DuckCoding

🥈Silver

DuckCoding is a cross-platform desktop app that simplifies the setup and management of AI coding tools like Claude Code, CodeX, and Gemini CLI. It benefits developers and operations teams by streamlining workflows and reducing configuration time. The app connects to popular AI coding assistants, enabling faster integration into development environments.

138110Updated Today

Intermediate30min to implementautomation

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/DuckCoding-dev/DuckCoding.git

Works with:

Claude

Overview

About This Skill

How to Use

[{"step":"Install DuckCoding from the official website or package manager (e.g., `brew install duckcoding` for macOS or `choco install duckcoding` for Windows).","tip":"Ensure your system meets the minimum requirements for the AI tool you plan to use (e.g., Python 3.10+ for Claude Code)."},{"step":"Open DuckCoding and select the AI tool you want to set up (e.g., Claude Code, CodeX, or Gemini CLI) from the dropdown menu.","tip":"If you're unsure which tool to choose, DuckCoding provides a comparison guide based on your project type (e.g., Python projects work best with Claude Code, while frontend projects may prefer CodeX)."},{"step":"Configure the tool settings in the DuckCoding UI. Enter your API key, select the default model, and specify the project root directory. Enable/disable linters and formatters as needed.","tip":"Use the 'Test Connection' button to verify the API key and tool installation before proceeding."},{"step":"Click 'Initialize Project' and select the project type (e.g., Python Flask, React, Node.js). DuckCoding will automatically set up the project structure and install dependencies.","tip":"For existing projects, use the 'Import Existing Project' option to migrate settings from a previous configuration."},{"step":"Run a test command (e.g., `duckcoding verify`) to confirm the setup is complete. Start coding by invoking the AI tool directly from your terminal or IDE.","tip":"Save the project configuration file (`.duckcoding/config.json`) to your project's Git repository so your team can replicate the setup effortlessly."}]

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/DuckCoding-dev/DuckCoding

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

Use DuckCoding to set up [AI_TOOL_NAME] (e.g., Claude Code, CodeX, or Gemini CLI) for [PROJECT_NAME] in [PLATFORM/OS]. Configure the tool with [SPECIFIC_SETTINGS] and initialize a [PROJECT_TYPE] project (e.g., Python Flask, React, or Node.js). Verify the setup by running a test command like [TEST_COMMAND] and confirm the tool is ready for [DEVELOPMENT_TASK].

Example Output

DuckCoding successfully configured **Gemini CLI** for the **E-Commerce Analytics Dashboard** project on **Windows 11**. The tool was set up with the following settings:
- API key: `AIzaSyD1...` (masked for security)
- Default model: `gemini-1.5-pro-latest`
- Project root: `C:\dev\ecom-analytics`
- Linter: `ESLint`
- Formatter: `Prettier`

A **React** project was initialized with TypeScript, and DuckCoding automatically installed the required dependencies (`react`, `react-dom`, `@types/react`, etc.). The setup was verified by running `gemini --check` in the terminal, which confirmed the tool was ready for development. A sample prompt was tested: `Analyze the performance bottlenecks in the `/src/components/Chart.tsx` file and suggest optimizations.` The tool returned a detailed response with code refactoring suggestions and performance metrics.

Next steps: DuckCoding generated a `.duckcoding/config.json` file with the project-specific settings, which can be shared with the team via Git. The team lead can now clone the repo, run `duckcoding init`, and start coding immediately without manual setup.