context-engineer

What problem does it solve?

This Skill prevents your AI's context window from becoming bloated and inefficient, ensuring it stays focused on the most relevant information and operates within token limits.

Core Features & Use Cases

• Token Budget Management: Allocate and track token usage across different context categories (System, Task, Reference, History).
• Relevance Scoring: Dynamically scores context items based on recency, frequency, task alignment, and dependencies.
• Auto-Pruning: Intelligently removes low-scoring or less relevant context to free up space.
• Use Case: When working on a complex coding task involving multiple files and a long conversation history, this Skill ensures the AI prioritizes the code you're actively editing and the most recent instructions, while archiving older, less relevant chat logs.

Quick Start

Use the context-engineer skill to optimize the current context and prune items with low relevance scores.