Frontend Razor

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by twofoldtech-dakota · vlatest · Repository

Generates clean, maintainable Razor components from descriptions, accelerating frontend development with TwofoldTech's Dakota AI.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add frontend-razor npx -- -y @trustedskills/frontend-razor
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "frontend-razor": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/frontend-razor"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill enables AI agents to generate Razor syntax for frontend development. It allows the agent to produce code snippets suitable for ASP.NET Core applications, facilitating rapid UI creation and component building. The generated code can be used directly within .cshtml view files or other Razor-based templates.

When to use it

  • Generating basic HTML structures with Razor components.
  • Creating reusable UI elements like forms or tables.
  • Prototyping frontend layouts quickly.
  • Automating the creation of simple views in ASP.NET Core projects.

Key capabilities

  • Razor syntax generation
  • ASP.NET Core compatibility
  • Component building
  • UI element creation

Example prompts

  • "Generate a Razor component for a login form with username and password fields."
  • "Create a table in Razor to display customer data, including name, email, and phone number."
  • "Write the Razor code for a simple 'Hello World' view."

Tips & gotchas

The agent’s output is intended as a starting point; review and adapt the generated code to fit your specific project requirements. Familiarity with ASP.NET Core and Razor syntax will help you effectively utilize this skill.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
twofoldtech-dakota
Installs
7

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Passed automated security scans.