Context Engineering Skill

Context Engineering is the process of curating and structuring the information provided to an LLM to optimize its performance. In the DeepAgents framework, this is achieved through the Filesystem-as-RAM pattern and advanced prompt orchestration.

1. The Golden Rule of Context

Information Density > Information Volume. An LLM with 2,000 tokens of perfectly pruned context will outperform an LLM with 128,000 tokens of "noisy" context.

2. Core Patterns

A. Selection & Pruning (The "Needle" Strategy)

Do not provide entire files if only a function is needed.

• Pattern: Use grep or sed tools to extract specific lines.
• DeepAgents Implementation: Use the FilesystemMiddleware to intercept read_file calls and suggest targeted reading.