MCP App StoreMCP App Store
from tech-seo-audit-skill51
Runs a comprehensive technical SEO audit from crawl data (CSV/API), scores issues by business impact, and outputs a prioritized Markdown report plus an XLSX wit
This skill ingests crawl data (Screaming Frog, Sitebulb, Ahrefs) or crawls via API, runs a 10-category technical audit, and produces two deliverables: a prioritized Markdown report and a complete XLSX spreadsheet with every issue, priority score, and fix instructions. The analysis covers crawlability, indexability, on-page elements, architecture, performance (CWV), structured data, international SEO, and platform-aware remediation guidance.
Trigger when you need a full-site technical SEO review, when a user uploads crawl CSVs, or when investigating why pages aren’t ranking. Use it to generate board-ready executive summaries, developer-facing action lists, and a timelineed implementation plan. Ideal for agencies, in-house SEO teams, or site migrations.
Designed for Claude-style assistant skills with file handling and Python scripting; integrates with local preprocess scripts and XLSX generation tools.
Comprehensive technical SEO audit skill that processes crawl data (Screaming Frog, Sitebulb, Ahrefs) and produces prioritized Markdown reports plus XLSX spreadsheets. The SKILL.md is exceptionally detailed with clear phases, 10 audit categories, business-impact scoring methodology, and platform-aware recommendations. Both bundled scripts fail on import due to missing pandas dependency but the analysis logic is well-structured with good column normalisation, merge logic, and platform detection. No security concerns found—scripts are pure data analysis with no network calls, credentials, or destructive operations.
pandasopenpyxl (likely needed for XLSX output)Well-written skill with strong documentation. SKILL.md is thorough with progressive disclosure via references/. Code is functional but not tested due to missing pandas. Security is clean—no network calls, no credentials, no destructive commands, pure local data analysis. Shell injection risk minimal since scripts don't construct shell commands from user input. Deductions: -12 for missing dependency declarations (no requirements.txt), -10 for scripts failing on import.
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