Azure/documentdb-agent-kit

Agent Skills pack for Azure DocumentDB (MongoDB compatibility) - vector search, full-text search, query optimization, connection tuning, local deployment, security, HA, and MCP setup.

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Azure/documentdb-agent-kit

Skill Claude CodeCodex

Deploy an Azure DocumentDB cluster (Microsoft.DocumentDB/mongoClusters) end-to-end — Bicep (primary), Azure CLI one-shot, Terraform, or portal. Covers resource-group creation, cluster parameters (tier, storage, server version, sharding, HA), firewall rule configuration, retrieving the connection string, and teardown.…

5 1mo ago A 102 tokens original MIT

Azure/documentdb-agent-kit

Skill Claude CodeCodex

Optimize MongoDB client connection configuration (pools, timeouts, patterns) for Azure DocumentDB. Use this skill when working on functions that instantiate or configure a MongoDB client (e.g., calling connect()), configuring connection pools, troubleshooting connection errors (ECONNREFUSED, timeouts, pool…

5 1mo ago A 98 tokens original MIT

Azure/documentdb-agent-kit

Skill Claude CodeCodex

Data modeling patterns for Azure DocumentDB — embed vs reference, 16 MB document limit, denormalization for read-heavy workloads, schema versioning. Use when designing new schemas, reviewing existing data models, migrating from SQL, deciding between embedding and referencing, modeling one-to-one / one-to-many /…

5 1mo ago A 86 tokens original MIT

documentdb-driver

04

Azure/documentdb-agent-kit

Skill Claude CodeCodex

MongoDB driver and SDK best practices for Azure DocumentDB — singleton MongoClient, connection reuse, connection-pool fundamentals. Use when writing code that instantiates a MongoDB client, reviewing driver initialization, or diagnosing connection-related bugs. For full connection-pool tuning (serverless vs OLTP vs…

5 1mo ago A 82 tokens original MIT

Azure/documentdb-agent-kit

Skill Claude CodeCodex

Full-text search best practices for Azure DocumentDB using the createSearchIndexes command and $search aggregation stage — BM25 keyword scoring, fuzzy search (maxEdits), phrase search with slop, custom analyzers (keyword + lowerCase + asciiFolding + edgeGram) for prefix / ID matching, pathHierarchy tokenizer for…

5 1mo ago A 135 tokens original MIT

Azure/documentdb-agent-kit

Skill Claude CodeCodex

High availability, business-continuity, and disaster-recovery best practices for Azure DocumentDB — enabling in-region HA with availability zones (99.99% SLA), adding active-passive cross-region replica clusters (99.995% SLA), and understanding automatic backup retention. Use when designing production topology…

5 1mo ago A 81 tokens original MIT

documentdb-indexing

07

Azure/documentdb-agent-kit

Skill Claude CodeCodex

Index-type selection and shape guidance for Azure DocumentDB — when to use single-field, compound (ESR), multikey, wildcard, hashed, 2dsphere, TTL, and vector indexes; query-pattern → index-shape cookbook; per-collection index budget; DocumentDB-specific preference for textSearch over community $text. Use when…

5 1mo ago A 101 tokens original MIT

Azure/documentdb-agent-kit

Skill Claude CodeCodex

Best practices for running Azure DocumentDB locally for development — choosing between the Gateway Docker image and the psql-only image, docker-compose setup, connection config (port 10260, TLS, SCRAM-SHA-256), env-driven configuration, sample-data management (SKIPINITDATA / INITDATAPATH), port bindings, and dev/prod…

5 1mo ago A 111 tokens original MIT

Azure/documentdb-agent-kit

Skill Claude CodeCodex

Guide users through installing and configuring the DocumentDB MCP server for Azure DocumentDB. Use this skill when a user wants to wire the DocumentDB MCP server into an agentic client (Claude Code, Claude Desktop, Cursor, Copilot CLI, Gemini CLI, VS Code) and define a CONNECTIONPROFILES entry, or when they hit MCP…

5 1mo ago D 84 tokens original MIT

Azure/documentdb-agent-kit

Skill Claude CodeCodex

Monitoring and diagnostics best practices for Azure DocumentDB — enabling diagnostic settings and slow-query logs, analyzing them in Log Analytics, and alerting on CPU / memory / IOPS / storage / connection saturation per cluster tier. Use when setting up observability on a new cluster, investigating production…

5 1mo ago A 68 tokens original MIT

Azure/documentdb-agent-kit

Skill Claude CodeCodex

Generate read-only DocumentDB/MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate queries for Azure DocumentDB, wants to filter/query/aggregate data, asks "how do I query..."…

5 1mo ago A 119 tokens original MIT

Azure/documentdb-agent-kit

Skill Claude CodeCodex

Query and aggregation-pipeline optimization rules for Azure DocumentDB — using explain("executionStats") to verify index usage and avoid COLLSCAN. Use when reviewing a specific query, diagnosing a slow query, or validating that an index is actually being used. For full index-design workflow, see the…

5 1mo ago A 77 tokens original MIT

Azure/documentdb-agent-kit

Skill Claude CodeCodex

Help with DocumentDB/MongoDB query optimization and indexing for Azure DocumentDB. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I index this?", "Why is this query slow?", "Can you fix my slow queries?", etc. Do not invoke for general query writing unless user…

5 1mo ago A 94 tokens original MIT

documentdb-security

14

Azure/documentdb-agent-kit

Skill Claude CodeCodex

Security best practices for Azure DocumentDB — TLS enforcement, Private Endpoint / firewall configuration, Microsoft Entra ID + RBAC for authentication, and customer-managed keys (CMK) for encryption at rest. Use when reviewing production security posture, configuring networking, setting up authentication /…

5 1mo ago A 66 tokens original MIT

documentdb-sharding

15

Azure/documentdb-agent-kit

Skill Claude CodeCodex

Horizontal sharding (partitioning) for Azure DocumentDB collections — when to shard vs stay single-shard, how to pick a shard key for read-heavy vs write-heavy workloads, the logical/physical shard mental model, scaling out vs scaling up, hot-partition diagnosis, and the sh.shardCollection / sh.reshardCollection…

5 1mo ago A 108 tokens original MIT

documentdb-storage

16

Azure/documentdb-agent-kit

Skill Claude CodeCodex

Storage configuration guidance for Azure DocumentDB — when and how to use Premium SSD v2 high-performance storage, IOPS/bandwidth caps that are gated by compute tier (not disk size), Premium SSD v2 limitations (no CMK, migration paths, disk-hydration sequencing), and storage capacity change limits. Use when picking a…

5 1mo ago A 109 tokens original MIT

Azure/documentdb-agent-kit

Skill Claude CodeCodex

Vector search best practices for Azure DocumentDB using cosmosSearch — choosing between DiskANN / HNSW / IVF, creating indexes, tuning lBuild / lSearch / maxDegree, Product Quantization (up to 16,000 dims), half-precision (fp16) indexing, and normalizing embeddings for cosine similarity. Use when building RAG /…

5 1mo ago A 106 tokens original MIT