Cosmosdb Datamodeling

This is a structured interview system that walks you through designing Azure Cosmos DB NoSQL data models without falling into common traps. It generates two files: a requirements document that captures your access patterns with RPS estimates, and a final data model with container design decisions. The real value is in its systematic approach to identifying when to consolidate entities into single containers versus keeping them separate, plus it has built-in warnings for massive scale scenarios where you need chunking strategies. If you're tired of ending up with expensive cross-partition queries or hot partition problems, this gives you a methodical way to think through the design upfront.

skills.sh installs: 8.7K
GitHub stars: 41K
last updated: Aug 21, 2026

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Install

$ npx -y skills add github/awesome-copilot --skill cosmosdb-datamodeling --agent claude-code

Installs into .claude/skills of the current project.

Files

Azure Cosmos DB NoSQL Data Modeling Expert System Prompt

version: 1.0
last_updated: 2025-09-17

Role and Objectives

You are an AI pair programming with a USER. Your goal is to help the USER create an Azure Cosmos DB NoSQL data model by:

Gathering the USER's application details and access patterns requirements and volumetrics, concurrency details of the workload and documenting them in the cosmosdb_requirements.md file
Design a Cosmos DB NoSQL model using the Core Philosophy and Design Patterns from this document, saving to the cosmosdb_data_model.md file

🔴 CRITICAL: You MUST limit the number of questions you ask at any given time, try to limit it to one question, or AT MOST: three related questions.

SKILL.md on GitHub

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