Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/EvezArt/evez-skills --skill analytics-dashboard명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | analytics-dashboard |
| description | User behavior tracking and analytics dashboards |
Automate setup of analytics tracking and dashboard generation for web applications.
This skill helps you implement comprehensive analytics tracking and create beautiful dashboards to understand user behavior, track conversions, and measure product success.
python3 /home/ubuntu/skills/analytics-dashboard/scripts/setup_analytics.py \
/path/to/your/project \
posthog \
YOUR_API_KEY
Arguments:
project_dir: Path to your projectprovider: Analytics provider (posthog, mixpanel, amplitude, segment)api_key: Your analytics API keyNext.js - Add to app/layout.tsx:
import { initAnalytics } from '@/lib/analytics'
export default function RootLayout({ children }) {
useEffect(() => {
initAnalytics()
}, [])
return <html>{children}</html>
}
Python/Flask - Add to app initialization:
from analytics import track_event, identify_user
@app.before_request
def track_page_view():
if current_user.is_authenticated:
track_event(current_user.id, 'page_view', {
'path': request.path
})
import { trackEvent } from '@/lib/analytics'
// Track button click
<button onClick={() => trackEvent('signup_clicked', {
location: 'homepage'
})}>
Sign Up
</button>
// Track form submission
const handleSubmit = (data) => {
trackEvent('form_submitted', {
form_name: 'contact',
fields: Object.keys(data)
})
}
// Track conversion
trackEvent('purchase_completed', {
amount: 99.99,
currency: 'USD',
items: 3
})
Copy the generated dashboard component:
cp /home/ubuntu/skills/analytics-dashboard/templates/dashboard.tsx \
/path/to/your/project/components/
Use in your app:
import AnalyticsDashboard from '@/components/AnalyticsDashboard'
export default function AdminPage() {
return <AnalyticsDashboard />
}
useEffect(() => {
trackEvent('page_view', {
path: window.location.pathname,
referrer: document.referrer
})
}, [pathname])
trackEvent('button_clicked', {
button_name: 'signup',
location: 'homepage_hero'
})
identifyUser(user.id, {
email: user.email,
plan: user.subscription_plan,
signup_date: user.created_at
})
trackEvent('purchase_completed', {
amount: total,
currency: 'USD',
payment_method: 'stripe'
})
The generated dashboard includes:
Key Metrics Cards
Charts
Tables
scripts/setup_analytics.py - Automated setup scripttemplates/dashboard.tsx - Analytics dashboard componentreferences/analytics_patterns.md - Comprehensive guide (300+ lines)// Product viewed
trackEvent('product_viewed', {
product_id: product.id,
category: product.category,
price: product.price
})
// Added to cart
trackEvent('add_to_cart', {
product_id: product.id,
quantity: 1,
cart_total: cart.total
})
// Purchase completed
trackEvent('purchase_completed', {
order_id: order.id,
total: order.total,
items: order.items.length
})
// Trial started
trackEvent('trial_started', {
plan: 'pro',
trial_days: 14
})
// Feature used
trackEvent('feature_used', {
feature_name: 'export_data',
usage_count: user.export_count
})
// Subscription upgraded
trackEvent('subscription_upgraded', {
from_plan: 'basic',
to_plan: 'pro',
mrr_change: 20
})
Manual Setup: 2-3 hours
With This Skill: 15-20 minutes
Time Saved: ~2 hours per project
deployment-automation - Deploy with analytics configureduser-authentication-system - Identify users after loginfeature-flag-system - Track feature flag usageerror-monitoring-setup - Combine with error trackingBuilt with best practices, privacy-conscious, performance-optimized.