context-engineering

SKILL.md

The discipline of curating the smallest high-signal token set that achieves desired outcomes.

Context engineering goes beyond prompt engineering. While prompts focus on what you ask, context engineering focuses on everything the model sees—system instructions, tool definitions, documents, message history, and tool outputs.

Key Insight: Context windows are constrained not by raw token capacity but by attention mechanics. As context grows, models experience degradation.

Use when designing agent system prompts, optimizing RAG retrieval, or when context is too expensive or slow. Reduces tokens while maintaining quality through strategic positioning and attention-aware design. Source: yonatangross/skillforge-claude-plugin.

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