Azure Fluid Relay

Organization

MicrosoftDocs

azure-fluid-relay

Expert knowledge for Azure Fluid Relay development including troubleshooting, best practices, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AzureClient, audience APIs, JWT auth tokens, container recovery, or Static Web Apps hosting, and other Azure Fluid Relay related development tasks. Not for Azure Web PubSub (use azure-web-pubsub), Azure SignalR Service (use azure-signalr-service), Azure Relay (use azure-relay), Azure Service Bus (use azure-service-bus).

Overview

Publisher	MicrosoftDocs
Repository	`Agent-Skills`
Skill name	`azure-fluid-relay`
Stars	778
Forks	126
Bundled files	Instructions only
License	CC-BY-4.0
Links	Skill source Repository Homepage

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 Fluid Relay AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-fluid-relay
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.

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-fluid-relay .claude/skills/azure-fluid-relay

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Fluid Relay 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 Fluid Relay 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 Fluid Relay 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 Fluid Relay Skill

This skill provides expert guidance for Azure Fluid Relay. Covers troubleshooting, best practices, 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	L35-L39	Recovering from corrupted Azure Fluid Relay container data, including detection, mitigation steps, and restoring or reconstructing data to resume collaboration.
Best Practices	L40-L44	Guidance on integrating Azure Fluid Relay with test automation frameworks, setting up automated tests, and validating Fluid collaboration scenarios in CI/CD workflows.
Limits & Quotas	L45-L49	Details on Azure Fluid Relay capacity limits, throttling behavior, quotas per tenant/container, and guidance to avoid or handle rate limiting and overuse scenarios.
Security	L50-L60	Securing Fluid Relay apps: auth/JWT design, token providers, key rotation, CMK and data encryption, and validating container creator identity.
Configuration	L61-L66	Configuring compatible Fluid Framework client/server versions with Azure Fluid Relay and deleting Fluid Relay containers via Azure CLI.
Integrations & Coding Patterns	L67-L73	Building Fluid apps with AzureClient: connecting to Azure Fluid Relay, configuring local dev/test mode, and using audience APIs with React for presence and user management
Deployment	L74-L77	Guidance for deploying Fluid Framework apps with Azure Fluid Relay to Azure Static Web Apps, including setup, configuration, and integration steps for hosting collaborative apps.

Troubleshooting

Topic	URL
Recover corrupted Azure Fluid Relay container data	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/how-tos/container-recovery

Best Practices

Topic	URL
Use test automation frameworks with Azure Fluid Relay	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/how-tos/test-automation

Limits & Quotas

Topic	URL
Review Azure Fluid Relay service limits and throttling	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/reference/service-limits

Security

Topic	URL
Implement authentication and authorization for Fluid Relay apps	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/concepts/authentication-authorization
Use customer-managed keys with Azure Fluid Relay	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/concepts/customer-managed-keys
Configure data encryption for Azure Fluid Relay	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/concepts/data-encryption
Implement a secure TokenProvider with Azure Functions for Fluid Relay	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/how-tos/azure-function-token-provider
Understand and configure Azure Fluid Relay JWT token contract	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/how-tos/fluid-json-web-token
Rotate Azure Fluid Relay tenant access keys securely	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/how-tos/rotate-fluid-relay-access-keys
Validate container creator identity in Azure Fluid Relay	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/how-tos/validate-document-creator

Configuration

Topic	URL
Configure Fluid Framework versions compatible with Azure Fluid Relay	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/concepts/version-compatibility
Delete Azure Fluid Relay containers using Azure CLI	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/how-tos/container-deletion

Integrations & Coding Patterns

Topic	URL
Connect applications to Azure Fluid Relay using AzureClient	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/how-tos/connect-fluid-azure-service
Configure AzureClient local mode for Fluid app testing	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/how-tos/local-mode-with-azure-client
Use Fluid Framework audience features with React and AzureClient	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/how-tos/use-audience-in-fluid

Deployment

Topic	URL
Deploy Fluid applications to Azure Static Web Apps	https://learn.microsoft.com/en-us/azure/azure-fluid-relay/how-tos/deploy-fluid-static-web-apps

Frequently asked questions

What does the Azure Fluid Relay AI skill do?

Why use Azure Fluid Relay on TypingMind?

Because you install it once and use it with any model. Azure Fluid Relay 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 Fluid Relay in TypingMind?

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

Which AI models can use Azure Fluid Relay?

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 Fluid Relay?

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

Is the Azure Fluid Relay 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Azure Fluid Relay Skill

How to Use This Skill

Category Index

Troubleshooting

Best Practices

Limits & Quotas

Security

Configuration

Integrations & Coding Patterns

Deployment

Frequently asked questions

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