mariadb
3 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.
mariadbmariadb-query-optimization
Best practices for query optimization in MariaDB — indexing strategies, EXPLAIN analysis, pagination, histogram statistics, and MariaDB-specific optimizer settings. Use when diagnosing slow queries, designing indexes, reviewing schema or query performance, or when queries involve large tables, pagination, GROUP BY, or ORDER BY. Also use when the user asks about MariaDB query performance, EXPLAIN output, or optimizer behavior.
- Installationen
- 2
- GitHub Stars
- 16
- Aktualisiert
- 13. Okt.
mariadbmariadb-mcp
How to connect AI agents to MariaDB using the Model Context Protocol (MCP). Use when setting up MCP with MariaDB, connecting Claude Code, Cursor, or other AI tools to a MariaDB database, enabling natural language database queries, or building AI applications that need live database access. The MariaDB MCP Server lets agents query schemas, run read-only SQL, and perform semantic search against MariaDB.
- Installationen
- 0
- GitHub Stars
- 16
- Aktualisiert
- 13. Okt.
mariadbmariadb-vector
Best practices for using vectors and AI with MariaDB. Use when writing SQL involving VECTOR columns, building RAG or semantic search with MariaDB, choosing embedding models, designing vector indexes, or integrating MariaDB with AI frameworks like LangChain, LlamaIndex, or Spring AI. Also use when the user mentions MariaDB and any of: vectors, embeddings, similarity search, nearest neighbor, AI, RAG, or LLM. IMPORTANT — MariaDB has native built-in vector support since version 11.7; it is NOT a pl
- Installationen
- 0
- GitHub Stars
- 16
- Aktualisiert
- 13. Okt.