Manage Desktop Flows logo

Manage Desktop Flows

Organization
microsoft
manage-desktop-flows

Manage and run Power Automate Desktop (RPA) flows and machine groups. Use when the user asks about desktop flows, RPA, or machine groups.

Overview

Publishermicrosoft
Repositorypower-platform-skills
Skill namemanage-desktop-flows
Stars
993
Forks
204
Bundled files
Instructions only
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.

  • 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 Manage Desktop Flows 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/microsoft/power-platform-skills/tree/main/plugins/power-automate/skills/manage-desktop-flows
  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/power-automate/skills/manage-desktop-flows .claude/skills/manage-desktop-flows
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Manage Desktop Flows 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 Manage Desktop Flows 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 Manage Desktop Flows 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.

Desktop Flow Manager

Manage Power Automate Desktop (RPA) flows, machine groups, and run sessions.

Tools

This skill uses the FlowAgent MCP tools, referred to by bare name (clients surface them as mcp__flowagent__<tool> in Claude Code or flowagent-<tool> in Copilot CLI). If no MCP tools are present, the plugin is not wired up — run the setup skill.

ToolPurpose
list_desktop_flowsBrowse RPA flows (filter by name)
run_desktop_flowTrigger with optional machineGroup, body, timeout
list_machine_groupsBrowse machine infrastructure

Operations

List Desktop Flows

Call list_desktop_flows. Present in table: Name | Status | Created | Modified

Run Desktop Flow

  1. Call list_desktop_flows to find the flow (if name given, use name filter)
  2. Optionally call list_machine_groups to target a specific group
  3. Call run_desktop_flow with optional machineGroup, body (input data), timeout
  4. Report: session status (Waiting/InProgress/Failed/Cancelled/Succeeded), outputs

Machine Infrastructure

Call list_machine_groups. Present: Name | Type | Status | Machines

Frequently asked questions

What does the Manage Desktop Flows AI skill do?

Manage and run Power Automate Desktop (RPA) flows and machine groups. Use when the user asks about desktop flows, RPA, or machine groups.

Why use Manage Desktop Flows on TypingMind?

Because you install it once and use it with any model. Manage Desktop Flows 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 Manage Desktop Flows in TypingMind?

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

Which AI models can use Manage Desktop Flows?

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 Manage Desktop Flows?

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

Is the Manage Desktop Flows 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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