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cosmosdb-agent-kit

AAzureCosmosDB
0.0k
azurecosmosdb/cosmosdb-agent-kit
78
Agent Score

💡 Summary

A collection of skills for AI agents to optimize and manage Azure Cosmos DB interactions.

🎯 Target Audience

Software DevelopersData EngineersDatabase AdministratorsCloud ArchitectsTechnical Team Leads

🤖 AI Roast:Powerful, but the setup might scare off the impatient.

Security AnalysisMedium Risk

Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress). Run with least privilege and audit before enabling in production.

cosmosdb-agent-kit

A 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.

Available Skills

cosmosdb-best-practices

Azure Cosmos DB performance optimization guidelines containing 45+ rules across 8 categories, prioritized by impact.

Use when:

  • Writing new code that interacts with Cosmos DB
  • Designing data models or choosing partition keys
  • Reviewing code for performance issues
  • Optimizing queries or throughput configuration

Categories covered:

  • Data Modeling (Critical)
  • Partition Key Design (Critical)
  • Query Optimization (High)
  • SDK Best Practices (High)
  • Indexing Strategies (Medium-High)
  • Throughput & Scaling (Medium)
  • Global Distribution (Medium)
  • Monitoring & Diagnostics (Low-Medium)

Installation

npx add-skill AzureCosmosDB/cosmosdb-agent-kit

Usage

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

Skill Structure

Each skill contains:

  • SKILL.md - Instructions for the agent (triggers activation)
  • AGENTS.md - Compiled rules (what agents read)
  • rules/ - Individual rule files
  • metadata.json - Version and metadata

Compatibility

Works with Claude Code, GitHub Copilot, Gemini CLI, and other Agent Skills-compatible tools.

Contributing

See CONTRIBUTING.md for contribution guidelines.

License

MIT

5-Dim Analysis
Clarity8/10
Novelty7/10
Utility9/10
Completeness7/10
Maintainability8/10
Pros & Cons

Pros

  • Comprehensive performance optimization guidelines.
  • Supports multiple AI coding agents.
  • Structured for easy integration.

Cons

  • Limited to Azure Cosmos DB.
  • Requires familiarity with AI agents.
  • Installation may require additional setup.

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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author AzureCosmosDB.