Plausible Analytics
Privacy-first, cookie-free web analytics. Lightweight script (<1KB), no personal data collection, GDPR/CCPA/PECR compliant out of the box.
Best use case
Plausible Analytics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Privacy-first, cookie-free web analytics. Lightweight script (<1KB), no personal data collection, GDPR/CCPA/PECR compliant out of the box.
Teams using Plausible Analytics should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/plausible/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Plausible Analytics Compares
| Feature / Agent | Plausible Analytics | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Privacy-first, cookie-free web analytics. Lightweight script (<1KB), no personal data collection, GDPR/CCPA/PECR compliant out of the box.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Plausible Analytics
Privacy-first, cookie-free web analytics. Lightweight script (<1KB), no personal data collection, GDPR/CCPA/PECR compliant out of the box.
## Self-Hosting with Docker Compose
```yaml
# docker-compose.yml — Plausible Community Edition self-hosted stack.
# Runs Plausible with PostgreSQL for user data and ClickHouse for analytics.
version: '3.8'
services:
plausible:
image: ghcr.io/plausible/community-edition:v2
command: sh -c "sleep 10 && /entrypoint.sh db createdb && /entrypoint.sh db migrate && /entrypoint.sh run"
ports:
- '8000:8000'
environment:
BASE_URL: https://analytics.example.com
SECRET_KEY_BASE: '<generate-with-openssl-rand-base64-48>'
DATABASE_URL: postgres://plausible:plausible@db:5432/plausible
CLICKHOUSE_DATABASE_URL: http://clickhouse:8123/plausible_events
depends_on:
- db
- clickhouse
db:
image: postgres:16-alpine
environment:
POSTGRES_DB: plausible
POSTGRES_USER: plausible
POSTGRES_PASSWORD: plausible
volumes:
- postgres-data:/var/lib/postgresql/data
clickhouse:
image: clickhouse/clickhouse-server:24.3-alpine
volumes:
- clickhouse-data:/var/lib/clickhouse
ulimits:
nofile:
soft: 262144
hard: 262144
volumes:
postgres-data:
clickhouse-data:
```
```bash
# deploy.sh — Generate a secret key and start Plausible.
SECRET=$(openssl rand -base64 48)
echo "SECRET_KEY_BASE=$SECRET" >> .env
docker compose up -d
echo "Plausible is running at http://localhost:8000"
echo "Create your admin account at http://localhost:8000/register"
```
## Script Tag Installation
```html
<!-- index.html — Add the Plausible tracking script to your site.
No cookies, no personal data, under 1KB gzipped. -->
<head>
<!-- Basic pageview tracking -->
<script defer data-domain="example.com"
src="https://analytics.example.com/js/script.js"></script>
<!-- With custom event tracking enabled -->
<script defer data-domain="example.com"
src="https://analytics.example.com/js/script.tagged-events.js"></script>
<!-- With hash-based routing (SPAs) -->
<script defer data-domain="example.com"
src="https://analytics.example.com/js/script.hash.js"></script>
<!-- Multiple extensions combined -->
<script defer data-domain="example.com"
src="https://analytics.example.com/js/script.hash.tagged-events.outbound-links.js"></script>
</head>
```
## Custom Event Goals
```javascript
// analytics.js — Track custom events for conversion goals in Plausible.
// Events appear in Goals section of the Plausible dashboard.
// Basic event
function trackSignup() {
plausible('Signup')
}
// Event with custom properties (requires Business plan or self-hosted)
function trackPurchase(plan, amount) {
plausible('Purchase', {
props: {
plan: plan,
amount: amount,
},
})
}
// Revenue tracking
function trackRevenue(amount, currency) {
plausible('Purchase', {
revenue: { amount: amount, currency: currency },
props: { plan: 'pro' },
})
}
// Track form submissions
document.getElementById('contact-form').addEventListener('submit', function () {
plausible('Contact Form Submission', {
props: { source: document.referrer || 'direct' },
})
})
// Track 404 pages (add script.file-downloads.js extension)
// Plausible auto-tracks file downloads and outbound links with extensions
```
## Next.js Integration
```typescript
// app/layout.tsx — Add Plausible to a Next.js App Router site.
// Uses next-plausible for automatic route change tracking in SPAs.
import PlausibleProvider from 'next-plausible'
export default function RootLayout({ children }: { children: React.ReactNode }) {
return (
<html lang="en">
<head>
<PlausibleProvider
domain="example.com"
customDomain="https://analytics.example.com"
selfHosted={true}
taggedEvents={true}
/>
</head>
<body>{children}</body>
</html>
)
}
```
```typescript
// components/pricing-button.tsx — Track custom events in React components.
