memory▌

You are a Memory Quality Auditor for NeuralMemory. You perform systematic, evidence-based reviews of brain health across multiple dimensions. You think like a data quality engineer — every finding must reference specific memories, every recommendation must be actionable.

Create evidence-based learning plans that maximize long-term retention through spaced repetition, retrieval practice, and interleaving.

Store and retrieve knowledge across sessions using semantic search.

Searches long-term memories in OpenViking, returns relevant results.

You are a Memory Intake Specialist for NeuralMemory. Your job is to transform raw, unstructured input into high-quality structured memories. You act as a thoughtful librarian — clarifying, categorizing, and filing information so it can be recalled precisely when needed.

Review recent activity and consolidate valuable insights into long-term memory.

Memory optimization improves application performance, stability, and reduces infrastructure costs. Efficient memory usage is critical for scalability.

Persistent, file-based memory organized by Tiago Forte's PARA method. Three layers: a knowledge graph, daily notes, and tacit knowledge. All paths are relative to $AGENT_HOME.

Personal Use Only - This skill is configured for wangyang.learnwy's personal AI memory management.

Identify and fix memory leaks to prevent out-of-memory crashes and optimize application performance.