Does it provide guidance on securing Cosmos DB?

Absolutely. It covers identity-based access (RBAC), network security via VNet and Private Link, and data encryption using Customer-Managed Keys (CMK).

Can this skill help resolve 429 'Request Rate Too Large' errors?

Yes, it provides specific troubleshooting steps and architectural best practices for managing throughput, autoscale settings, and client-side retry logic to mitigate rate limiting.

Is there support for AI and vector search workloads?

Yes, the skill includes patterns for implementing vector search, memory for AI agents, and semantic caching within Azure Cosmos DB.

How does this skill provide up-to-date information?

It utilizes network-enabled MCP tools to fetch the latest documentation directly from Microsoft Learn, ensuring guidance aligns with current Azure features and limits.

Which Azure Cosmos DB APIs are supported by this skill?

The skill supports the NoSQL, MongoDB, Cassandra, PostgreSQL, and Gremlin APIs, as well as legacy DocumentDB configurations.

Azure Cosmos DB Development

Name: Azure Cosmos DB Development
Author: atc-net

byatc-net

•

データベース管理

Provides expert guidance for Azure Cosmos DB development, including architecture design, performance tuning, and troubleshooting across all APIs.

This skill equips developers and AI agents with specialized knowledge for building and managing Azure Cosmos DB instances across NoSQL, MongoDB, Cassandra, and PostgreSQL APIs. It offers deep insights into troubleshooting common errors like 429 rate limiting and 404 not found exceptions, while providing best practices for Request Unit (RU) optimization, partitioning strategies, and high-availability design. Whether you are implementing vector search for AI agents, configuring global distribution, or securing your database via RBAC and Private Link, this skill delivers actionable patterns and real-time documentation retrieval to accelerate cloud-native database development.

主な機能

01Performance optimization guidance for partitioning, indexing, and RU management.

021 GitHub stars

03Comprehensive troubleshooting for HTTP 4xx/5xx errors and SDK-specific exceptions.

04Expert assistance for Change Feed, Vector Search, and AI/LLM integration patterns.

05Security configuration support for RBAC, CMK encryption, and network isolation.

06Architectural patterns for multi-tenancy, global distribution, and HTAP workloads.

ユースケース

01Optimizing database performance and reducing costs by fine-tuning RUs and indexing policies.

02Architecting globally distributed, highly available applications with appropriate consistency levels.

03Implementing vector search and semantic caching for modern AI and LLM-powered applications.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add atc-net/atc-agentic-toolkit azure-cosmos-db

For use in Claude.ai and ChatGPT

主な機能

01Performance optimization guidance for partitioning, indexing, and RU management.

021 GitHub stars

03Comprehensive troubleshooting for HTTP 4xx/5xx errors and SDK-specific exceptions.

04Expert assistance for Change Feed, Vector Search, and AI/LLM integration patterns.

05Security configuration support for RBAC, CMK encryption, and network isolation.

06Architectural patterns for multi-tenancy, global distribution, and HTAP workloads.

ユースケース

01Optimizing database performance and reducing costs by fine-tuning RUs and indexing policies.

02Architecting globally distributed, highly available applications with appropriate consistency levels.

03Implementing vector search and semantic caching for modern AI and LLM-powered applications.