Add Datasource logo

Add Datasource

Organization
microsoft
add-datasource

Use when adding an unspecified data source to an Expo/React Native Power Apps mobile app; routes to Dataverse, SharePoint, or another connector.

Overview

Publishermicrosoft
Repositorypower-platform-skills
Skill nameadd-datasource
Stars
895
Forks
182
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 microsoft on GitHub. Read the source before you install it.

Installation

Install the Add Datasource 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.
  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/microsoft/power-platform-skills.git /tmp/power-platform-skills
mkdir -p .claude/skills
cp -r /tmp/power-platform-skills/plugins/mobile-apps/skills/add-datasource .claude/skills/add-datasource
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Datasource 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 Add Datasource 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 Add Datasource 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.

📋 Shared instructions: shared-instructions.md — read first.

Add Data Source

Router skill that understands the user's goal and connects them to the right data source — without requiring them to know Power Platform terminology.

Workflow

Check Memory Bank

Check for memory-bank.md per shared-instructions.md.

Understand the Goal

  1. If $ARGUMENTS is provided or the caller already specified what's needed, use it directly and skip the question below.
  2. Otherwise, ask the user what they want their app to do — not which connector to use. Focus on the end goal. Example questions:
    • "What kind of data does your app need to work with?"
    • "What should your app be able to do? (e.g., search company info, manage tasks, send messages)"
  3. Based on their answer, recommend the best approach and explain why it's the right fit. The user shouldn't need to know the difference between Dataverse, SharePoint, or other connectors — that's our job.

Route to the Right Skill

Telemetry checkpoint: route_data_source_request

User's goalBest approachInvoke
Store and manage structured business data (custom tables, forms, CRUD)Dataverse is the platform's native database/add-dataverse
Invoke an existing Dataverse action/function/APIDiscover with Power Apps CLI find-dataverse-api; this plugin only adds Dataverse table CRUD/add-connector
Read lists, manage documents, integrate with SharePoint sitesSharePoint Online — dedicated skill with list creation support/add-sharepoint
Invoke an existing Power Automate cloud flowUse Power Apps CLI list-flows / add-flow support through the generic connector workflow/add-connector
Anything else — Teams messages, Excel data, OneDrive files, Office 365 email/calendar, Azure DevOps, Copilot Studio, custom connectorsGeneric connector (we'll figure out the right one)/add-connector

Note: Dedicated skills for Teams, Excel, OneDrive, Office 365, and Azure DevOps are planned for v1. Until then, /add-connector handles all of them — it covers every connector the platform supports and generates the same src/generated/ service layer.

Important routing rules:

  • When the user wants to perform actions (send an email, post a Teams message, create a file), route to /add-connector with the connector name as the argument (e.g., /add-connector office365, /add-connector teams).
  • When the user wants to invoke a cloud flow, route to /add-connector and tell it to use npx power-apps list-flows --json followed by npx power-apps add-flow --flow-id <flow-guid> --non-interactive from the app root.
  • When the user wants to invoke a Dataverse action/function/API rather than table CRUD, route to /add-connector and tell it to use npx power-apps find-dataverse-api --search '<operation-name>' --json; then stop and explain that this plugin only adds Dataverse table CRUD.
  • When the user wants to store or query structured business data with custom schema, route to /add-dataverse.
  1. If the user wants multiple capabilities, invoke each skill in sequence.

When the User Isn't Sure

If the user describes a vague goal (e.g., "I need data for my app"), guide them:

  1. Ask what their app does and who uses it
  2. Ask what data they need to display or interact with
  3. Recommend the simplest approach that meets their needs
  4. Explain the recommendation in plain language (avoid jargon like "connector", "Dataverse", "tabular data source" unless the user uses those terms first)

Frequently asked questions

What does the Add Datasource AI skill do?

Use when adding an unspecified data source to an Expo/React Native Power Apps mobile app; routes to Dataverse, SharePoint, or another connector.

Why use Add Datasource on TypingMind?

Because you install it once and use it with any model. Add Datasource 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 Add Datasource in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/power-platform-skills/tree/main/plugins/mobile-apps/skills/add-datasource. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Add Datasource?

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 Add Datasource?

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

Is the Add Datasource AI skill free?

Yes. It is published on GitHub by microsoft 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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