ai-builder

Automate document processing and GPT-driven actions within Power Platform workflows.

46|6|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/korchard333/claude-power-platform-community --skill ai-builder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-builder
Source: https://github.com/korchard333/claude-power-platform-community/tree/main/.claude/skills/ai-builder
Command: npx skills add https://github.com/korchard333/claude-power-platform-community --skill ai-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI Builder enables low-code teams to integrate AI capabilities into Power Platform flows, Canvas apps, and Dataverse, reducing manual data processing and accelerating insights.

Core Features & Use Cases

  • Document processing: extract structured data from PDFs, invoices, receipts, and forms.
  • GPT prompts and predictions: build custom prompts and model-driven insights for flows and apps.
  • End-to-end automation: route items, classify content, and trigger actions based on model outputs.

Quick Start

Open your Power Platform project, add the ai-builder skill, and start by choosing a model type to automate flows and Canvas Apps.

Frequently Asked Questions about ai-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract data from PDFs and invoices using Power Automate?

Extract structured data from PDFs and invoices in Power Automate by adding the AI Builder action to your flow. This document processing capability parses unstructured content and returns fields for downstream automation.

Can I use GPT prompts within Canvas Apps to classify content?

Yes, you can use custom GPT prompts within Canvas Apps to classify content and interpret text. AI Builder integrates GPT-driven actions directly into your app logic, enabling automated routing based on model outputs.

Do I need AI Builder credits to deploy custom prediction models in Dataverse?

Yes, deploying custom prediction models in Dataverse requires AI Builder credits or licenses. You also need access to the relevant Dataverse data to properly train and deploy the models for your workflows.

What is the best way to automate end-to-end document processing in Power Platform?

The best way to automate end-to-end document processing in Power Platform is using AI Builder. It integrates extraction, prediction, and GPT-driven actions to route items, classify content, and trigger actions across Dataverse and Power Automate.

Does AI Builder support sentiment analysis for low-code teams?

Yes, AI Builder supports sentiment analysis for low-code teams. It provides model-driven insights that reduce manual data processing and accelerate insights directly within your Power Platform flows and Canvas apps.