cosmosdb-best-practices

cosmosdb-best-practices is a Databases & SQL skill for AI agents, published by AzureCosmosDB in the cosmosdb-agent-kit repository on GitHub. Skillspace rates cosmosdb-best-practices D (65/100) and it passed the safety scan; the rating is based on static analysis only.

Azure Cosmos DB performance optimization and best practices guidelines for NoSQL, partitioning, queries, and SDK usage. Use when writing, reviewing, or refactoring code that interacts with Azure Cosmos DB, designing data models, optimizing queries, or implementing high-performance database operations. USE FOR: Cosmos DB NoSQL, partition key design, RU optimization, point reads, cross-partition queries, SDK singleton, CosmosClient, container modeling, change feed, bulk operations, vector search, full-text search, hierarchical partition keys, global distribution, autoscale throughput, indexing policy. DO NOT USE FOR: PostgreSQL, MySQL, MongoDB (non-Azure), DynamoDB, Cassandra, Azure SQL, Cosmos DB for PostgreSQL (vCore), Cosmos DB for MongoDB vCore, Azure DocumentDB, general SQL databases, Redis, Elasticsearch.

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
47

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
78 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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