Official agent skill

Azure Documentdb

by MicrosoftDocs in MicrosoftDocs/Agent-Skills

OfficialCC-BY-4.0Auto-check passedDatabases

Install Azure Documentdb

skills CLI

$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-documentdb -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install MicrosoftDocs/Agent-Skills azure-documentdb --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/azure-documentdb .claude/skills/azure-documentdb && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "azure-documentdb" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-documentdb into .claude/skills/azure-documentdb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-documentdb", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-documentdb

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-documentdb -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install MicrosoftDocs/Agent-Skills azure-documentdb --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/azure-documentdb .agents/skills/azure-documentdb && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "azure-documentdb" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-documentdb into .agents/skills/azure-documentdb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-documentdb", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-documentdb -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install MicrosoftDocs/Agent-Skills azure-documentdb --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/azure-documentdb .cursor/skills/azure-documentdb && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "azure-documentdb" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-documentdb into .cursor/skills/azure-documentdb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-documentdb", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/MicrosoftDocs/Agent-Skills.git --path skills/azure-documentdb

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-documentdb -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install MicrosoftDocs/Agent-Skills azure-documentdb --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/azure-documentdb .gemini/skills/azure-documentdb && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "azure-documentdb" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-documentdb into .gemini/skills/azure-documentdb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-documentdb", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install MicrosoftDocs/Agent-Skills azure-documentdb

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-documentdb -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/azure-documentdb .github/skills/azure-documentdb && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "azure-documentdb" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-documentdb into .github/skills/azure-documentdb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-documentdb", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-documentdb -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install MicrosoftDocs/Agent-Skills azure-documentdb --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/azure-documentdb .opencode/skills/azure-documentdb && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "azure-documentdb" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-documentdb into .opencode/skills/azure-documentdb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-documentdb", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: azure-documentdb
GitHub stars: 775
Token cost: ~4.2k tokens
SKILL.md length: 1,158 words
Files: 1
Skills in repo: 149
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: CC-BY-4.0

At a glance

Using Mongo-compatible APIs
SKILL.md covers How to Use This Skill and Category Index
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
Cross-region replication

What it does

Azure Documentdb is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert 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 Mongo-compatible APIs, vector search, cross-region replication, change streams, or the HTTPS Data API, 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…

Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires network access. Uses mcpmicrosoftdocs:microsoftdocsfetch or fetchwebpage to retrieve documentation.

It sits in Databases, covering Design patterns, Vector databases and Database administration. It works with Microsoft Azure, Microsoft SQL Server and Azure Cosmos DB. The repository describes itself as: Curated Agent Skills for Microsoft & Azure – giving AI coding assistants structured, real-time expertise from Microsoft Learn docs. The licence is CC-BY-4.0.

When your agent uses it

Using Mongo-compatible APIs
Cross-region replication
The HTTPS Data API
Other Azure DocumentDB related development tasks

Example prompts

“/azure-documentdb”

Requirements

Python 3
Node.js
Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.

What it can do on your machine

Read from SKILL.md and the folder at commit ba74e8f. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- learn.microsoft.com
- github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
From compatibility in the SKILL.md frontmatter.

Context cost

Azure Documentdb loads about 4.2k tokens when it runs. Until then it costs about 155 tokens; SKILL.md has 1,158 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~155
When it runs · the whole SKILL.md, loaded when a task matches: ~4.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from MicrosoftDocs/Agent-Skills at commit ba74e8f, republished under its CC-BY-4.0 licence (© MicrosoftDocs). 1,158 words, ~4,221 tokens.

Download SKILL.mdSave it as .claude/skills/azure-documentdb/SKILL.md (or your agent's skills folder).

name: azure-documentdb
description: Expert 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 Mongo-compatible APIs, vector search, cross-region replication, change streams, or the HTTPS Data API, 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).
compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
metadata.generated_at: 2026-09-20
metadata.generator: docs2skills/1.0.0

Azure DocumentDB Skill

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), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file

IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools 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_fetch with query string from=learn-agent-skill. Returns Markdown.
Fallback: Use fetch_webpage with query string from=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-L71	Guidance on choosing DocumentDB vs MongoDB services, planning and migrating MongoDB workloads, configuring cross-region failover, and selecting optimal vector index/search algorithms across languages
Architecture & Design Patterns	L72-L83	Patterns for scaling, HA/DR, sharding, multi‑cloud setups, and building Go/TypeScript AI agents (including autonomous travel) on Azure DocumentDB.
Limits & Quotas	L84-L97	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	L98-L109	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	L110-L130	Configuring DocumentDB features: search (BM25, vector, fuzzy, phrase, geo), MongoDB compatibility, change streams, replication/scale, transactions, Data API, alerts, and monitoring.
Integrations & Coding Patterns	L131-L156	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	L157-L163	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

