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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    SEO-to-Code Pipeline for Next.js

    1

    Turn target keywords into production-ready, search-optimized Next.js App Router components with JSON-LD schema & Cursor rules.

    $5

    Secure checkout via Stripe

    30-day refund guarantee

    Converts to your local currency at checkout

    0 installsSecurity scanned
    SEO-to-Code Pipeline for Next.js

    SEO-to-Code Pipeline for Next.js

    Example session with this skill installed

    Create a search-optimized landing page for an AI code review tool named "CodeGuard".

    • Primary Keyword: "AI code reviewer for Next.js"
    • Secondary Keywords: "automated pull request analysis", "TypeScript code quality tool", "Cursor IDE rules"
    • Page Type: SoftwareApplication
    • Page Goal: Product landing page with feature breakdown, pricing snippet, and FAQ section.
    • Read your context and instructions
    • Compiled the seo-to-code pipeline

    // app/code-reviewer/page.tsx

    import { Metadata } from 'next';
    
    export const metadata: Metadata = {
    

    title: 'CodeGuard - AI Code Reviewer for Next.js & TypeScript',
    description: 'Automate pull request analysis and enforce Cursor IDE rules with CodeGuard, the intelligent AI code review tool.',
    openGraph: {
    title: 'CodeGuard - AI Code Reviewer for Next.js',
    description: 'Automate pull request analysis with deep TypeScript static inspection.',

        type: 'website',
      },
    };
    
    export default function CodeReviewerPage() {
      const jsonLd = {
        '@context': 'https://schema.org',
        '@type': 'SoftwareApplication',
        'name': 'CodeGuard',
        'applicationCategory': 'DeveloperApplication',
        'operatingSystem': 'Web, Cursor IDE',
        'offers': {
          '@type': 'Offer',
          'price': '0',
          'priceCurrency': 'USD'
        }
      };
    
      return (
        <main className="max-w-7xl mx-auto px-4 py-12">
          <script
            type="application/ld+json"
            dangerouslySetInnerHTML={{ __html: JSON.stringify(jsonLd) }}
          />
          <header className="mb-12 text-center">
            <h1 className="text-4xl font-bold tracking-tight">
    
          AI Code Reviewer for Next.js Applications
    
            </h1>
            <p className="mt-4 text-xl text-gray-600">
    
          Automate pull request analysis and maintain code quality across engineering teams.
    
            </p>
          </header>
    
          <section className="my-16">
            <h2 className="text-2xl font-semibold mb-6">Automated Pull Request Analysis</h2>
            <article className="prose lg:prose-xl">
              <p>
    
            CodeGuard integrates with your GitHub repository to deliver instant static analysis and automated TypeScript checks...
    
              </p>
            </article>
          </section>
        </main>
      );
    }
    

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

    What you get

    Generate production-ready Next.js pages with built-in metadata exportsAutomate Schema.org JSON-LD creation for rich search snippetsEnforce semantic HTML structures across your entire React codebaseTranslate SEO keyword strategies directly into technical component architecture

    About this skill

    Automate your Technical SEO workflow directly inside your AI workspace. The SEO-to-Code Pipeline takes target keywords, entity specifications, and content goals, converting them into structured, production-ready Next.js React code.

    Core Capabilities

    • Keyword & Entity Mapping: Automatically generates strict heading trees (<h1> -> <h2> -> <h3>) without skipped levels, mapping LSI keywords naturally into component sections.
    • Schema.org Integration: Generates valid JSON-LD payloads for Article, SoftwareApplication, Product, or FAQPage schemas alongside OpenGraph and Twitter card parameters.
    • App Router Native: Outputs clean TypeScript (page.tsx) featuring native generateMetadata implementation, strict semantic HTML tags (<article>, <section>, <header>), and zero generic <div> bloat.
    • Cursor Rules Generation: Automatically writes a .cursor/rules/seo.mdc file to lock in SEO standards across your entire codebase.

    Generated Deliverables

    1. page.tsx: Fully typed, semantic Next.js App Router page.
    2. schema.json: Validated Schema.org structured data script.
    3. .cursor/rules/seo.mdc: Machine-readable IDE rules to enforce standards in future edits.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Fresh listing

    Recently published to Agensi

    30-day refund

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    Trust & safety

    Security scanned

    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago

    What's inside

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