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context-optimization

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<!-- AUTO-GENERATED by export-plugins.py — DO NOT EDIT -->
---
name: context-optimization
description: Context window optimization through compaction, masking, caching, and partitioning strategies. Use when context limits constrain task complexity, optimizing for cost reduction, reducing latency, or building long-running agent systems.
tags: [context, optimization, agents, llm]
---

# Context Optimization Techniques

Context optimization extends the effective capacity of limited context windows through strategic compression, masking, caching, and partitioning. The goal is not to magically increase context windows but to make better use of available capacity. Effective optimization can double or triple effective context capacity without requiring larger models or longer contexts.

## When to Activate

Activate this skill when:
- Context limits constrain task complexity
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