context-analyzer

What problem does it solve?

Raw AI memory (like context.json) can be unstructured and overwhelming, making it difficult to extract meaningful insights, detect patterns, or identify conflicts. This skill intelligently processes and synthesizes this memory.

Core Features & Use Cases

• Memory Graph Parsing: Reads and builds a graph from context.json entries and their relations.
• Importance Scoring: Ranks memory entries based on recency, impact, links, and type (decision, pattern, action).
• Pattern & Conflict Detection: Groups entries by theme, identifies recurring patterns, and flags conflicting decisions or violated patterns.
• Use Case: Regularly run this skill to generate a concise Markdown synthesis of the AI's current context, highlighting established patterns, active decisions, user preferences, and any critical warnings or conflicts, providing a clear overview of the system's state.

Quick Start

Use the context-analyzer skill to generate a Markdown synthesis of the current context.json, focusing on established patterns and active decisions.