Azure DocumentDB Skill
SkillSearchExpert knowledge for Azure DocumentDB development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using DocumentDB search (BM25/vector), Data API, MongoDB compatibility, change streams, or cross-region replication, and other Azure DocumentDB related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Table Storage (use azure-table-storage), Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance).
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Azure DocumentDB Skill skill
What this skill tells your AI
The instructions your AI receives, as published by microsoftdocs/agent-skills in skills/azure-documentdb/SKILL.md and read by ahel’s review.
This skill provides expert guidance for Azure DocumentDB. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L37-L45 | Diagnosing and fixing DocumentDB issues: common errors, CMK encryption problems, query performance via explain(), connectivity, and replication troubleshooting. |
| Best Practices | L46-L56 | Best practices for DocumentDB indexing and queries, safe index changes, and configuring cross-region replication and high availability for resilient, performant data access. |
| Decision Making | L57-L72 | Guides for choosing between DocumentDB and MongoDB services, planning migrations, configuring cross-region failover, and selecting optimal vector search/index algorithms across languages. |
| Architecture & Design Patterns | L73-L84 | Patterns for scaling, HA/DR, sharding, multi‑cloud setups, and building Go/TypeScript AI agents (including autonomous travel) on Azure DocumentDB. |
| Limits & Quotas | L85-L98 | Limits, quotas, and configuration constraints for DocumentDB: compute/storage tiers, free tier caps, SSD performance, indexing/text index limits, document/batch sizes, diagnostics, and feature availability. |
| Security | L99-L110 | Securing DocumentDB clusters: encryption at rest and with customer keys, firewall and public access controls, Private Link, Entra ID RBAC, native users/privileges, and security best practices. |
| Configuration | L111-L131 | Configuring DocumentDB features: search (BM25, vector, fuzzy, phrase, geo), MongoDB compatibility, change streams, replication/scale, transactions, Data API, alerts, and monitoring. |
| Integrations & Coding Patterns | L132-L157 | Patterns and code to connect apps and AI/RAG tools to Azure DocumentDB, including drivers, HTTPS Data API, migrations (Mongo/Cassandra), vector search, and sample app integrations. |
| Deployment | L158-L164 | Guides for deploying and managing DocumentDB clusters: local dev to Azure, backup/restore, version upgrades, and IaC deployment with Bicep and Terraform. |
Troubleshooting
| Topic | URL |
|---|---|
| Troubleshoot common Azure DocumentDB issues | https://learn.microsoft.com/en-us/azure/documentdb/faq |
| Troubleshoot CMK encryption issues in Azure DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/how-to-database-encryption-troubleshoot |
| Diagnose query performance using explain() in DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/how-to-read-explain-output |
| Troubleshoot common Azure DocumentDB errors and connectivity | https://learn.microsoft.com/en-us/azure/documentdb/troubleshoot-common-issues |
| Troubleshoot Azure DocumentDB replication issues | https://learn.microsoft.com/en-us/azure/documentdb/troubleshoot-replication |
Best Practices
| Topic | URL |
|---|---|
| Use background indexing safely in Azure DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/background-indexing |
| Apply cross-region replication best practices in DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/cross-region-replication |
| Implement HA and replication best practices in DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/high-availability-replication-best-practices |
| Apply indexing best practices for Azure DocumentDB collections | https://learn.microsoft.com/en-us/azure/documentdb/how-to-create-indexes |
| Explore practical indexing scenarios in Azure DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/how-to-index |
| Safely migrate from non-ordered to ordered indexes in DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/how-to-migrate-ordered-indexes |
| Optimize Azure DocumentDB queries with Index Advisor | https://learn.microsoft.com/en-us/azure/documentdb/index-advisor |
Decision Making
Architecture & Design Patterns
| Topic | URL |
|---|---|
| Apply autoscale behavior for Azure DocumentDB workloads | https://learn.microsoft.com/en-us/azure/documentdb/autoscale |
| Understand HA and DR internals for Azure DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/availability-disaster-recovery-under-hood |
| Plan high availability for Azure DocumentDB clusters | https://learn.microsoft.com/en-us/azure/documentdb/high-availability |
| Design multi-cloud architectures with Azure DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/multi-cloud |
| Design sharding strategy for Azure DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/partitioning |
| Implement Go-based AI agents with DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/quickstart-agent-go |
| Build TypeScript AI agents with DocumentDB vector search | https://learn.microsoft.com/en-us/azure/documentdb/quickstart-agent-nodejs |
| Design an autonomous travel agent with DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/tutorial-ai-agent |
Limits & Quotas
Security
Configuration
Integrations & Coding Patterns
Deployment
| Topic | URL |
|---|---|
| Develop locally with DocumentDB and deploy to Azure | https://learn.microsoft.com/en-us/azure/documentdb/development-loop |
| Upgrade Azure DocumentDB clusters to newer MongoDB versions | https://learn.microsoft.com/en-us/azure/documentdb/how-to-upgrade-cluster |
| Deploy Azure DocumentDB clusters with Bicep | https://learn.microsoft.com/en-us/azure/documentdb/quickstart-bicep |
| Deploy Azure DocumentDB clusters using Terraform | https://learn.microsoft.com/en-us/azure/documentdb/quickstart-terraform |
Signals
- GitHub stars
- 740
- Forks
- 119
- Last commit
- Sep 2026
ahel review
S4info
community integration — published by microsoftdocs, not azure
Automated review, not a security audit. Ruleset v1.
Advanced
- Catalog kind
- skill
- Gateway key
azure-documentdb- Source
- github.com/microsoftdocs/agent-skills