Easy-skills is a desktop app that automates the installation of Claude Code and manages skill packages. It benefits developers and operations teams by streamlining the setup process and integrating with existing workflows.
git clone https://github.com/comeonzhj/easy-skills.gitEasy-skills is a desktop application that streamlines the installation and configuration of Claude Code while managing skill packages for developers and operations teams. The tool automates environment detection, dependency installation, and npm configuration, with built-in support for domestic network environments. It provides model configuration capabilities including API Key setup, custom model endpoints, and model provider selection. Users can import skills from folders or ZIP packages, choose between project-level or global installation directories, and view installation history. Available on macOS, Windows, and Linux, easy-skills eliminates manual setup steps and integrates skill management into existing workflows.
["Open the easy-skills desktop app and navigate to the 'Skills' tab.","Search for the desired skill using the search bar or browse the available categories.","Click 'Install' and specify any custom configurations in the popup window (e.g., API keys, timeout settings).","Wait for the installation to complete and verify the process by running the provided test command in your terminal.","Integrate the skill into your workflow by referencing it in your project's configuration files or scripts."]
Automating Claude Code installation across development teams
Managing multiple skill packages in project and global directories
Configuring API keys and custom model endpoints for AI workflows
Streamlining skill imports from ZIP files or local folders
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/comeonzhj/easy-skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use easy-skills to automate the installation of [SKILL_NAME] for [TEAM/PROJECT]. Ensure all dependencies are resolved and the skill is configured with [SPECIFIC_SETTINGS]. Verify the installation by running a quick test command like [TEST_COMMAND].
Installation completed successfully for the 'data-validation' skill in the 'analytics-pipeline' project. Dependencies resolved: pandas==2.1.4, numpy==1.26.2, and scikit-learn==1.3.2. Configuration set with default validation rules and a 5-second timeout for API calls. Test command 'validate --sample data/sample.csv' executed without errors, confirming the skill is ready for use. The skill is now available in the project's skill registry and can be invoked via the easy-skills CLI.
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