claude-code-plus

🥈Silver

Claude Code Plus is a GUI plugin for JetBrains IDEs that integrates Claude Code, Codex CLI, and Gemini CLI. It provides a visual interface for AI coding assistants, benefiting developers by streamlining code generation, debugging, and optimization tasks. The plugin connects to JetBrains IDEs, enhancing productivity for software development teams.

128160Updated Today

Intermediate30min to implementautomation

Saves ~90 min per use

Quick InstallView Source

git clone https://github.com/touwaeriol/claude-code-plus.git

Works with:

Claude

Overview

About This Skill

The claude-code-plus skill is a powerful GUI plugin designed for Claude Code, Codex CLI, and Gemini CLI within JetBrains IDEs. This skill provides a visually appealing interface that allows developers to run AI coding assistants seamlessly. By integrating this plugin into your development environment, you can leverage AI automation to enhance your coding efficiency and streamline your workflow. The skill is particularly beneficial for those who prefer a more intuitive approach to coding with AI, making it easier to access and utilize advanced features without navigating complex command-line interfaces. One of the key benefits of using claude-code-plus is the potential for significant time savings in coding tasks. While the exact time savings are currently unknown, the intermediate complexity of the skill suggests that developers can expect to reduce the time spent on repetitive coding tasks. This skill is ideal for developers, product managers, and AI practitioners who are looking to integrate AI automation into their projects, thereby enhancing productivity and accelerating development cycles. By adopting this skill, teams can focus on higher-level problem-solving rather than getting bogged down by routine coding chores. The claude-code-plus skill is particularly suited for intermediate users who are familiar with JetBrains IDEs and are looking to enhance their coding capabilities with AI. It is a valuable addition to the toolkit of software engineers and product managers who are engaged in AI-driven projects. For example, a developer working on a data engineering project could use this skill to automate data processing scripts, while a product manager might utilize it to streamline feature development and testing workflows. Implementing the claude-code-plus skill requires approximately 30 minutes, making it a manageable addition to existing workflows. Given its integration into JetBrains IDEs, it fits perfectly into AI-first workflows, allowing teams to adopt AI automation without disrupting their established processes. By utilizing this skill, organizations can foster a more innovative and efficient development environment, ultimately driving better project outcomes.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/touwaeriol/claude-code-plus

Requirements

Claude Code or compatible AI agent
Works with: Claude

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 the Claude Code Plus plugin in IntelliJ IDEA, analyze the codebase for [PROJECT_NAME]. Identify [NUMBER] potential optimizations for [SPECIFIC_CODE_TYPE] files. Provide a summary of the changes and generate the specific code refactors needed. Include performance impact estimates for each suggestion.

Example Output

After analyzing the codebase for 'E-Commerce Platform' project, I've identified 5 optimization opportunities for the payment processing module. 1. The checkout service can be optimized by implementing a more efficient payment validation algorithm. This would reduce validation time by approximately 30% by eliminating redundant checks. Here's the refactored code: [code snippet]. 2. The transaction logging system can be improved by implementing batch writes instead of individual writes. This would reduce database load by about 40%. Here's the implementation: [code snippet]. 3. The payment gateway integration can be enhanced by implementing connection pooling. This would improve response times by about 25%. Here's the implementation: [code snippet]. 4. The refund processing can be streamlined by implementing a more efficient state machine pattern. This would reduce processing time by about 35%. Here's the implementation: [code snippet]. 5. The payment failure handling can be improved by implementing a more robust retry mechanism. This would reduce failed transactions by about 20%. Here's the implementation: [code snippet].