This repository provides a comprehensive collection of agentic skills, commands, and plugins designed to augment AI assistants like Claude Code for various design tasks. It targets designers, researchers, and engineers needing to integrate AI into their design workflows, offering structured knowledge and actionable commands to streamline processes from initial research to final delivery.

How It Works

The project organizes design knowledge into "skills" (domain-specific information units) and "commands" (actionable workflows that chain skills). These are bundled into eight distinct plugins covering key design disciplines: research, systems, strategy, UI, interaction, prototyping/testing, ops, and a general toolkit. This modular approach allows users to install only the functionalities they need, enhancing the AI's capabilities within specific design contexts.

Quick Start & Requirements

To get started, users must first add the plugin marketplace within Claude Code by running /plugin marketplace add Owl-Listener/designer-skills. Subsequently, individual plugins can be discovered and installed via the /plugin command within Claude Code's Discover tab. The primary requirement is an active Claude Code environment.

Highlighted Details

• Encompasses 63 skills and 27 commands across 8 specialized design plugins.
• Covers the full design lifecycle, from user research (personas, interviews) and strategy (competitive analysis) to UI/interaction design, prototyping, design systems, and design operations.
• Features pre-defined commands for complex tasks such as running a full user research discovery cycle (/design-research:discover), auditing a design system (/design-systems:audit-system), or generating a complete screen layout (/ui-design:design-screen).

Maintenance & Community

Guidelines for contributing new skills, commands, or plugins are available in the CONTRIBUTING.md file. No other community channels or specific contributor details are provided in the README.

Licensing & Compatibility

The project is licensed under the MIT license. This permissive license generally allows for commercial use and integration into closed-source projects without significant restrictions.

Limitations & Caveats

The functionality is entirely dependent on integration with the Claude Code environment, limiting its direct use outside of that specific platform. The README does not detail performance benchmarks or specific AI model requirements beyond the Claude Code dependency.