Agent Skills, Explained An Open Standard Meets Graph Engineering in Memgraph

Agents are only as good as the skills and tools we give them. In this community call, we'll dive into Memgraph Skills for agents and humans, a practical approach to packaging graph expertise as reusable, composable skills. Initially developed by Antropic, but currently available as an open standard: https://agentskills.io/home We'll show how the skills can power autonomous agents and guide engineers in accomplishing tasks with Memgraph, such as writing a query module in Rust, Python, and C++, or even developing a GraphRAG pipeline. About Memgraph: Memgraph offers a light and powerful graph platform comprising the Memgraph Graph Database, MAGE Library, and Memgraph Lab Visualization. Memgraph is a dynamic, lightweight graph database optimized for analyzing data, relationships, and dependencies quickly and efficiently. It comes with a rich suite of pre-built deep path traversal algorithms and a library of traditional, dynamic, and ML algorithms tailored for advanced graph analysis, making Memgraph an excellent choice in critical decision-making scenarios such as risk assessment (fraud detection, cybersecurity threat analysis, & criminal risk assessment), 360-degree data and network exploration [Identity and Access Management (IAM), Master Data Management (MDM), & Bill of Materials (BOM)], and logistics and network optimization. Website: https://www.memgraph.com Twitter: https://www.twitter.com/memgraphdb LinkedIn: https://www.linkedin.com/company/memgraph Facebook: https://www.facebook.com/memgraph