Topic	URL
Choose Azure first-party services for MongoDB workloads	https://learn.microsoft.com/en-us/azure/documentdb/azure-mongo-first-party
Decide between Azure DocumentDB and MongoDB Atlas	https://learn.microsoft.com/en-us/azure/documentdb/compare-mongodb-atlas
Choose cross-region failover modes in Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/failover-modes
Assess MongoDB readiness and plan migration to DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/how-to-assess-plan-migration-readiness
Evaluate MongoDB compatibility in managed services	https://learn.microsoft.com/en-us/azure/documentdb/managed-service-compatibility
Choose migration options from MongoDB to Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/migration-options
Evaluate vector search algorithms with .NET	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-dotnet-select-algorithm
Compare vector index options in Go on DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-go-select-algorithm
Test and select vector indexes with Java	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-java-select-algorithm
Choose vector index algorithms using TypeScript	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-nodejs-select-algorithm
Select optimal vector index and similarity in Python	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-python-select-algorithm

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

Topic	URL
Use supported compute and storage configurations in DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/compute-storage
Use supported compute and storage configurations in DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/compute-storage
Understand Azure DocumentDB Free Tier limits and features	https://learn.microsoft.com/en-us/azure/documentdb/free-tier
Configure Premium SSD v2 performance for DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/high-performance-storage
Configure text indexes and understand their limits in DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/how-to-create-text-index
Enable diagnostic logs for Azure DocumentDB with tier constraints	https://learn.microsoft.com/en-us/azure/documentdb/how-to-monitor-diagnostics-logs
Understand indexing behavior and limits in Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/indexing
Reference service limits and quotas for Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/limitations
Document size and batch write limits in Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/max-document-size
Track Azure DocumentDB feature releases and previews	https://learn.microsoft.com/en-us/azure/documentdb/release-notes

Show full SKILL.md (429 more words)Show less

Security

Topic	URL
Understand encryption at rest for Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/database-encryption-at-rest
Configure Azure DocumentDB firewall access rules	https://learn.microsoft.com/en-us/azure/documentdb/how-to-configure-firewall
Configure Entra ID RBAC authentication for Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/how-to-connect-role-based-access-control
Configure customer-managed encryption keys for Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/how-to-data-encryption
Secure Azure DocumentDB with Azure Private Link	https://learn.microsoft.com/en-us/azure/documentdb/how-to-private-link
Manage public network access to Azure DocumentDB clusters	https://learn.microsoft.com/en-us/azure/documentdb/how-to-public-access
Manage secondary native users and privileges in DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/secondary-users
Apply security best practices to Azure DocumentDB clusters	https://learn.microsoft.com/en-us/azure/documentdb/security

Configuration

Topic	URL
Configure and use change streams in Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/change-streams
Configure MongoDB feature compatibility in Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/compatibility-features
Use MongoDB query language features on DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/compatibility-query-language
Configure fuzzy full-text search in DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/full-text-search-fuzzy
Configure hybrid BM25 and vector search on DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/full-text-search-hybrid
Set up BM25 keyword search indexes on DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/full-text-search-keyword
Configure full-text search in Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/full-text-search-overview
Implement phrase and proximity search on DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/full-text-search-phrase-proximity
Configure and run geospatial queries in Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/geospatial-support
Configure wildcard indexes for dynamic schemas in DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/how-to-create-wildcard-indexes
Create and use replica clusters in Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/how-to-cross-region-replica-portal
Configure metric-based alerts for Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/how-to-manage-alerts
Scale and configure Azure DocumentDB clusters	https://learn.microsoft.com/en-us/azure/documentdb/how-to-scale-cluster
Configure multi-operation transactions in Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/how-to-transactions
Configure and use the Azure DocumentDB MCP Toolkit	https://learn.microsoft.com/en-us/azure/documentdb/mcp-toolkit
Monitor Azure DocumentDB metrics and resource usage	https://learn.microsoft.com/en-us/azure/documentdb/monitor-metrics
Configure integrated vector store in Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/vector-search

Integrations & Coding Patterns

Topic	URL
Use LangChain Azure AI vector store with DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/build-rag-applications
Integrate Haystack RAG pipelines with Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/build-rag-pipelines
Convert Cassandra schemas to Azure DocumentDB with VS Code	https://learn.microsoft.com/en-us/azure/documentdb/cassandra-how-to-schema-conversion-vs-code
Use Azure DocumentDB Data API over HTTPS	https://learn.microsoft.com/en-us/azure/documentdb/data-api
Connect Azure Databricks to Azure DocumentDB with Spark	https://learn.microsoft.com/en-us/azure/documentdb/how-to-connect-from-databricks
Migrate MongoDB to DocumentDB using native tools	https://learn.microsoft.com/en-us/azure/documentdb/how-to-migrate-native-tools
Migrate MongoDB using Azure DocumentDB VS Code extension	https://learn.microsoft.com/en-us/azure/documentdb/how-to-migrate-vs-code-extension
Persist LangGraph agent state in Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/persist-agent-state
Integrate LlamaIndex vector store with Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/query-knowledge-base
Integrate .NET/C# apps with Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-dotnet
Perform vector search with .NET on DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-dotnet-vector-search
Use Go drivers with Azure DocumentDB clusters	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-go
Implement vector search in Go on DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-go-vector-search
Connect Java applications to Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-java
Use Java for vector search on Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-java-vector-search
Use Node.js drivers with Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-nodejs
Use Node.js for vector search on DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-nodejs-vector-search
Connect Python applications to Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-python
Implement vector search in Python on DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-python-vector-search
Integrate Rust applications with Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/quickstart-rust
Generate AI advertisements using DocumentDB and OpenAI	https://learn.microsoft.com/en-us/azure/documentdb/tutorial-ai-advertisement-generation
Build a MERN web app with Azure DocumentDB	https://learn.microsoft.com/en-us/azure/documentdb/tutorial-nodejs-web-app

