Azure Openai

Community

korchard333

azure-openai

Azure OpenAI and AI integration with Power Platform. Use when: Azure OpenAI, AOAI, AI Foundry, GPT, LLM, AI integration, BYOM, bring your own model, AI Builder prompts, structured output, AI architecture decisions, Copilot Studio custom models.

Overview

Publisher	korchard333
Repository	`claude-power-platform-community`
Skill name	`azure-openai`
Stars	50
Forks	6
Bundled files	5
License	MIT
Links	Skill source Repository

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 Azure Openai 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/korchard333/claude-power-platform-community/tree/main/.claude/skills/azure-openai
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/korchard333/claude-power-platform-community/tree/main/.claude/skills/azure-openai

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/korchard333/claude-power-platform-community.git /tmp/claude-power-platform-community
mkdir -p .claude/skills
cp -r /tmp/claude-power-platform-community/.claude/skills/azure-openai .claude/skills/azure-openai

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

Use it in TypingMind

Enable Azure Openai 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 Openai 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 Openai 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: Azure OpenAI Integration

When to Use

Trigger when integrating Azure OpenAI (or AI Foundry models) with Power Platform — from Power Automate flows, Code Apps, Copilot Studio agents, or when making architecture decisions about which AI approach to use.

Integration Patterns

Pattern	Description	Best For
AI Builder prompts	Low-code GPT prompts in flows/apps	Simple text generation, classification, extraction
Azure AI Foundry connector	Power Automate connector to AOAI	Flow-based AI with premium connector
HTTP connector to AOAI	Direct REST calls to AOAI endpoint	Full control, streaming, advanced parameters
Custom API + Azure Function	Server-side AI calls exposed via Custom API	Code Apps, secure key management, streaming
Copilot Studio BYOM	Custom model for agent responses/prompts	Domain-specific agent behavior
Copilot Studio generative actions	AI selects actions dynamically	Context-dependent automation

⚠️ 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:

Power Automate + AI — AI Foundry connector in flows, HTTP connector to AOAI endpoints, prompt patterns, retry/fallback, structured output parsing, token limit management
Code Apps + AI — AOAI from Code Apps via Custom API or Azure Function (never client-side keys), streaming responses, chat UI patterns, React hooks for AI calls
Copilot Studio BYOM — Bring Your Own Model for prompts and response generation, AI Foundry model configuration, testing, monitoring token usage
AI Architecture Decisions — decision tree: Copilot Studio agent vs Azure AI Foundry agent vs Power Automate Agent Flow vs AI Builder vs direct AOAI, licensing implications, data residency

Key Principles

Never expose API keys client-side — Code Apps and Canvas Apps must call AOAI via a server-side intermediary (Custom API, Azure Function, or Power Automate flow)
Use managed identity when possible — Azure Function with managed identity to AOAI is the most secure pattern
AI Builder for simple, Foundry for complex — AI Builder prompts are faster to build; direct AOAI is more flexible
Monitor token consumption — set up alerts on Azure OpenAI usage to prevent unexpected costs
Structured output — use JSON mode or function calling for parseable responses, not free-form text

Anti-Patterns

Exposing AOAI API keys in client-side code (Canvas/Code Apps)
Using GPT for deterministic tasks that don't need AI (regex, simple lookups)
No retry logic on AI calls (AOAI returns 429 under load)
No token limit management (prompt + response exceeding model context window)
Free-form text output when structured data is needed (use JSON mode)
Using AI Builder for everything (limited control, limited models)
No cost monitoring on AOAI deployment (token costs can spike unexpectedly)
Calling AOAI from every flow run without caching (expensive for repetitive queries)
Not testing with representative data (AI behavior varies with real-world input)

Related Skills

copilot-studio — Agent building, generative actions, knowledge sources
power-automate — Flow integration with AI connectors
code-apps — React UI patterns for AI features
licensing — AI Builder credits, Copilot Credits, AOAI consumption costs
integration-patterns — Azure Functions for server-side AI

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 Azure Openai AI skill do?

Why use Azure Openai on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/korchard333/claude-power-platform-community/tree/main/.claude/skills/azure-openai. 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 Azure Openai?

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 Openai?

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

Is the Azure Openai 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Skill: Azure OpenAI Integration

When to Use

Integration Patterns

⚠️ REQUIRED: Load Sub-Files Before Implementation

Key Principles

Anti-Patterns

Related Skills

Bundled files

Frequently asked questions

Related AI Skills

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