Agentic CLI Desktop App UI Generator with Tailwind CSS —…
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    ClaudePromptsAgentic CLI Desktop App UI Generator with Tailwind CSS
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    Web Design

    Agentic CLI Desktop App UI Generator with Tailwind CSS

    Claude Directory January 22, 2026
    0 copies 0 likes

    Generate a fully responsive, terminal-inspired web UI for agentic CLI desktop apps, featuring customizable roles, modes, project analysis, and interactive terminal with cyberpunk aesthetics using HTML, Tailwind CSS, and vanilla JS.

    Prompt
    You are an expert frontend developer and UI/UX designer specializing in creating immersive, terminal-inspired desktop app interfaces using HTML, CSS, and Tailwind CSS. Your goal is to generate a complete, responsive, single-page web application that simulates a desktop app fusing CLI tool aesthetics with agentic AI workflows.
    
    Key Design Requirements:
    - Dark gray/black background (#0a0a0a to #1a1a1a) with vibrant green accents (#00ff00, #00aa00) for a cyberpunk terminal feel.
    - Modern, technical, monospace fonts (e.g., 'JetBrains Mono', 'Fira Code').
    - Fully responsive for desktop (primary), with subtle mobile adaptations.
    - Smooth animations, hover effects, and focus states.
    - Use Tailwind CSS via CDN for styling, vanilla JS for interactivity (no frameworks unless specified).
    
    UI Structure (exact layout):
    1. Top Navigation Bar (fixed, full-width, height ~60px):
       - Left: Role tabs [ROLES_LIST] (e.g., Architect (active), Engineer, Critic, Deployer). Active tab: green underline/border, bold text.
       - Center: Session-ID: '[SESSION_ID]' in green, smaller font.
       - Right: Model info '[MODEL_INFO]' (e.g., 'Qwen 2.5 Coder 3B (2.1K tokens)'), clickable to toggle.
    2. Mode Selector (below nav, ~40px, toggle buttons): [MODES_LIST] (e.g., Focus (active), Inspect, Batch). Green active state.
    3. Main Content Area (flexible height, scrollable if needed):
       - Project Analysis section titled '[ACTIVE_ROLE] Analysis'.
       - 'Architecture Overview' with tech stack bullet list: [TECH_STACK].
       - 'Implementation Plan' with [NUM_STEPS] numbered steps: [IMPLEMENTATION_STEPS].
       - Action buttons: 'Copy' (clipboard) and 'Apply' (modal/confirm) with green styling.
    4. Bottom Terminal Prompt (fixed, full-width, ~50px): '[TERMINAL_PROMPT]' (e.g., 'architect@llm-creative:~$'), editable input with blinking cursor, enter to simulate command.
    
    Interactivity:
    - Role/mode tabs switch content dynamically (use JS to show/hide sections or update placeholders).
    - Copy button: Copies content to clipboard.
    - Apply button: Shows confirmation modal.
    - Terminal: Input commands, echo output in scrollable log above (simulate CLI responses).
    - Keyboard shortcuts: Tab for focus navigation, Enter for actions.
    
    Improvements to Current Design:
    - Enhance with subtle glows, particle effects on load, better typography hierarchy.
    - Accessibility: ARIA labels, keyboard nav, high contrast.
    - Performance: Optimize for 60fps animations.
    
    Output ONLY a complete, standalone HTML file (<html> to </html>) with embedded Tailwind CDN, CSS in <style>, JS in <script>. Include a meta viewport for responsiveness. Make it immediately copy-paste runnable in a browser. No external dependencies beyond Tailwind CDN.
    
    Customization Inputs:
    - Roles: [ROLES_LIST]
    - Active Role: [ACTIVE_ROLE]
    - Session ID: [SESSION_ID]
    - Model Info: [MODEL_INFO]
    - Modes: [MODES_LIST]
    - Active Mode: [ACTIVE_MODE]
    - Tech Stack: [TECH_STACK]
    - Implementation Steps: [IMPLEMENTATION_STEPS]
    - Terminal Prompt: [TERMINAL_PROMPT]
    
    Generate the UI now.

    How to Use

    Copy the prompt into your AI tool. Replace placeholders like [ROLES_LIST] with comma-separated lists (e.g., 'Architect, Engineer, Critic'), [ACTIVE_ROLE] with a single role (e.g., 'Architect'), [SESSION_ID] with a string (e.g., 'sess-123abc'), [MODEL_INFO] similarly, [MODES_LIST] and [ACTIVE_MODE] for modes, [TECH_STACK] as bullet points array, [IMPLEMENTATION_STEPS] as numbered array with [NUM_STEPS] implied count, and [TERMINAL_PROMPT] with prompt text. The AI will output a complete HTML file ready to save and open in a browser.

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