// Uses the usePlausible hook for type-safe event tracking.
'use client'
import { usePlausible } from 'next-plausible'
type PlausibleEvents = {
'Plan Selected': { plan: string; price: number }
'CTA Clicked': { location: string }
}
export function PricingButton({ plan, price }: { plan: string; price: number }) {
const plausible = usePlausible<PlausibleEvents>()
return (
<button
onClick={() => plausible('Plan Selected', { props: { plan, price } })}
>
Choose {plan}
</button>
)
}
```
## Stats API
```python
# plausible_api.py — Query the Plausible Stats API for traffic data.
# Returns aggregate stats, timeseries, and breakdowns.
import requests
from datetime import date
PLAUSIBLE_HOST = 'https://analytics.example.com'
API_KEY = 'your-api-key'
SITE_ID = 'example.com'
headers = {'Authorization': f'Bearer {API_KEY}'}
def get_realtime_visitors() -> int:
"""Get current number of visitors on the site."""
r = requests.get(
f'{PLAUSIBLE_HOST}/api/v1/stats/realtime/visitors',
headers=headers,
params={'site_id': SITE_ID}
)
return r.json()
def get_aggregate(period: str = '30d', metrics: str = 'visitors,pageviews,bounce_rate,visit_duration') -> dict:
"""Get aggregate stats for a time period."""
r = requests.get(
f'{PLAUSIBLE_HOST}/api/v1/stats/aggregate',
headers=headers,
params={
'site_id': SITE_ID,
'period': period,
'metrics': metrics,
}
)
return r.json()['results']
def get_top_pages(period: str = '30d', limit: int = 10) -> list:
"""Get top pages by visitors."""
r = requests.get(
f'{PLAUSIBLE_HOST}/api/v1/stats/breakdown',
headers=headers,
params={
'site_id': SITE_ID,
'period': period,
'property': 'event:page',
'limit': limit,
'metrics': 'visitors,pageviews',
}
)
return r.json()['results']
def get_traffic_sources(period: str = '30d') -> list:
"""Get breakdown of traffic sources."""
r = requests.get(
f'{PLAUSIBLE_HOST}/api/v1/stats/breakdown',
headers=headers,
params={
'site_id': SITE_ID,
'period': period,
'property': 'visit:source',
'metrics': 'visitors,bounce_rate',
}
)
return r.json()['results']
```
## Proxy Script Through Your Domain
```nginx
# nginx.conf — Proxy Plausible script through your domain.
# Avoids ad blockers and keeps all traffic first-party.
server {
listen 443 ssl;
server_name example.com;
# Proxy the Plausible script
location = /js/script.js {
proxy_pass https://analytics.example.com/js/script.js;
proxy_set_header Host analytics.example.com;
proxy_ssl_server_name on;
# Cache the script for 6 hours
proxy_cache_valid 200 6h;
proxy_cache_valid 404 1m;
}
# Proxy the event endpoint
location = /api/event {
proxy_pass https://analytics.example.com/api/event;
proxy_set_header Host analytics.example.com;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_ssl_server_name on;
}
}
```Related Skills
cursor-usage-analytics
Track and analyze Cursor usage metrics via admin dashboard: requests, model usage, team productivity, and cost optimization. Triggers on "cursor analytics", "cursor usage", "cursor metrics", "cursor reporting", "cursor dashboard", "cursor ROI".
using-dbt-for-analytics-engineering
Builds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show. Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes.
apify-content-analytics
Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.
../../../marketing-skill/campaign-analytics/SKILL.md
No description provided.
analytics-attribution
Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports.
google-analytics-automation
Automate Google Analytics tasks via Rube MCP (Composio): run reports, list accounts/properties, funnels, pivots, key events. Always search tools first for current schemas.
azure-ai-textanalytics-py
Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text. Triggers: "text analytics", "sentiment analysis", "entity recognition", "key phrase", "PII detection", "TextAnalyticsClient".
mixpanel-analytics
MixPanel analytics tracking implementation and review Skill for Django4Lyfe optimo_analytics module. Implements new events following established patterns and reviews implementations for PII protection, schema design, and code quality.
monitoring-analytics
Monitor Proxmox infrastructure health and performance. Track node statistics, analyze resource utilization, and identify optimization opportunities across your cluster.
analytics-tracking
When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," or "tracking plan." For A/B test measurement, see ab-test-setup.
Real-Time Analytics
## Overview
Product Analytics — Metrics, Funnels, and Growth
## Overview