基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/EvezArt/evez-skills --skill analytics-dashboard命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
Recursive re-encoding of Kolmogorov complexity and universal prior across all -ologies/-ometries, driving cumulative meta-learning while maintaining read-only boundaries.
Uses strange attractors, self-organized criticality, and anomalistic psychology metrics to flag UAP-like phase transitions in behavioral game theory data.
Couples microbiome–gut–brain axis, quantum biology, and multilayer networks for privacy-preserving federated learning across endosymbiotic scales.
| 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.