knowledge-ops

To sync and deduplicate knowledge across memory layers, this skill applies cross-layer syncing and deduplication across local memory, MCP memory, vector stores, and durable repositories. It ensures information consistency and maintains a single source of truth across machines and workflows.

Semantic search with MCP memory and vector stores surfaces relevant context by ingesting documents, conversations, and notes into layered memory systems. It retrieves information across repo-owned code and docs to provide fast, context-aware access.

You ingest documents into a multi-layer memory system by organizing them across local memory, MCP memory, and durable stores. This skill handles the ingestion and lifecycle management to keep information accessible and consistent.

Yes, you can use this for managing team knowledge bases and archival repositories. It supports applying ingestion, organization, and retrieval across personal projects and team environments to maintain consistency and fast access.

The best way to maintain a single source of truth across machines is using a multi-layer memory model with cross-layer syncing. This skill organizes information across local memory, MCP memory, and vector stores to keep data consistent.

Vector stores are used for semantic search and retrieval, but the skill also operates across local memory, MCP memory, and durable repositories. You can ingest and organize information across these multiple storage layers to maintain accessibility.