Optimizes Claude's context window through proactive token monitoring, intelligent snapshots, and selective rehydration.
概要
The Context Management skill prevents the loss of critical project information during long coding sessions by monitoring token usage and creating intelligent checkpoints before the model reaches its context limit. It features predictive budget monitoring to forecast when thresholds will be hit and uses priority-based retention to ensure that core requirements and architectural decisions are preserved while discarding verbose logs or intermediate steps. This proactive approach allows developers to maintain high productivity without worrying about the AI 'forgetting' essential task details during conversation compaction.
主な機能
Predictive budget monitoring to forecast when token thresholds will be reached
Intelligent context snapshots with priority-based data retention
Visual context health indicators for real-time session status tracking
Burn rate tracking to monitor token consumption velocity across tool uses
Multi-level rehydration including essential, standard, and comprehensive detail modes
16 GitHub stars
ユースケース
Preserving key architectural decisions and requirements during long, complex coding tasks
Recovering essential context after model-initiated conversation compaction occurs
Packaging and saving session state for team handoffs or resuming work later
