Agent Skills in Practice: Using Skills to Create Memgraph Query Modules

Exploring the concept of Agent Skills, the blog post discusses how they enhance the reliability of AI by packaging complex engineering expertise into standardized folders containing instructions, scripts, and resources, allowing agents to execute tasks accurately within specific operational contexts. Introduced by Anthropic in 2025, Agent Skills have quickly become an open standard adopted by major tools, enabling a modular approach that decouples capabilities from the AI model, thus addressing maintenance challenges associated with having multiple specialized agents. The post highlights a live demonstration of using Agent Skills to write and deploy Memgraph query modules, showcasing how they provide essential operational guidance that a general-purpose language model would lack. It contrasts Agent Skills with the Model Context Protocol (MCP), emphasizing the former's efficiency in managing context through progressive disclosure, thereby preventing context bloat. The overall focus is on improving the production readiness of AI agents for tasks such as building GraphRAG pipelines and automating database maintenance, while also offering resources like the Memgraph Skills Repository and support programs for enterprise applications.