Azure Durable Task

Organization

MicrosoftDocs

azure-durable-task

Expert knowledge for Azure Durable Task development including best practices, decision making, architecture & design patterns, limits & quotas, configuration, integrations & coding patterns, and deployment. Use when choosing Durable storage backends, versioning orchestrations, using fan-out/fan-in, human approvals, or instance APIs, and other Azure Durable Task related development tasks. Not for Azure Functions (use azure-functions), Azure Logic Apps (use azure-logic-apps), Azure App Service (use azure-app-service), Azure Service Fabric (use azure-service-fabric).

Overview

Publisher	MicrosoftDocs
Repository	`Agent-Skills`
Skill name	`azure-durable-task`
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 Durable Task 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-durable-task
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-durable-task .claude/skills/azure-durable-task

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

Use it in TypingMind

Enable Azure Durable Task 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 Durable Task 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 Durable Task 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 Durable Task Skill

This skill provides expert guidance for Azure Durable Task. Covers best practices, decision making, architecture & design patterns, limits & quotas, 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
Best Practices	L35-L43	Patterns and constraints for writing robust orchestrator code, including retries and error handling, eternal/continue-as-new flows, external event handling, and singleton orchestration patterns.
Decision Making	L44-L49	Guidance on when to use Durable Functions vs raw Durable Task SDK, and how to compare and choose durable storage providers/backends for orchestrations.
Architecture & Design Patterns	L50-L57	Patterns for orchestrating Durable workflows: fan-out/fan-in, human approval steps, long-running monitors, and function chaining design and implementation.
Limits & Quotas	L58-L63	Configuring orchestration status size/retention limits, querying status, and monitoring Durable Task Scheduler action metrics, performance, and billing impacts.
Configuration	L64-L68	Configuring Durable Task hubs storage (connection, scaling, reliability) and using instance management APIs to query, control, and manage orchestration instances.
Integrations & Coding Patterns	L69-L73	Managing Durable Task workflow instances: starting, querying, terminating, purging, and using instance management APIs for lifecycle control and monitoring
Deployment	L74-L77	Guidance on safely deploying Durable orchestrations using versioning strategies, handling breaking changes, and managing upgrades without disrupting running workflows.

Best Practices

Topic	URL
Follow orchestrator code constraints in Durable Functions	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-task-code-constraints
Implement error handling and retries in Durable Functions	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-task-error-handling
Implement eternal orchestrations with continue-as-new	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-task-eternal-orchestrations
Handle external events in Durable orchestrations	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-task-external-events
Implement singleton orchestrators in Durable Functions	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-task-singletons

Decision Making

Topic	URL
Choose Durable Functions vs Durable Task SDK hosting	https://learn.microsoft.com/en-us/azure/durable-task/common/choose-orchestration-framework
Compare Durable Task storage providers and choose backends	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-task-storage-providers

Architecture & Design Patterns

Topic	URL
Implement fan-out/fan-in pattern in Durable Functions	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-task-fan-in-fan-out
Design human interaction workflows in Durable Task	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-task-human-interaction
Build monitor pattern workflows with Durable orchestrations	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-task-monitor
Use function chaining pattern in Durable workflows	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-task-sequence

Limits & Quotas

Topic	URL
Configure and query custom orchestration status limits	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-task-custom-orchestration-status
Monitor Durable Task Scheduler action metrics and billing	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-task-metrics

Configuration

Topic	URL
Configure and manage Durable Task hubs storage	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-task-hubs

Integrations & Coding Patterns

Topic	URL
Use instance management APIs for Durable Task workflows	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-task-instance-management

Deployment

Topic	URL
Use orchestration versioning for safe Durable deployments	https://learn.microsoft.com/en-us/azure/durable-task/common/durable-orchestration-versioning

Frequently asked questions

What does the Azure Durable Task AI skill do?

Why use Azure Durable Task on TypingMind?

Because you install it once and use it with any model. Azure Durable Task 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 Durable Task in TypingMind?

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

Which AI models can use Azure Durable Task?

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 Durable Task?

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

Is the Azure Durable Task 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 Durable Task Skill

How to Use This Skill

Category Index

Best Practices

Decision Making

Architecture & Design Patterns

Limits & Quotas

Configuration

Integrations & Coding Patterns

Deployment

Frequently asked questions

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