DemoGPT
🥇GoldDemoGPT is a comprehensive platform for creating LLM agents, offering a suite of tools, prompts, frameworks, and models. Ideal for developers and AI enthusiasts looking to streamline the agent creation process with cutting-edge technology.
1,8882230Updated 2w ago
Intermediate15 minutes to implementai-agents
Saves ~240 min per use
Quick InstallView Source
claude install melih-unsal/DemoGPTWorks with:
ChatGPTClaude
Overview
About This Skill
https://docs.demogpt.io
Use Cases
Create customized AI chatbots tailored to specific business needs.
Automate customer support interactions to improve response times and efficiency.
Develop intelligent virtual assistants that can assist users in various tasks.
Build interactive demos showcasing AI capabilities for presentations and marketing.
Best For
GrowthRevOpsMarketing
Tags
Setup & Installation
Quick Install
Terminal
claude install melih-unsal/DemoGPTAlternative Install (Git Clone)
git clone https://github.com/melih-unsal/DemoGPTRequirements
- Claude Code or compatible AI agent
- Works with: ChatGPT, Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Create a detailed demo for a new AI agent using DemoGPT. The agent should be designed for [COMPANY] in the [INDUSTRY] sector. Include the following features: [FEATURE1], [FEATURE2], and [FEATURE3]. Provide a step-by-step guide on how to implement and deploy this agent using DemoGPT's tools and frameworks.
Example Output
# AI Agent Demo for GreenTech Solutions ## Overview This demo outlines the creation of an AI agent for GreenTech Solutions, a company in the renewable energy sector. The agent is designed to streamline project management, optimize resource allocation, and provide real-time data analysis. ## Features - **Project Management**: Automates task assignment and progress tracking. - **Resource Allocation**: Optimizes the use of human and material resources. - **Real-Time Data Analysis**: Provides insights into project performance and potential bottlenecks. ## Implementation Steps 1. **Set Up the Environment**: Use DemoGPT's environment setup tools to configure the necessary infrastructure. 2. **Define the Agent's Objectives**: Clearly outline the goals and functionalities of the agent. 3. **Integrate Data Sources**: Connect the agent to relevant data sources such as project management software and resource databases. 4. **Develop the Agent**: Utilize DemoGPT's frameworks to build the agent, ensuring it can handle the specified features. 5. **Test and Deploy**: Conduct thorough testing to ensure the agent performs as expected and deploy it to the production environment. ## Expected Outcomes - Increased efficiency in project management. - Better resource utilization leading to cost savings. - Enhanced decision-making through real-time data analysis.
