context-optimization - Optimize AI Agent Context with Compression, Masking, Caching
Extend effective context capacity through compression, masking, caching, and partitioning techniques
Tags
Updated: 2026-02-23Capabilities
Typical Inputs
Typical Outputs
What this skill does
- compact message history
- mask tool observations
- optimize KV-cache
- partition context
- monitor token usage
- generate summaries
- store observations
Inputs
- agent context
- tool outputs
- message history
- document content
- KV-cache data
Outputs
- compressed context
- masked observations
- optimized cache
- partitioned sub-contexts
- token usage reports
Requirements
- context length approaching limits
- token utilization monitoring
- KV-cache enabled environment
- observation storage mechanism