ai-builder-prompt

Name: ai-builder-prompt
Availability: InStock
Author: kazuya0628

Create and publish GPT Dynamic Prompts in Dataverse as Copilot Studio tools.

Updated Apr 24, 2026

Search Tags:#automation #prompt-engineering #ai-prompt #dataverse #copilot-studio #ai-builder

Ready to run

npx skills add https://github.com/Kazuya0628/Quotation-Work-Automation-System --skill ai-builder-prompt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-builder-prompt
Source: https://github.com/Kazuya0628/Quotation-Work-Automation-System/tree/main/.github/skills/ai-builder-prompt
Command: npx skills add https://github.com/Kazuya0628/Quotation-Work-Automation-System --skill ai-builder-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, python-dotenv, and includes scripts (resource) and references (resource) components.

What problem does it solve?

AI Builder prompts often require custom orchestration to be deployed and reused across Copilot Studio; this skill provides a streamlined process to create a GPT Dynamic Prompt in Dataverse and expose it as a tool (action) for Copilot Studio agents, enabling dynamic AI-driven workflows.

Core Features & Use Cases

Create GPT Dynamic Prompts in Dataverse
Expose as tools/actions to Copilot Studio agents
End-to-end deployment workflow including Training and Run configurations and botcomponent integration

Quick Start

Run the deploy_ai_prompt.py script to build and publish a GPT Dynamic Prompt as a Copilot Studio tool.

Frequently Asked Questions about ai-builder-prompt

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

FAQPage Schema

How do I expose an AI Builder prompt as a tool in Copilot Studio?▼

To deploy a GPT Dynamic Prompt in Dataverse, you run a Python script that applies a structured workflow including fixed templates, training configurations, and solution containment checks to publish the prompt as a Copilot Studio tool.

What is the deployment workflow for creating GPT Dynamic Prompts in Dataverse?▼

The deployment workflow for GPT Dynamic Prompts in Dataverse involves applying a fixed template, setting training and run configurations, integrating botcomponents, and enforcing solution containment checks before publishing to Copilot Studio.

Can I use Python scripts to automate AI Builder prompt deployment to Copilot Studio agents?▼

Yes, you can automate AI Builder prompt deployment using Python scripts. The workflow uses Python dependencies like requests and python-dotenv to build and publish GPT Dynamic Prompts as Copilot Studio tools.

Do I need Dataverse solution containment checks to publish Copilot Studio tools?▼

Yes, Dataverse solution containment checks are required to publish Copilot Studio tools. The deployment workflow enforces these checks alongside botcomponent integration to ensure the GPT Dynamic Prompt is correctly contained.

What are the limitations of using fixed templates for Copilot Studio agent prompts?▼

The limitation of using fixed templates for Copilot Studio agent prompts is that the GPT Dynamic Prompt deployment enforces a strict structure. This requires specific training and run configurations, limiting free-form prompt orchestration.

What's the best way to integrate GPT Dynamic Prompts with Copilot Studio agents across various workflows?▼

The best way to integrate GPT Dynamic Prompts with Copilot Studio agents is using a structured deployment workflow. This approach creates the prompt in Dataverse, applies training configurations, and exposes it as a reusable botcomponent action.