context-pack

What problem does it solve?

This Skill addresses the challenge of efficiently managing and prioritizing information provided to an AI, ensuring the most relevant context is used within token limits.

Core Features & Use Cases

• Prioritized Context Packing: Intelligently selects and orders context items, favoring critical decisions and invariants over general conversation history.
• Token Budget Allocation: Manages context size by fitting essential information within the AI's token constraints.
• Conflict Detection: Identifies and flags contradictory information within the retrieved context.
• Traceability: Attaches reasons for inclusion, confidence scores, and recency data for each packed item, enabling better debugging and replay.
• Use Case: When an AI needs to make a complex decision, this skill ensures it has access to the most crucial prior decisions and system invariants, rather than being overwhelmed by lengthy chat logs.

Quick Start

Pack the retrieved items into the available token budget, prioritizing decisions and invariants.