If you’ve ever spent an afternoon clicking through the Power Platform Admin Center to apply the same setting across a dozen Dataverse environments, you’ll understand the frustration. Microsoft has now addressed exactly that pain point with the public preview launch of Dataverse Admin Skills — a capability that brings natural language administration to your coding tool, whether that’s GitHub Copilot or Claude Code.

The Admin Bottleneck Problem

Picture this: your security team requests that auditing be enabled across all 20 of your Dataverse environments — today. Without automation, that means 20 separate logins, 20 sets of clicks, and 20 opportunities for human error. Alternatively, you put in a request to a developer to write a bulk script — and wait.

This is the exact gap Dataverse Admin Skills is designed to close. Instead of navigating admin consoles or waiting on scripts, you simply describe what you want in plain English, and the agent handles the rest.

How It Works

Dataverse Admin Skills operates through two complementary paths:

• Natural Language (Agentic) Path: Using the Dataverse Skills Plugin inside GitHub Copilot or Claude Code, you describe your intent in plain English. The plugin translates your request into the appropriate PAC CLI commands, executes them against the Dataverse Web API, and gives you a clear summary of what changed. It supports multi-environment parallel execution and enforces built-in safety guardrails — including confirmation prompts before any destructive actions.
• Direct Scripting Path: The same PAC CLI commands powering the agentic experience are available for use in Bash, PowerShell, or SDK scripts. This makes it ideal for CI/CD pipelines, runbooks, and repeatable automation workflows.

Both paths rely on PAC CLI (v2.6+, .NET Framework) and the Dataverse Web API, ensuring a consistent and trusted execution layer.

A Real Example

Say you type: “Enable AllowMCP setting on all environments starting with Preprod.”

Here’s what happens behind the scenes:

1. The agent lists your Dataverse environments.
2. It filters for environments matching your criteria.
3. It asks you to confirm the target list before making any changes.
4. It updates each environment in parallel.
5. It presents a summary table of every change made.

One sentence. No browser tabs opened. No scripts written.

What’s Available Right Now

• Settings Management: Read and update 37 allowlisted PPAC toggles across environments — covering MCP, audit, retention, recycle bin, search, Microsoft Fabric integration, security, and more. Works on a single environment or in bulk with parallel execution.
• Bulk Delete: Schedule, monitor, pause, resume, and cancel bulk delete jobs. Safety is built in — confirmation prompts, FetchXML validation, and warnings for system tables help prevent accidental data loss.
• Long-Term Retention: Enable retention on entities, set archival criteria using FetchXML, and track retention jobs. Particularly valuable for compliance scenarios where data needs to be retained but not kept in active storage.
• Capacity Management (Coming Soon): Storage breakdowns, growth trends, capacity alerts, and archival recommendations — all accessible from your coding tool.

Getting Started in Three Steps

Step 1: Install the Plugin

• In GitHub Copilot (VS Code): /plugin install dataverse@awesome-copilot
• In Claude Code: /plugin install dataverse@claude-plugins-official

Step 2: Connect Your Environments

Open your coding tool and ask: “List all my Dataverse environments.” The agent will install PAC CLI if needed, authenticate you, and return your environment list. If anything is missing, it walks you through setup.

Step 3: Try It Out

Here are some prompts to get started:

• “Enable the Microsoft Fabric integration on all production environments.”
• “What is the recycle bin retention period for my sandbox environment?”
• “Disable Dataverse search across all environments in the Europe region.”
• “Cancel all system jobs that have been stuck in a waiting state since yesterday.”
• “Set the long-term retention criteria for the custom log table to archive records older than 2 years.”

Why This Matters

Dataverse Admin Skills represents a meaningful shift in how platform administrators interact with their environments. Rather than being constrained by what a UI exposes or waiting for a developer to write automation scripts, admins can now express intent directly — and act on it at scale. The safety guardrails (allowlists, confirmation prompts, parallel execution controls) mean this power comes without sacrificing governance.

This is currently a public preview release, with Microsoft actively refining and expanding the skill set. Now is a great time to explore what it can do.

Original article: Agentic Administration: Dataverse Admin Skills now available in Public Preview by Anirudha Bakore, Microsoft.