Fluxwing Skills enables rapid iterative design using ASCII components. Operations teams can create low-fidelity layouts quickly, then refine them with AI assistance. Connects to Claude for AI-driven design iteration and human review.
git clone https://github.com/trabian/fluxwing-skills.gitFluxwing Skills enables rapid iterative design using ASCII components. Operations teams can create low-fidelity layouts quickly, then refine them with AI assistance. Connects to Claude for AI-driven design iteration and human review.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/trabian/fluxwing-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.
Create a low-fidelity ASCII layout for a [COMPANY] data center in the [INDUSTRY] sector. Include [NUMBER] racks, [NUMBER] servers per rack, and [NUMBER] network switches. Then suggest 3 improvements to optimize airflow and cable management. Use this layout: [ASCII_LAYOUT].
# Data Center Layout for GreenTech Solutions ``` +---------------------+ | RACK-01 (12 Servers) | +---------+-----------+ | NET-SW-01 | NET-SW-02 | +---------------------+ | RACK-02 (12 Servers) | +---------+-----------+ | NET-SW-03 | NET-SW-04 | +---------------------+ ``` ## Suggested Improvements - **Airflow Optimization**: Add blanking panels to empty rack spaces to prevent hot/cold air mixing. - **Cable Management**: Implement vertical cable managers on each rack to reduce clutter and improve airflow. - **Redundancy**: Add a backup network switch (NET-SW-05) to ensure redundancy in case of hardware failure.
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