core

🥇Gold

Core is a powerful framework designed for building AI Native IDE products quickly. It supports Model Context Protocol (MCP) tools through its MCP Client and Server, making it an essential tool for developers looking to integrate AI capabilities into their applications.

3,6184450Updated 1w ago

Intermediate15 minutes to implementdevelopment

Saves ~360 min per use

Quick InstallView Source

claude install opensumi/core

Works with:

VS CodeGitHub Copilot

Overview

About This Skill

https://opensumi.com

How to Use

["1. **Understand the Project Requirements**: Before starting, make sure you understand the project requirements and the features that need to be implemented.\n\n2. **Set Up the Development Environment**: Follow the step-by-step guide provided in the example output to set up your development environment. This might involve installing necessary software, setting up the database, and configuring the server.\n\n3. **Initialize the Project**: Use the command `core init [PROJECT_NAME]` to initialize a new project using the Core framework.\n\n4. **Integrate MCP Tools**: Use the command `core mcp integrate` to integrate the MCP tools into your project. This will set up the necessary configurations and dependencies for MCP tools.\n\n5. **Implement Features**: Implement the features listed in [FEATURE_LIST]. Use the MCP Client to connect to the AI model and implement the necessary functionalities.\n\n6. **Integrate with Existing Systems**: Ensure the project integrates seamlessly with [EXISTING_SYSTEMS]. This might involve setting up APIs or using the MCP Server to connect to external systems.\n\n7. **Test the Project**: Finally, test the project to ensure it works as expected. This might involve running unit tests, integration tests, and user acceptance tests.","Tip: Make sure to regularly save your work and backup your project to avoid losing any progress.","Tip: If you encounter any issues, refer to the Core documentation or seek help from the Core community."]

Use Cases

Quickly build AI-driven IDEs that enhance coding efficiency.

Integrate MCP tools into existing applications for improved functionality.

Create custom development environments tailored to specific project needs.

Enhance code editing experiences with AI-powered features like auto-completion and error detection.

Best For

GrowthDevelopment

Setup & Installation

Quick Install

Terminal

claude install opensumi/core

Alternative Install (Git Clone)

git clone https://github.com/opensumi/core

Requirements

Claude Code or compatible AI agent
Works with: VS Code, GitHub Copilot

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Using Core's Model Context Protocol (MCP) tools, create a new AI Native IDE project for [PROJECT_NAME]. Implement the following features: [FEATURE_LIST]. Ensure the project integrates seamlessly with [EXISTING_SYSTEMS]. Provide a step-by-step guide for setting up the development environment and initial configuration.

Example Output

To create a new AI Native IDE project using Core's Model Context Protocol (MCP) tools, follow these steps:

1. **Initialize the Project**: Start by initializing a new project using the Core framework. This involves setting up the basic structure and configuring the necessary dependencies. The command to initialize a new project is `core init [PROJECT_NAME]`.

2. **Integrate MCP Tools**: Next, integrate the MCP tools into your project. This involves setting up the MCP Client and Server. The command to integrate MCP tools is `core mcp integrate`. This will set up the necessary configurations and dependencies for MCP tools.

3. **Implement Features**: Implement the features listed in [FEATURE_LIST]. For example, if one of the features is 'AI-powered code completion', you would use the MCP Client to connect to the AI model and implement the code completion functionality.

4. **Integrate with Existing Systems**: Ensure the project integrates seamlessly with [EXISTING_SYSTEMS]. This might involve setting up APIs or using the MCP Server to connect to external systems.

5. **Set Up Development Environment**: Provide a step-by-step guide for setting up the development environment. This might include installing necessary software, setting up the database, and configuring the server.

6. **Initial Configuration**: Finally, perform the initial configuration of the project. This might involve setting up user roles, permissions, and initial data.

By following these steps, you will have a fully functional AI Native IDE project using Core's MCP tools.