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plausible-insights

Analyze Plausible Analytics data and page content to diagnose SEO performance.

1|Updated Nov 18, 2025
Search Tags:#SEO#Marketing#Website Audit#Traffic Analysis#Analytics#Plausible Analytics#Content Performance
One-click install
npx skills add https://github.com/alexanderop/claude-plausible-analytics --skill plausible-insights
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plausible-insights
Source: https://github.com/alexanderop/claude-plausible-analytics/tree/main/.claude/skills/plausible-insights
Command: npx skills add https://github.com/alexanderop/claude-plausible-analytics --skill plausible-insights

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq, curl, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill transforms raw Plausible Analytics data into actionable SEO insights, eliminating the need for manual data interpretation and deep analytical expertise. It proactively identifies traffic anomalies, content performance issues, and engagement shifts, providing specific recommendations to improve your website's search engine performance and user experience.

Core Features & Use Cases

  • Proactive SEO Analysis: Automatically investigates traffic patterns, detects anomalies, and surfaces insights like a human SEO consultant.
  • Content Performance Optimization: Identifies top-performing pages and those with high bounce rates, then analyzes actual page content to suggest specific improvements.
  • Autonomous Investigation: When significant changes are detected (e.g., a 30% traffic drop), the Skill automatically digs deeper into sources, pages, and timing to find root causes.
  • Actionable Recommendations: Provides concrete, content-aware fixes and strategies, such as "Change your TIL page opening from X to Y to reduce bounce rate," rather than generic advice.
  • Use Case: Instead of spending hours manually sifting through Plausible dashboards, simply ask, "How's my traffic?" and receive a comprehensive SEO health report with prioritized, specific actions to take.

Quick Start

How's my traffic?

Frequently Asked Questions about plausible-insights

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze SEO performance using Plausible Analytics data?▼

Analyze SEO performance by connecting to Plausible Analytics to diagnose traffic health, identify top-performing pages, detect anomalies, and surface content-specific recommendations. The Skill fetches actual page content and applies analytics to ground actionable fixes based on your real data.

Can I identify which pages have high bounce rates and get specific improvement suggestions?▼

Yes. The Skill analyzes content performance across your pages, identifies those with high bounce rates, fetches their actual content, and provides concrete, specific recommendations such as revised opening copy or structural changes to reduce bounce.

How do I detect traffic drops and find their root cause automatically?▼

The Skill automatically investigates significant traffic changes by analyzing traffic patterns, sources, pages, and timing. When anomalies like a 30% drop are detected, it digs deeper into dimensions to identify and report the underlying cause.

What data and tools do I need before using this SEO analysis Skill?▼

You need a Plausible Analytics account with access to your site data, plus curl and jq installed to fetch analytics data and process structured outputs. The Skill handles the rest through configurable date ranges and strict input validation.

Does this Skill work for comparing website performance across different time periods?▼

Yes. The Skill supports period comparisons within configurable date ranges across traffic health, top pages, sources, engagement, decay, and entry-page analysis to surface trends and shifts in performance over time.

What are the limitations when querying Plausible Analytics dimensions with this Skill?▼

The Skill enforces strict validation: pagination is required when using dimensions, wildcards are prohibited in is filters, and only safe metric and dimension combinations are allowed. These constraints ensure reliable, structured outputs.

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