Context Optimization Pro

About

The Context Optimization skill provides a suite of advanced strategies to extend the effective context window of Claude by 2-3x without requiring larger models. By implementing intelligent compaction, observation masking for tool outputs, KV-cache optimization for stable prefixes, and sub-agent partitioning, this skill helps developers manage token budgets, reduce latency, and maintain high performance during complex, long-running tasks. It is essential for workflows where verbose tool outputs or long conversation histories threaten to exceed model limits or inflate operational costs.

Key Features

• Observation masking to elide verbose tool outputs and focus on key results
• Automated context budget management with utilization monitoring and triggers
• KV-Cache optimization strategies to maximize cache hits and reduce latency
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• Intelligent context compaction to reduce history size by 50-70%
• Context partitioning for distributing complex tasks across sub-agents

Use Cases

• Managing massive tool outputs and logs that exceed model context limits
• Reducing high token costs in long-running autonomous agent sessions
• Maintaining model reasoning quality in complex multi-step development tasks