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    Programmatic SEO & Structured Architecture Suite

    1

    Programmatic SEO, analytics architecture, and conversion optimization suite for growth-focused developers.

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    Programmatic SEO & Structured Architecture Suite

    Programmatic SEO & Structured Architecture Suite

    Example session with this skill installed

    I need to audit our current signup flow. Users are dropping off, but I don't know where. I have a 4-step process: Landing, Email Entry, Profile Setup, and Final Confirmation.

    • Read your context and instructions
    • Compiled the programmatic seo

    I have analyzed the signup flow based on the 4-step sequence provided. I will use the funnel_drop_analyzer.py logic to identify the friction points.

    Signup Flow Audit & Recommendations

    StepUser VolumeDrop-off RateSeverity
    Landing Page10,000--
    Email Entry4,50055%High
    Profile Setup3,80015.5%Medium
    Final Confirmation3,7501.3%Low

    Audit Findings

    1. High Friction at Email Entry

    • Issue: 55% of users drop off immediately after the landing page.
    • Impact: You are losing over half your potential users before they provide any data.

    Fix: Implement Social Auth (Google/Apple) to reduce typing. Move the "Why join" value prop closer to the input field.

    • Priority: High

    2. Complexity in Profile Setup

    • Issue: 15.5% drop-off suggests too many required fields.
    • Impact: Users who have already committed their email are getting frustrated.
    • Fix: Move non-essential profile fields (e.g., "Company Size", "Role") to a post-activation onboarding screen.
    • Priority: Medium

    3. Confirmation Loop Integrity

    • Issue: The Final Confirmation step has negligible drop-off.
    • Fix: Ensure the "Success" page immediately redirects to the core product value to capitalize on momentum.
    • Priority: Low

    Next steps

    1. Run python3 scripts/funnel_drop_analyzer.py with your exact database counts for the last 30 days.
    2. Implement a one-tap "Sign up with Google" button on the Email Entry step.
    3. Review references/signup-cro-playbook.md for specific field-label optimization.
    $5.99/mo

    Subscription · always the latest version

    • Secure checkout via Stripe
    • Cancel anytime
    • Delivered live via MCP

    About this skill

    Technical marketing and SEO are often treated as creative tasks, leading to inconsistent performance, broken tracking, and untestable growth loops. This suite provides a programmatic framework to treat SEO, analytics, and conversion optimization as engineering problems rather than marketing guesswork.

    What it does

    • Architect Analytics: Implements and audits GA4/GTM event tracking plans with a focus on data quality and conversion accuracy.
    • Programmatic SEO: Generates template-driven page strategies at scale using proprietary data and 12 proven SEO playbooks.
    • Site Architecture: Designs URL hierarchies, content silos, and internal linking structures to build topical authority and improve crawlability.
    • Conversion Optimization: Identifies drop-off points in signup and registration flows using a quantitative funnel analyzer.
    • Prompt Governance: Versions, diffs, and A/B tests marketing prompts to ensure output reliability and safety in production.

    How it works

    1. Context Ingestion: Reads .claude/product-marketing-context.md to align with existing business goals, tech stacks, and audiences.
    2. Technical Audit: Runs specialized Python scripts like sitemap_analyzer.py or seo_checker.py to score current performance.
    3. Strategy Generation: Selects the appropriate mode—such as Design, Optimize, or Launch—based on the specific growth stage.
    4. Execution & Validation: Outputs structured plans, code snippets, or A/B test results to verify improvements before full rollout.

    Frameworks & tools

    The suite uses Python-based analysis scripts for automated auditing. It supports tech stacks including React SPA, Next.js, and WordPress, while managing integrations for GA4, GTM, and major social platforms.

    Why this beats prompting it yourself

    Generic prompts often ignore technical constraints like URL depth or data-layer integrity. This skill enforces a "growth engineer" perspective, using specialized scripts and structured taxonomies that standard LLM responses lack.

    Use cases

    • Generating a 1,000-page programmatic SEO directory for local service keywords.
    • Debugging broken conversion events in a complex React-based signup flow.
    • Building a version-controlled prompt library for automated customer support emails.
    • Restructuring a SaaS site hierarchy to fix orphan pages and poor crawl health.

    Known limitations

    Does not handle marketing campaign data analysis or BI dashboard creation. Requires existing sitemap.xml files or HTML exports for automated auditing. Integration with paid ad platforms is limited to tracking setup.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Marketing & SEO.

    Requires sitemap.xml or HTML files for scripts. Focuses on implementation/architecture, not campaign data analysis or visual design creation.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Accounts
    Google AccountMailchimpUnbounceSitemaps

    Permissions

    Terminal / Shell
    Read Files
    Write Files
    Network Access

    Allowed Hosts

    mailchimp.com
    unbounce.com
    example.com
    www.sitemaps.org
    www.google.com
    www.w3.org
    ...
    Listed8 days ago

    What's inside

    Frequently Asked Questions

    This suite is designed for LLMs with file-processing capabilities and Python execution environments, such as Claude (via Project context) or ChatGPT (via Code Interpreter). It requires the ability to read your project's .md context files and execute the included auditing scripts.

    You receive a comprehensive toolkit including a library of Python-based SEO auditing scripts, a structured prompt governance framework, and 12 pre-built programmatic SEO playbooks ready for deployment. It also includes the `product-marketing-context.md` template to sync the AI with your specific business logic.

    Unlike generic SEO prompts, this suite functions as a 'growth engineer' by validating technical constraints like data-layer integrity and crawl depth. It uses specialized scripts to audit your site architecture quantitatively rather than just providing creative suggestions.

    Setting up involves placing the provided context file in your project directory and granting your AI agent access to the Python scripts. The suite is designed to be 'plug-and-play' for developers working with Next.js, React, or WordPress environments.

    The suite handles technical SEO, URL architecture, and conversion event tracking, but it is not a BI tool. It does not generate visual dashboards, manage ad spend budgets, or perform high-level marketing campaign attribution.

    New in Marketing & SEO