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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    Flutter MCP Suite

    1

    AI agent skill for Flutter & Dart development, MCP orchestration, and GenUI dynamic widgets.

    Free

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    Flutter MCP Suite

    Flutter MCP Suite

    Example session with this skill installed

    Create a responsive KPI metric card for a Flutter dashboard that displays monthly revenue. Use GenUI schema format and follow lean state management principles.

    • Read your context and instructions
    • Compiled the flutter mcp suite

    I have generated a responsive KPI metric card using the GenUI (A2UI) schema. This component is designed to be rendered dynamically by the flutter_genui_mcp client and follows the lean architecture principles by keeping the data model separate from the display logic.

    KPI Metric Component Schema

    {
      "component": "kpi_metric",
      "version": "1.0.0",
      "properties": {
        "label": "Monthly Revenue",
        "value": 54250.00,
        "currency": "USD",
        "trend": {
          "direction": "up",
          "percentage": 12.5,
          "label": "vs last month"
        },
        "styling": {
          "color_theme": "success",
          "use_compact_format": false
        }
      },
      "constraints": {
        "min_width": 200,
        "max_width": 400,
        "responsive": true
      }
    }
    

    This JSON object follows the standard GenUI pattern. On the Flutter side, ensure your GenUiRenderer is configured to map kpi_metric to a widget that uses LayoutBuilder for responsiveness.

    Next steps

    1. Pass this JSON to your flutter_genui_mcp tool for real-time preview.
    2. Define the corresponding ChangeNotifier in your Flutter project to fetch the value from your backend.
    3. Verify the layout on small screen sizes using the Flutter DevicePreview.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Turn your AI agent (Claude Code, Cursor, Copilot, Windsurf, OpenClaw, Codex CLI) into an expert Flutter & Dart engineer with native Model Context Protocol (MCP) orchestration and dynamic Generative UI (GenUI / A2UI) capabilities.

    ⚡ Capabilities & Features

    • Flutter & Dart Engineering: Enforces clean widget architectures, const optimization, sound null-safety, and lightweight vanilla state management (ChangeNotifier / ValueNotifier).
    • Dynamic Generative UI (GenUI / A2UI): Directs the agent to generate rich, structured UI components (KPI cards, charts, interactive filters, date pickers) that render natively in Flutter apps using flutter_genui_mcp.
    • MCP Server Orchestration: Connects your AI agent to local or remote Dart MCP servers to run static analysis (dart analyze), inspect git status/diffs, benchmark REST APIs, or execute SQLite queries.
    • Automated Code Auditing: Guides agents through multi-step review workflows, detecting breaking changes and compiling structured PR summaries.

    🚀 Supported Agents

    Claude Code, Cursor, GitHub Copilot, Codex CLI, Windsurf, OpenClaw, and any agent supporting the open SKILL.md specification.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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