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

Files

Just SKILL.md in skills/azure-documentdb of MicrosoftDocs/Agent-Skills.

Open the folder on GitHubat commit ba74e8f

Compare with similar skills

Azure Documentdb next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Azure Documentdb compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Azure Documentdb this skillMicrosoftDocs/Agent-Skills	775	—	~4.2k	Automated safety check: Pass	CC-BY-4.0	yesterday
Cosmosdb Best Practicesmicrosoft/vscode-cosmosdb	200	—	~4.3k	Automated safety check: Pass	MIT	today
Azure Storagemicrosoft/GitHub-Copilot-for-Azure	255	2 repos	~1.3k	Automated safety check: Pass	MIT	today
Azure Data Tables Pymicrosoft/skills	3.1k	1 repos	~2.1k	Automated safety check: Pass	MIT	yesterday
Neon Postgresusenotra/notra	255	—	~4.1k	Automated safety check: Notes	AGPL-3.0	today
Azure Cosmosdbalinaqi/maggy	707	1 repos	~4.5k	Automated safety check: Pass	MIT	13 days ago

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Azure Architecture Advisor
MicrosoftDocs/Agent-Skills
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Guides Azure solution design by category, from reference architectures and design patterns to technology choices and migrations, fetching current Microsoft Learn pages over the network.
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Azure Advisor Guidance
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Azure Analysis Services
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Expert knowledge for Azure Analysis Services development including troubleshooting.
775 GitHub stars~608 tokensUpdated yesterday
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Azure Anomaly Detector
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Works with

Questions about Azure Documentdb

What does Azure Documentdb do?

Expert knowledge for Azure DocumentDB development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations &…. Azure Documentdb is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure DocumentDB development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment.

When should I use Azure Documentdb?

Azure Documentdb fits situations like: using Mongo-compatible APIs; cross-region replication; the HTTPS Data API; other Azure DocumentDB related development tasks.

How do I install Azure Documentdb in Claude Code?

Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-documentdb -a claude-code`. Or copy the skill folder (skills/azure-documentdb in MicrosoftDocs/Agent-Skills) into .claude/skills/azure-documentdb in your project. Claude Code loads it when a task matches its description.

How do I install Azure Documentdb in Codex?

Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-documentdb -a codex`. Or copy the skill folder (skills/azure-documentdb in MicrosoftDocs/Agent-Skills) into .agents/skills/azure-documentdb in your project. Codex loads it when a task matches its description.

Can I use Azure Documentdb in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-documentdb -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azure-documentdb, .gemini/skills/azure-documentdb, .github/skills/azure-documentdb and .opencode/skills/azure-documentdb in your project.

What does Azure Documentdb need to run?

SKILL.md names no scripts, command-line tools or credentials: Azure Documentdb is instructions for the agent only. Our summary lists: Python 3; Node.js. Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation..

Does Azure Documentdb access the network?

SKILL.md names 2 domains. As links in the text: learn.microsoft.com and github.com. This is read from the text; nothing was executed.

Is Azure Documentdb safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Azure Documentdb use?

Azure Documentdb is published under the CC-BY-4.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Azure Documentdb use?

About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Azure Documentdb?

Skills that share tags, products or a category with Azure Documentdb: Cosmosdb Best Practices (microsoft/vscode-cosmosdb, 200 stars), Azure Storage (microsoft/GitHub-Copilot-for-Azure, 255 stars), Azure Data Tables Py (microsoft/skills, 3.1k stars) and Neon Postgres (usenotra/notra, 255 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Azure Documentdb?

MicrosoftDocs (a GitHub organization, an official publisher) maintains it in MicrosoftDocs/Agent-Skills, which has 775 GitHub stars. The repository holds 149 skills in this directory. The repository was last updated on October 5, 2026.

Source: MicrosoftDocs/Agent-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Azure Documentdb

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Compatibility

Context cost

Safety

SKILL.md

Azure DocumentDB Skill

How to Use This Skill

Category Index

Troubleshooting

Best Practices

Decision Making

Architecture & Design Patterns

Limits & Quotas

Security

Configuration

Integrations & Coding Patterns

Deployment

Files

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Related

Questions about Azure Documentdb