated changelog entries in source files are supported. After implementing selected action items, the workflow automatically marks completed tasks and appends changelog entries directly to the relevant source files for systematic knowledge base maintenance.

Prioritizing action items from multiple knowledge sources follows a defined order of importance: knowledge base articles first, then retrospectives, and finally learning logs. This ensures systematic task management by scanning higher-priority sources before presenting actionable items for execution.

Yes, you can use this task management workflow for retrospective follow-ups by scanning logs in directories like docs/retrospective/. It extracts pending action items, helps implement the chosen tasks, and updates the completion status directly in the retrospective file.

Completed action items are handled by automatically marking their status and adding changelog entries to source files. This ensures that documentation across knowledge bases, retrospectives, and learning logs remains accurate and systematically maintained after execution.