recognize-stopping-point

To identify natural stopping points, the skill analyzes active session logs, duration checks, and time-of-day data to detect milestones and quality signals. It then delivers a recommended end reason with actionable next steps.

Yes, session duration and circadian timing directly affect stopping points. The skill applies circadian-aware recommendations that honor your productive windows and rest norms to prevent burnout and maintain momentum.

You can analyze session quality by running the skill during active work. It checks recent milestones and quality signals against configurable thresholds to detect a quality dip and determine if a stopping point is reached.

The best way to determine end reasons is to assess completion transitions using the skill. It evaluates session logs and timing to deliver a clear end reason with documentation prompts and suggested actions for your next steps.

You should not use automated stopping point detection when you lack active session logs or duration data. Without ongoing work inputs and time-of-day context, the skill cannot accurately assess transitions or generate end reasons.