dataverse
Agent skills for building on, analyzing, and managing Microsoft Dataverse — with Dataverse MCP, PAC CLI, and Python SDK.
Summary
This skill equips Claude Code with tools to build, analyze, and manage Microsoft Dataverse environments.
- It leverages the Dataverse MCP server, PAC CLI, and Python SDK to automate data operations, schema management, and solution deployment, making it essential for Power Platform developers and data engineers.
Install & Usage
mkdir -p .claude/skillsmkdir -p .claude/skills && curl -o .claude/skills/dataverse.md https://raw.githubusercontent.com/microsoft/Dataverse-skills/main/SKILL.md/dataverseUse Cases
Usage Examples
/dataverse list tables in the current environment
Fetch all accounts with a revenue over $1M from Dataverse and summarize them
/dataverse export solution named 'MySolution' to a zip file
Security Audits
Frequently Asked Questions
What is dataverse?
This skill equips Claude Code with tools to build, analyze, and manage Microsoft Dataverse environments. It leverages the Dataverse MCP server, PAC CLI, and Python SDK to automate data operations, schema management, and solution deployment, making it essential for Power Platform developers and data engineers.
How to install dataverse?
To install dataverse: create the skills directory (mkdir -p .claude/skills), then run: mkdir -p .claude/skills && curl -o .claude/skills/dataverse.md https://raw.githubusercontent.com/microsoft/Dataverse-skills/main/SKILL.md. Finally, /dataverse in Claude Code.
What is dataverse best for?
dataverse is a skill categorized under Data & Analytics. It is designed for: mcp, agent, python. Created by Anthropic.
What can I use dataverse for?
dataverse is useful for: Query Dataverse tables and retrieve records using natural language requests.; Create, update, or delete Dataverse table schemas and columns programmatically.; Export and import Dataverse solutions for CI/CD pipelines and environment management.; Analyze Dataverse data with Python SDK to generate reports or detect anomalies.; Automate bulk data operations like upserting records from external sources.; Manage Dataverse environment settings, such as auditing and plug-in registration..