Apply Azure Cosmos DB best practices for NoSQL data modeling, partitioning, query optimization, SDK usage, indexing, scaling, global distribution, monitoring, and vector search when writing, reviewing, or refactoring database-interacting code.
npx claudepluginhub azurecosmosdb/cosmosdb-agent-kitA collection of skills for AI coding agents working with Azure Cosmos DB. Skills are packaged instructions and scripts that extend agent capabilities.
Skills follow the Agent Skills format.
Azure Cosmos DB performance optimization guidelines containing 111 rules across 12 categories, prioritized by impact.
Use when:
Categories covered:
npx skills add AzureCosmosDB/cosmosdb-agent-kit
A project website is available in docs/ and is designed for GitHub Pages publishing.
docs/index.htmldocs/styles.cssdocs/app.jsThe website includes a feedback survey that opens a prefilled GitHub issue so users can share improvements for Agent Kit without requiring a backend service.
# Option 1: VS Code Live Server
# open docs/index.html with Live Server
# Option 2: Python static server
python -m http.server 8080 --directory docs
Then open http://localhost:8080.
In repository settings, set Pages source to Deploy from a branch, branch main, folder /docs.
Skills are automatically available once installed. The agent will use them when relevant tasks are detected.
Examples:
Review my Cosmos DB data model
Help me choose a partition key for my orders collection
Optimize this Cosmos DB query
Each skill contains:
SKILL.md - Instructions for the agent (triggers activation)AGENTS.md - Compiled rules (what agents read)rules/ - Individual rule filesmetadata.json - Version and metadataWorks with Claude Code, GitHub Copilot, Gemini CLI, and other Agent Skills-compatible tools.
See CONTRIBUTING.md for contribution guidelines.
See CHANGELOG.md for a dated history of updates to the agent kit, including the cosmosdb-best-practices skill and the testing framework. Each entry links to the PR that introduced the change.
When you merge a PR, add a new dated entry at the top of CHANGELOG.md.
MIT
Database plugin for nosql-data-modeler
Comprehensive T-SQL and SQL Server expertise for query optimization, performance tuning, and Azure SQL Database. PROACTIVELY activate for: (1) T-SQL query optimization and SARGability analysis, (2) SQL Server performance tuning, (3) Index design and strategy, (4) Execution plan analysis, (5) Parameter sniffing solutions, (6) Azure SQL Database optimization, (7) Window functions and advanced patterns, (8) Columnstore and In-Memory OLTP, (9) Query Store and IQP features. Includes: tsql-expert agent, 5 progressive disclosure skills, 3 optimization commands, diagnostic scripts.
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Share bugs, ideas, or general feedback.
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