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It actually only loads context when it's relevant to the task
context-managementperformancetechnical

What It Means

Claude Skills intelligently load only the contextual information needed for the specific task, avoiding information overload

Why It Matters

This solves the 'context rot' problem where too much information confuses AI and leads to poor outputs

When It's True

When working with complex business processes or large amounts of reference material where selective context loading improves performance

When It's Risky

When all available context is genuinely needed for the task or when the AI's judgment about relevance is poor

How to Apply

1

Structure reference materials into discrete, focused chunks

2

Let the skill determine what context to load rather than front-loading everything

3

Monitor output quality to ensure the right context is being retrieved

4

Create specific reference files for different aspects of the task

Example Scenario

A customer service skill only loads specific product documentation when customers ask about that product, rather than overwhelming the AI with the entire product catalog for every interaction

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