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    Technical SEO Issue Prioritizer

    1

    Turn messy SEO crawl exports into a prioritized, developer-ready remediation backlog with actionable fix instructions.

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    Technical SEO Issue Prioritizer

    Technical SEO Issue Prioritizer

    Example session with this skill installed

    I've attached a CSV export of 404 errors and duplicate content flags from our staging site. Can you prioritize these for the dev team and suggest fixes for a Next.js environment?

    • Read your context and instructions
    • Compiled the technical seo issue

    I have analyzed the staging site crawl data, identifying 42 unique issues across 1,200 URLs. Findings have been grouped by root cause, specifically focusing on routing patterns and template logic.

    Technical SEO Remediation Report

    IDIssuePriorityEvidenceAffected URLsProposed FixOwnerConfidence
    SEO-001Broken Internal Links (404)P1/products/old-slug-185Update next/link components to point to active slugs; implement 301 redirects in next.config.js.BackendHigh
    SEO-002Duplicate H1 TagsP2/blog/article-v1312Modify BlogHeader component to ensure only one <h1> is rendered per viewport; move secondary titles to <h2>.FrontendHigh
    SEO-003Missing Canonical TagsP1/category/shoes?color=blue740Implement a centralized canonical logic in _app.js or Metadata API to reference the base URL without query params.FrontendHigh
    SEO-004Trailing Slash InconsistencyP3/about/ vs /about12Set trailingSlash: true in next.config.js to enforce consistent URL formatting across the site.DevOpsMed

    Executive Summary
    The primary blockers are broken internal links and missing canonicals on filtered category pages, which are currently causing significant crawl budget waste. Priority should be given to the next.config.js routing updates to stabilize the crawl path.

    Next steps

    1. Export the P1 issues to your ticketing system for the next sprint.
    2. Verify if the 404 errors are due to a database migration mismatch or stale hardcoded links.
    3. Schedule a re-crawl of the /category/ path once the canonical logic is deployed.

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

    About this skill

    Stop drowning in raw SEO crawl exports. This skill processes website audits and technical evidence to generate a structured, developer-ready remediation backlog. It eliminates the manual work of deduplicating issues and mapping crawler warnings to actual business impact.

    What it does

    • Evidence normalization groups overlapping findings from different sources while preserving specific URL examples and crawl timestamps.
    • Contextual prioritization assigns P1 through P4 severity based on indexability, crawl budget, and confidence rather than generic crawler scores.
    • Remediation mapping generates actionable fix instructions, including investigation steps, responsible roles, and acceptance criteria.
    • Dependency identification sequences work by highlighting prerequisites and batching related template changes.
    • Validation queuing separates confirmed technical blockers from findings that require manual inspection or search console verification.

    How it works

    1. Supply your data by uploading CSV exports, site maps, or pasted tables from tools like Screaming Frog or Ahrefs.
    2. Review the evidence inventory where the agent identifies crawl dates, URL scopes, and parses the available data columns.
    3. Analyze the backlog produced according to the scoring rubric, which weights technical impact against implementation risk.
    4. Execute the retest plan using the provided success criteria to verify that deployed fixes resolve the underlying technical issues.

    Frameworks & tools

    Works with exports from any major SEO crawler (Screaming Frog, Sitebulb, Botify, Ahrefs, Semrush). Output focuses on CMS-agnostic remediation logic suitable for React/Next.js, Shopify, WordPress, or custom stacks.

    Why this beats prompting it yourself

    Generic prompts often treat every "missing meta tag" as a critical error. This skill uses a specific priority rubric to distinguish between cosmetic issues and indexability blockers, ensuring your engineering team focuses on what actually moves the needle.

    Use cases

    • Audit triaging to turn a 5,000-row spreadsheet into a prioritized Jira-ready backlog.
    • Pre-launch checks to identify crawl blockers and canonicalization risks before going live.
    • Post-migration analysis to sequence redirect fixes and verify sitemap integrity.
    • Agency reporting to produce structured executive summaries for clients without manual formatting.

    Known limitations

    Does not perform live crawling or access private Search Console accounts. Accuracy depends on the quality and completeness of the supplied export files.

    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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