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Integration Patterns

Community
korchard333
integration-patterns

Power Platform integration patterns with Azure services. Use when: Service Bus, Azure Functions, webhook, event-driven, hybrid, on-premises gateway, VNet, integration pattern, Event Grid, Azure Relay, private endpoints, custom connectors to Azure.

Overview

Publisherkorchard333
Repositoryclaude-power-platform-community
Skill nameintegration-patterns
Stars
50
Forks
6
Bundled files
5
LicenseMIT
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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by korchard333 on GitHub. Read the source before you install it.

Installation

Install the Integration Patterns 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/korchard333/claude-power-platform-community/tree/main/.claude/skills/integration-patterns
  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/korchard333/claude-power-platform-community.git /tmp/claude-power-platform-community
mkdir -p .claude/skills
cp -r /tmp/claude-power-platform-community/.claude/skills/integration-patterns .claude/skills/integration-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Integration Patterns 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 Integration Patterns 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 Integration Patterns 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.

Skill: Integration Patterns

When to Use

Trigger when designing integrations between Power Platform and Azure services — Service Bus messaging, Azure Functions for compute, Dataverse webhooks, Event Grid, on-premises gateway, VNet connectivity, or hybrid architectures.


Integration Pattern Overview

PatternDirectionCouplingBest For
Service BusDataverse → Azure (async)LooseReliable messaging, event distribution
Azure FunctionsBidirectionalMediumCustom compute, API intermediary
WebhooksDataverse → External (sync/async)LooseReal-time push notifications
Event GridAzure → Power PlatformLooseAzure event-driven triggers
On-premises gatewayPower Platform → On-premTightLegacy system access
VNet integrationPower Platform ↔ Azure VNetTightNetwork-level security
Custom connectorsPower Platform → Any APIMediumREST API integration

⚠️ REQUIRED: Load Sub-Files Before Implementation

SKILL.md is a summary only — it is NOT sufficient for implementation.

The detailed content (complete payloads, XML templates, working examples, edge-case handling) lives in sub-files in the same directory as this SKILL.md. Before writing any code, you MUST use read_file on the sub-files relevant to your task:

  • Service Bus — Azure Service Bus integration, topic/queue patterns, Dataverse plugin to Service Bus, reliable messaging, dead-letter handling, session-aware processing
  • Azure Functions — when to use Functions vs plugins vs flows, HTTP-triggered for Custom Connectors, Dataverse bindings, managed identity auth, cold start mitigation
  • Webhooks & Events — Dataverse webhooks (real-time push), webhook registration via API, payload schema, retry behavior, Event Grid integration
  • Hybrid Connectivity — on-premises data gateway, Azure VNet integration, private endpoints for Dataverse, Azure Relay, security considerations

Decision Table: Which Integration Pattern?

RequirementPatternWhy
Reliable async messagingService BusGuaranteed delivery, dead-letter, retry
Real-time event notificationWebhookImmediate push on data change
Custom compute (validation, transformation)Azure FunctionServerless, scalable, any language
Legacy on-prem database accessOn-prem gatewayBridge to SQL, Oracle, SAP
Network-isolated Azure resourcesVNet integrationPrivate endpoint access
Fan-out to multiple subscribersService Bus topics or Event GridOne event, many consumers
Simple REST API callCustom connectorLow-code, reusable
High-volume batch processingAzure Function + Service BusDecouple producer from consumer

Anti-Patterns

  • Synchronous HTTP calls in Dataverse plugins to external APIs (2-minute timeout, blocks user)
  • On-premises gateway for everything (single point of failure, bottleneck)
  • No dead-letter handling on Service Bus (lost messages go unnoticed)
  • Webhook without retry-aware endpoint (missed events)
  • Azure Functions with long cold starts on critical paths (user-facing latency)
  • Tight coupling between Dataverse and external systems (breaks when external system changes)
  • No monitoring on integration points (failures go undetected)
  • VNet integration without private endpoints (traffic still goes over public internet)

Related Skills

  • plugins — Dataverse plugins that trigger integrations
  • power-automate — Flow-based integrations with connectors
  • azure-openai — Azure Functions as AI intermediary
  • custom-connectors — Custom connector creation for APIs
  • security — Authentication for external integrations

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Integration Patterns AI skill do?

Power Platform integration patterns with Azure services. Use when: Service Bus, Azure Functions, webhook, event-driven, hybrid, on-premises gateway, VNet, integration pattern, Event Grid, Azure Relay, private endpoints, custom connectors to Azure.

Why use Integration Patterns on TypingMind?

Because you install it once and use it with any model. Integration Patterns 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 Integration Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/korchard333/claude-power-platform-community/tree/main/.claude/skills/integration-patterns. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Integration Patterns?

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 Integration Patterns?

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

Is the Integration Patterns AI skill free?

Yes. It is published on GitHub by korchard333 under the MIT 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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