What are context snapshots?

Snapshots are intelligent backups of your current session that prioritize high-value information like requirements and decisions over low-value data like verbose debug logs.

What is the difference between Essential and Comprehensive rehydration?

Essential rehydration restores only core requirements and current state (~250 tokens), while Comprehensive restores the full decision history and tool metadata (~1,250 tokens).

How does predictive budget monitoring work?

It tracks your token 'burn rate' per tool use and estimates how many more operations you can perform before reaching 70%, 85%, or 95% of your context capacity.

What is context compaction in Claude Code?

Compaction is a reactive process where the model summarizes or removes history to fit within its token limit. This skill helps you proactively save essential information before that happens.

Can I integrate context health into my terminal status line?

Yes, the skill provides specific status indicators (e.g., [CTX:OK], [CTX:WARN]) that can be parsed from the state file and integrated into your terminal environment.

Context Management

Name: Context Management
Author: rysweet

byrysweet

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Analíticas y Monitorización

Optimizes Claude's context window through proactive token monitoring, intelligent snapshots, and selective rehydration.

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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.

Características Principales

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

Casos de Uso

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

Acerca de

Características Principales

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

Casos de Uso

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