Capture and compare SEO page states to identify drift and regressions.
npx skills add https://github.com/martingaam-hue/proavtive --skill seo-drift-martingaam-hue
Please help me install this Agent Skill. Skill: seo-drift Source: https://github.com/martingaam-hue/proavtive/tree/main/.claude/skills/seo-drift Command: npx skills add https://github.com/martingaam-hue/proavtive --skill seo-drift-martingaam-hue
Baseline, detect, and track SEO changes across pages to prevent traffic loss by highlighting regressions and unexpected shifts.
Capture a baseline with /seo drift baseline <url>, then compare with /seo drift compare <url> to detect drift after changes.
High-intent search queries and answers about installing and using this skill.
Capture a baseline state for a URL, then compare future page states against it to detect SEO drift and regressions. This ongoing web monitoring uses rule-based comparison with severity levels to produce actionable diffs and prevent traffic loss.
Validate SEO regressions after deployment by comparing the current page state against a previously captured baseline. This rule-based comparison applies severity levels to the diffs, highlighting unexpected shifts and deployment-triggered SEO issues for individual URLs.
This SEO drift monitoring requires local SQLite storage to save baselines and comparison history, and has no external dependencies. URL normalization and rule-based comparisons run locally to track SEO issues for individual URLs without needing external services.
The best way to track historical SEO baselines and comparisons is using a local SQLite storage system that maintains a full history view. This allows you to review past baselines and rule-triggered diffs for audit and optimization purposes.
Yes, you can troubleshoot SEO issues for individual URLs by capturing a baseline state and running rule-based comparisons with severity levels. This produces actionable diffs that highlight specific SEO regressions and unexpected page state shifts.
Using local SQLite for SEO drift detection limits monitoring to a single local environment rather than distributed or cloud-scale web monitoring. It requires manual URL normalization and rule-based comparison configuration for each individual URL tracked.
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