ctx-next

Task prioritization analyzes your TASKS.md and recent session history to output 1-3 concrete next actions. It evaluates explicit priorities, blockers, in-progress work, momentum, and phase ordering to help you decide what to work on next without context switching.

To reduce context switching in multi-task projects, analyze current tasks and recent sessions to surface 1-3 actionable recommendations. Evaluating momentum and phase ordering maintains workflow coherence by providing clear, immediate next steps with rationale.

AI planning for task prioritization applies at session start, after task completion, or when priorities are unclear. It evaluates explicit priorities and blockers to output actionable recommendations, helping maintain momentum whenever your workflow direction is uncertain.

Yes, analyzing in-progress work with unresolved blockers generates concrete next actions. The context analysis evaluates blockers alongside explicit priorities and momentum to recommend the best path forward, ensuring workflow coherence despite impediments.

Task prioritization works without explicit priorities by evaluating recent session momentum, in-progress items, and phase ordering. It analyzes available context from tasks and sessions to recommend next steps, though explicit priorities improve recommendation accuracy.

Context analysis recommends 1-3 next actions to provide flexibility while maintaining focus. Evaluating explicit priorities, blockers, and phase ordering outputs a small set of actionable recommendations with rationale, reducing context switching without over-constraining workflow choices.