Skill UI

Expert guidance for designing distributed NoSQL databases like Cassandra and DynamoDB. Covers query-first modeling, partition key selection, single-table design, denormalization, and avoiding hot partitions in high-scale systems.

Automates Notion pages, databases, blocks, comments, and users through Composio’s Notion toolkit via Rube MCP, guiding connection setup, tool sequencing, and schema-aware workflows for operations.

This skill provides a comprehensive guide for backing up and restoring Odoo instances, covering PostgreSQL databases and filestores. It includes automation scripts, cloud storage integration, and step-by-step recovery procedures to ensure data safety and business continuity.

Operate MySQL-compatible databases on PlanetScale with branching workflows, safe migrations, and production rollouts. Covers CLI installation, database management, deploy requests, connection proxying, Prisma integration, and Vitess features.

Execute safe read-only SQL queries against PostgreSQL databases with multi-connection support and defense-in-depth write protection. Ideal for schema exploration, data retrieval, and analysis without risking accidental writes.

Administer, optimize, and secure PostgreSQL databases in development and production environments. Covers installation, configuration tuning, backups, streaming replication, and security best practices.

Expert in building Retrieval-Augmented Generation systems for LLM applications. Masters embedding models, vector databases, chunking strategies, and retrieval optimization. Capable of designing retrieval pipelines, implementing hybrid search, and optimizing context windows to ensure high-quality generation from retrieved documents.

This comprehensive workflow guides the end-to-end implementation of Retrieval-Augmented Generation (RAG) systems. It covers critical stages, including selecting optimal embedding models, setting up vector databases, designing chunking strategies, implementing hybrid retrieval, integrating Large Language Models (LLMs), and performing rigorous evaluation. Use this when building knowledge-grounded AI applications or advanced semantic search systems.

Build and operate Retrieval-Augmented Generation (RAG) systems using vector stores, embedding pipelines, and hybrid search. This skill covers ingesting documents, generating embeddings, storing in vector databases, and serving grounded LLM responses. It includes setting up embedding pipelines, vector store infrastructure, and deploying hybrid search (dense + sparse) to reduce hallucinations and improve semantic search over large document collections.

This guide provides comprehensive patterns for designing and implementing secure multi-tenant SaaS applications using shared databases. It covers critical techniques like Row-Level Security (RLS) in PostgreSQL, implementing tenant-aware middleware in TypeScript (Express/Fastify), and enforcing data scoping at the ORM level (Prisma/Drizzle). Learn how to prevent data leakage and manage tenant isolation across shared schemas.

Reference document for monopoly scale-benchmarks. Provides quick formulas for converting DAU to RPS, storage and bandwidth estimation, known scale limits of common technologies (databases, queues, caching), capacity planning by user scale (1K to 10M DAU), SLO targets, and latency budget guidelines. Useful for system design, capacity planning, and architecture decisions.

A comprehensive reference guide for selecting core infrastructure technologies including databases, caching, message queues, and API protocols. Helps architects and developers make informed decisions based on scale, consistency, and specific use cases to optimize system design.