des-learning-status-update

Track data engineering learning progress by scanning learning notes, quizzes, gap reports, and coaching evidence to generate an evidence-backed learning status file. This prevents progress from getting out of sync with actual knowledge improvements across learning phases.

Evidence-based learning status mapping assigns readiness states by scanning phase artifacts like notes and gap reports. It prevents falsely claiming completion by requiring concrete proof of knowledge improvement before updating the workflow router on next actions.

Update learning status records by scanning gap diagnosis reports and coaching evidence to gate phase readiness. The process applies defined learning states to ensure the workflow router receives an evidence-based decision on recommended next learning actions.

Learning status tracking enforces HALT conditions when SOUL.md or the knowledge map is missing because these artifacts provide the foundational context required for evidence-backed status mapping. Without them, the system cannot safely verify quiz readiness or assign accurate learning states.

Yes, you can use phase artifacts to determine quiz readiness by scanning notes, quizzes, and coaching evidence. The process produces a learning status file containing readiness fields and a guided next-step handoff recommending the most appropriate DES skill.

The best way to prevent learning progress sync issues is to run an evidence-driven tracking process that scans coaching sessions and workflow status. This builds an accurate learning status file, ensuring phase completion claims match verified coaching artifacts.