Azure Cache Redis logo

Azure Cache Redis

Organization
MicrosoftDocs
azure-cache-redis

Expert knowledge for Azure Cache for Redis development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, and deployment. Use when configuring geo-replication, persistence, VNet/private endpoints, Entra/RBAC auth, or ARM/Bicep deployments, and other Azure Cache for Redis related development tasks. Not for Azure Managed Redis (use azure-managed-redis), Azure Cosmos DB (use azure-cosmos-db), Azure Table Storage (use azure-table-storage).

Overview

PublisherMicrosoftDocs
RepositoryAgent-Skills
Skill nameazure-cache-redis
Stars
778
Forks
126
Bundled files
Instructions only
LicenseCC-BY-4.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MicrosoftDocs on GitHub. Read the source before you install it.

Installation

Install the Azure Cache Redis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-cache-redis
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git /tmp/Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/Agent-Skills/skills/azure-cache-redis .claude/skills/azure-cache-redis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Cache Redis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Azure Cache Redis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Azure Cache Redis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Azure Cache for Redis Skill

This skill provides expert guidance for Azure Cache for Redis. Covers troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, 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

CategoryLinesDescription
TroubleshootingL35-L43Diagnosing and fixing Azure Cache for Redis issues: client/server errors, connectivity, data loss, latency, and timeouts, plus targeted troubleshooting steps.
Best PracticesL44-L58Best practices for client usage, reliability, scaling, memory, performance testing, monitoring, failover behavior, and Kubernetes/Enterprise tier usage in Azure Cache for Redis
Decision MakingL59-L68Guidance on sizing and tier selection, cost reservations, network isolation options, and planning/migrating Redis caches, including retirement and Private Link migrations.
Architecture & Design PatternsL69-L73Strategies for architecting highly available Redis caches on Azure, including redundancy, failover, disaster recovery, and SLA-focused design patterns.
SecurityL74-L86Securing Azure Cache for Redis: Entra auth/RBAC, TLS config, disk encryption, private endpoints/VNet, managed identities, and Azure Policy compliance settings.
ConfigurationL87-L106Configuring and operating Azure Cache for Redis: server settings, geo-replication, persistence, zone redundancy, monitoring/logging, CLI/PowerShell management, and data import/export.
DeploymentL107-L114Scaling, upgrading, and region-moving Redis caches, plus deploying them via ARM/Bicep templates and managing tier/version/region changes.

Troubleshooting

Best Practices

TopicURL
Use Redis client libraries effectively with Azure Cachehttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-best-practices-client-libraries
Improve Azure Redis connection resilience and reliabilityhttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-best-practices-connection
Implement development patterns for Azure Cache for Redishttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-best-practices-development
Use Azure Redis Enterprise and Flash tiers effectivelyhttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-best-practices-enterprise-tiers
Run Kubernetes client apps against Azure Redis reliablyhttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-best-practices-kubernetes
Optimize memory management for Azure Redis cacheshttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-best-practices-memory-management
Conduct performance testing for Azure Cache for Redishttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-best-practices-performance
Apply scaling best practices for Azure Redis cacheshttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-best-practices-scale
Monitor CPU utilization and server load for Azure Redishttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-best-practices-server-load
Apply development best practices for Azure Redishttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-development-faq
Understand failover and patching behavior in Azure Cachehttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-failover

Decision Making

Architecture & Design Patterns

TopicURL
Design high availability strategies for Azure Cache for Redishttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-high-availability

Security

Configuration

TopicURL
Administer Azure Cache for Redis reboots and updateshttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-administration
Configure Azure Cache for Redis server settingshttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-configure
Configure Event Grid integration for Azure Cache for Redishttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-event-grid
Configure active geo-replication for Enterprise Azure Cachehttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-how-to-active-geo-replication
Configure passive geo-replication for Premium Azure Cachehttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-how-to-geo-replication
Import and export Azure Redis data via Blob storagehttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-how-to-import-export-data
Add and manage replicas in Premium Azure Cachehttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-how-to-multi-replicas
Configure data persistence for Azure Cache for Redishttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-how-to-premium-persistence
Enable zone redundancy for Azure Cache for Redishttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-how-to-zone-redundancy
Use Azure Monitor insights for Redis performancehttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-insights-overview
Configure diagnostic settings for Azure Cache for Redishttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-monitor-diagnostic-settings
Use Azure CLI scripts to manage Redis cacheshttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cli-samples
Administer Azure Cache for Redis via PowerShellhttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/how-to-manage-redis-cache-powershell
Reference monitoring metrics and logs for Azure Redishttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/monitor-cache-reference
Create and manage Redis caches with Azure CLIhttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/scripts/create-manage-cache
Provision clustered Premium Redis via Azure CLIhttps://learn.microsoft.com/en-us/azure/azure-cache-for-redis/scripts/create-manage-premium-cache-cluster

Deployment

Frequently asked questions

What does the Azure Cache Redis AI skill do?

Expert knowledge for Azure Cache for Redis development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, and deployment. Use when configuring geo-replication, persistence, VNet/private endpoints, Entra/RBAC auth, or ARM/Bicep deployments, and other Azure Cache for Redis related development tasks. Not for Azure Managed Redis (use azure-managed-redis), Azure Cosmos DB (use azure-cosmos-db), Azure Table Storage (use azure-table-storage).

Why use Azure Cache Redis on TypingMind?

Because you install it once and use it with any model. Azure Cache Redis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Azure Cache Redis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-cache-redis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Azure Cache Redis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Azure Cache Redis?

As many as you like. As long as a model supports skills, you can use Azure Cache Redis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Azure Cache Redis AI skill free?

Yes. It is published on GitHub by MicrosoftDocs under the CC-BY-4.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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