cosmosdb

Plugin cosmosdb from marketplace atc-agentic-toolkit in atc-net/atc-agentic-toolkit. Commands read from the repo's manifest — 2 days ago.

Skills (14)

• cosmosdb-data-modeling-workflow

  Step-by-step guide for designing Azure Cosmos DB NoSQL data models. Captures application requirements, access patterns, volumetrics, and concurrency details into a cosmosdb_requirements.md file, then produces an optimized Cosmos DB NoSQL data model design using best practices and common patterns, sa

• cosmosdb-data-modeling

  Azure Cosmos DB data modeling best practices: embedding vs referencing, document size limits, schema versioning, type discriminators, JSON serialization, denormalization, and relationship patterns. USE FOR: Cosmos DB document design, embedding related data, referencing large data, 2MB item limit, ne

• cosmosdb-design-patterns

  Azure Cosmos DB design patterns: change feed materialized views, efficient ranking, service layer relationship hydration, LangGraph multi-agent orchestration, human-in-the-loop interrupts, checkpoint resumption, agent routing, FastAPI startup, chat history separation, background task writes, async C

• cosmosdb-full-text-search

  Azure Cosmos DB full-text search best practices: enabling the capability flag, defining fullTextPolicy, configuring fullTextIndexes, keyword matching with FullTextContains functions, BM25 relevance ranking, and hybrid queries. USE FOR: Cosmos DB full-text search, FTS, EnableNoSQLFullTextSearch, full

• cosmosdb-global-distribution

  Azure Cosmos DB global distribution best practices: multi-region writes, consistency levels, conflict resolution, automatic failover, read regions, and zone redundancy for high availability. USE FOR: Cosmos DB multi-region, consistency levels, strong consistency, bounded staleness, session consisten

• cosmosdb-indexing

  Azure Cosmos DB indexing strategy best practices: excluding unused paths, composite indexes for ORDER BY, spatial indexes, index types, path syntax, and indexing modes (consistent vs lazy). USE FOR: Cosmos DB indexing policy, exclude paths, composite index, spatial index, index path syntax /? /* /[]

• cosmosdb-monitoring

  Azure Cosmos DB monitoring and diagnostics best practices: RU consumption tracking, P99 latency monitoring, throttling alerts, Azure Monitor integration, and diagnostic logging. USE FOR: Cosmos DB monitoring, RU consumption, request units tracking, P99 latency, throttling alerts, 429 monitoring, Azu

• cosmosdb-partition-key

  Azure Cosmos DB partition key design best practices: high cardinality, hotspot avoidance, hierarchical partition keys, synthetic keys, query pattern alignment, immutability, and logical partition size limits. USE FOR: Cosmos DB partition key choice, high cardinality, avoid hot partitions, hierarchic

• cosmosdb-query-optimization

  Azure Cosmos DB query optimization best practices: point reads, projections, pagination with continuation tokens, parameterized queries, filter ordering, cross-partition query avoidance, and analytical query detection. USE FOR: Cosmos DB queries, point reads vs queries, SELECT projections, continuat

• cosmosdb-sdk

  Azure Cosmos DB SDK best practices for .NET, Java, Python, Spring Boot, and LangChain: singleton client, async APIs, connection modes, retry handling, diagnostics, serialization, emulator configuration, ETags, and framework-specific patterns. USE FOR: CosmosClient singleton, async API, Direct vs Gat

• cosmosdb-security

  Azure Cosmos DB security best practices: disabling local authentication (keys), managed identity with DefaultAzureCredential, network access restrictions, RBAC least privilege, and continuous backup for point-in-time restore. USE FOR: Cosmos DB security, disable local auth, disable keys, managed ide

• cosmosdb-throughput

  Azure Cosmos DB throughput and scaling best practices: autoscale for variable workloads, right-sizing provisioned throughput, serverless for dev/test, burst capacity, and container vs database throughput allocation. USE FOR: Cosmos DB autoscale, provisioned throughput, serverless, burst capacity, RU

• cosmosdb-tooling

  Azure Cosmos DB developer tooling guidance: VS Code extension for data inspection and management, and Cosmos DB Emulator setup for local development and testing. USE FOR: Cosmos DB VS Code extension, Cosmos DB Emulator, local development, data inspection, container management, emulator setup, dev/te

• cosmosdb-vector-search

  Azure Cosmos DB vector search best practices: enabling the feature, defining embedding policies, configuring vector indexes (flat, quantizedFlat, diskANN), normalizing embeddings, VectorDistance queries, and repository patterns for RAG. USE FOR: Cosmos DB vector search, vector embedding policy, vect