Add Sharepoint logo

Add Sharepoint

Organization
microsoft
add-sharepoint

Adds SharePoint Online connector to a Power Apps code app. Use when reading lists, managing documents, or integrating with SharePoint sites. Can also create new SharePoint lists.

Overview

Publishermicrosoft
Repositorypower-platform-skills
Skill nameadd-sharepoint
Stars
895
Forks
182
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Add Sharepoint 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/code-apps/skills/add-sharepoint .claude/skills/add-sharepoint
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Sharepoint 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 Sharepoint 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 Sharepoint 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 - Cross-cutting concerns.

References:

Add SharePoint

Two paths: existing lists (skip to Step 6) or new lists (full workflow).

Workflow

  1. Check Memory Bank → 2. Plan → 3. Setup Graph API Auth → 4. Review Existing Lists → 5. Create Lists → 6. Get Connection ID → 7. Discover Sites → 8. Discover Tables → 9. Add Connector → 10. Configure → 11. Build → 12. Update Memory Bank

Step 1: Check Memory Bank

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

Step 2: Plan

Ask the user:

  1. Which SharePoint list(s) do they need?
  2. Do the lists already exist on their site, or do they need to create new ones?

If lists already exist: Skip to Step 6.

If creating new lists:

  • Ask about the data they need and design an appropriate schema
  • Reuse existing lists when possible (don't duplicate)
  • Enter plan mode with EnterPlanMode, present the list designs with columns and types
  • Get approval with ExitPlanMode

Step 3: Setup Graph API Auth (if creating lists)

See api-authentication-reference.md for full details.

powershell
az account show   # Verify Azure CLI logged in

$api = Initialize-SharePointGraphApi -SiteUrl "https://<tenant>.sharepoint.com/sites/<site-name>"
$headers = $api.Headers
$siteId = $api.SiteId

Requires Sites.Manage.All permission.

Step 4: Review Existing Lists (if creating lists)

Always query existing lists first before creating:

powershell
$existingLists = Invoke-RestMethod -Uri "https://graph.microsoft.com/v1.0/sites/$siteId/lists?`$select=id,displayName,description,list&`$filter=list/hidden eq false" -Headers $headers

See list-management-reference.md for Find-SimilarLists, Compare-ListSchemas, and Get-ListSchema functions.

Present findings to user with AskUserQuestion:

  • Lists that can be reused (already exist with matching columns)
  • Lists that need extension (exist but missing columns)
  • Lists that must be created (no match found)

Step 5: Create Lists (if creating lists)

Get explicit confirmation before creating. Use safe functions from list-management-reference.md:

  • New-SharePointListIfNotExists
  • Add-SharePointColumnIfNotExists
  • Add-SharePointLookupColumn (for cross-list references)

Step 6: Get Connection ID

Find the SharePoint Online connection ID (see connector-reference.md):

Run the /list-connections skill. Find the SharePoint Online connection in the output. If none exists, direct the user to create one using the environment-specific Connections URL — construct it from the active environment ID in context (from power.config.json or a prior step): https://make.powerapps.com/environments/<environment-id>/connections+ New connection → search for the connector → Create.

Step 7: Discover Sites

List available SharePoint sites the user has access to:

bash
pa connector list-datasets --connector sharepointonline -c <connection-id>

Present the sites to the user and ask which one(s) they want to connect to. If the user already specified a site URL, confirm it appears in the list.

If pa connector list-datasets fails or returns no results:

  • Auth error: Run pa auth logout (or power-apps logout on power-apps-only projects), then retry — the CLI will re-prompt browser login.
  • Empty list: Confirm the connection ID is for a SharePoint Online connection and the user has access to at least one site. STOP if the list is empty after confirming.
  • Any other non-zero exit: Report the exact error output. STOP.

Step 8: Discover Tables

For each selected site, list the available lists and document libraries:

bash
pa connector list-tables --connector sharepointonline -c <connection-id> -d '<site-url>'

If pa connector list-tables fails or returns no results:

  • Confirm the site URL from Step 7 is exact (copy from the output — do not retype).
  • If still empty, the user may not have access to that site's lists. Ask them to verify permissions in SharePoint.
  • Any other non-zero exit: Report the exact error output. STOP.

Present the tables to the user and ask which ones they want to add. Suggest tables that look relevant to their use case (based on memory bank context or the user's stated requirements). If lists were created in Step 5, they should appear here.

Step 9: Add Connector

SharePoint is a tabular datasource -- requires -c (connection ID), -d (site URL), and --table (list name):

bash
pa app add data-source --connector sharepointonline -c <connection-id> -d '<site-url>' --table '<table-name>'

Run the command for each list or library the user selected. The -d (dataset) is the SharePoint site URL from Step 7, --table is the list/library name from Step 8.

Step 10: Configure

Read sharepoint-reference.md before writing any SharePoint code -- column encoding, choice fields, and lookups have critical gotchas.

Common operations:

typescript
// Get items from a SharePoint list
const items = await SharePointOnlineService.GetItems({
  dataset: "https://contoso.sharepoint.com/sites/your-site",
  table: "Your List Name"
});

// Create a new list item
await SharePointOnlineService.PostItem({
  dataset: "https://contoso.sharepoint.com/sites/your-site",
  table: "Your List Name",
  item: {
    Title: "New Item",
    Description: "Item description",
    Status: "Active"
  }
});

// Get files from a document library
const files = await SharePointOnlineService.ListFolder({
  dataset: "https://contoso.sharepoint.com/sites/your-site",
  id: "Shared Documents" // Library name or folder ID
});

// Get file content
const content = await SharePointOnlineService.GetFileContent({
  dataset: "https://contoso.sharepoint.com/sites/your-site",
  id: "file-server-relative-url"
});

Key points:

  • dataset is always the full SharePoint site URL
  • table is the list display name for list operations
  • List column names in the API may differ from display names (spaces become _x0020_, special chars encoded)
  • Document library operations use folder/file IDs or server-relative URLs
  • Choice columns use string values, not integer picklist codes (unlike Dataverse)

Use Grep to find specific methods in src/generated/services/SharePointOnlineService.ts (generated files can be very large -- see connector-reference.md).

Step 11: Build

bash
npm run build

Fix TypeScript errors before proceeding. Do NOT deploy yet.

Step 12: Update Memory Bank

Update memory-bank.md with: connector added, site URL, lists/libraries configured (or created), build status.

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 Add Sharepoint AI skill do?

Adds SharePoint Online connector to a Power Apps code app. Use when reading lists, managing documents, or integrating with SharePoint sites. Can also create new SharePoint lists.

Why use Add Sharepoint on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/power-platform-skills/tree/main/plugins/code-apps/skills/add-sharepoint. 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 Add Sharepoint?

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 Sharepoint?

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

Is the Add Sharepoint 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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