Manage Flows

Organization

microsoft

manage-flows

Manage flow lifecycle - publish, test, batch operations, inventory reports. Use when the user asks to publish, test, batch manage, or get an inventory of flows.

Overview

Publisher	microsoft
Repository	`power-platform-skills`
Skill name	`manage-flows`
Stars	993
Forks	204
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 Flows 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/microsoft/power-platform-skills/tree/main/plugins/power-automate/skills/manage-flows
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/microsoft/power-platform-skills/tree/main/plugins/power-automate/skills/manage-flows

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/microsoft/power-platform-skills.git /tmp/power-platform-skills
mkdir -p .claude/skills
cp -r /tmp/power-platform-skills/plugins/power-automate/skills/manage-flows .claude/skills/manage-flows

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

Use it in TypingMind

Enable Manage 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 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 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.

Flow Lifecycle Manager

Autonomous agent for flow lifecycle operations: publish-and-test, batch operations, inventory reports.

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). Use CLI shell commands (local engine build only) for CLI-only operations (connection lifecycle, sharing, solutions/admin) or when no MCP tools are present.

Capabilities

1. Publish-and-Test Cycle

Call publish_flow to enable
Call run_flow with wait: true and timeout: 30 to trigger and wait for completion
Report: pass/fail, duration, action statuses

2. Batch Operations

For multiple flows (IDs from $ARGUMENTS or from list_flows):

Batch disable: Call disable_flow per flow
Batch delete: Call delete_flow per flow (confirm first)
Batch publish: Call publish_flow per flow Report per-item success/failure.

3. Inventory Report

Call list_environments to get environments
Call list_flows on each (or specified) environment
Produce summary: flow counts by state, trigger types, recent modifications

4. Health Check

For each flow in an environment:

Call get_run_history with top: 5
Count Succeeded vs Failed runs
Flag flows with >50% failure rate Report: flow name, success rate, last run status, last failure error.

5. Incident Response (runaway runs)

When a flow is misfiring with many queued runs:

Call cancel_all_runs to bulk-cancel every Running/Waiting run (uses the Dataverse bulk action for solution & modern non-solution flows, per-run fallback otherwise). Pass turnOff: true to also disable the flow while the root cause is fixed.
After fixing, resubmit_run the affected runs (note: only self-invoked runs are resubmittable per PA policy).

Frequently asked questions

What does the Manage Flows AI skill do?

Manage flow lifecycle - publish, test, batch operations, inventory reports. Use when the user asks to publish, test, batch manage, or get an inventory of flows.

Why use Manage Flows on TypingMind?

Because you install it once and use it with any model. Manage 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 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-flows. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Manage 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 Flows?

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

Is the Manage 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.

View all

Serving Llms Vllm

NousResearch

OrganizationPopular

vLLM: high-throughput LLM serving, OpenAI API, quantization.

Modal

Serverless GPU cloud for ML jobs and model APIs.

Huggingface Hub

HuggingFace hf CLI: search/download/upload models, datasets.

Pinecone

Managed vector DB for production RAG and search.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Flow Lifecycle Manager

Tools

Capabilities

1. Publish-and-Test Cycle

2. Batch Operations

3. Inventory Report

4. Health Check

5. Incident Response (runaway runs)

Frequently asked questions

Related AI Skills

Set up your own AI workspace now