{"id":"46df40c2-5438-4236-baa5-55b82cef601a","shortId":"QHKm28","kind":"skill","title":"segment-cdp","tagline":"Expert patterns for Segment Customer Data Platform including","description":"# Segment CDP\n\nExpert patterns for Segment Customer Data Platform including Analytics.js,\nserver-side tracking, tracking plans with Protocols, identity resolution,\ndestinations configuration, and data governance best practices.\n\n## Patterns\n\n### Analytics.js Browser Integration\n\nClient-side tracking with Analytics.js. Include track, identify, page,\nand group calls. Anonymous ID persists until identify merges with user.\n\n// Next.js - Analytics provider component\n// lib/segment.ts\nimport { AnalyticsBrowser } from '@segment/analytics-next';\n\nexport const analytics = AnalyticsBrowser.load({\n writeKey: process.env.NEXT_PUBLIC_SEGMENT_WRITE_KEY!,\n});\n\n// Typed event helpers\nexport interface UserTraits {\n email?: string;\n name?: string;\n plan?: 'free' | 'pro' | 'enterprise';\n createdAt?: string;\n company?: {\n id: string;\n name: string;\n };\n}\n\nexport function identify(userId: string, traits?: UserTraits) {\n analytics.identify(userId, traits);\n}\n\nexport function track>(\n event: string,\n properties?: T\n) {\n analytics.track(event, properties);\n}\n\nexport function page(name?: string, properties?: Record) {\n analytics.page(name, properties);\n}\n\nexport function group(groupId: string, traits?: Record) {\n analytics.group(groupId, traits);\n}\n\n// React hook for analytics\n// hooks/useAnalytics.ts\nimport { useEffect } from 'react';\nimport { usePathname, useSearchParams } from 'next/navigation';\nimport { analytics, page } from '@/lib/segment';\n\nexport function usePageTracking() {\n const pathname = usePathname();\n const searchParams = useSearchParams();\n\n useEffect(() => {\n // Track page view on route change\n page(pathname, {\n path: pathname,\n search: searchParams.toString(),\n url: window.location.href,\n title: document.title,\n });\n }, [pathname, searchParams]);\n}\n\n// Usage in _app.tsx or layout.tsx\nfunction RootLayout({ children }) {\n usePageTracking();\n\n return {children};\n}\n\n// Event tracking in components\nfunction PricingButton({ plan }: { plan: string }) {\n const handleClick = () => {\n track('Plan Selected', {\n plan_name: plan,\n page: 'pricing',\n source: 'pricing_page',\n });\n };\n\n return ;\n}\n\n// Identify on auth\nfunction onUserLogin(user: User) {\n identify(user.id, {\n email: user.email,\n name: user.name,\n plan: user.plan,\n createdAt: user.createdAt,\n });\n\n track('User Signed In', {\n method: 'email',\n });\n}\n\n### Context\n\n- browser tracking\n- website analytics\n- client-side events\n\n### Server-Side Tracking with Node.js\n\nHigh-performance server-side tracking using @segment/analytics-node.\nNon-blocking with internal batching. Essential for backend events,\nwebhooks, and sensitive data.\n\n// lib/segment-server.ts\nimport { Analytics } from '@segment/analytics-node';\n\n// Initialize once\nconst analytics = new Analytics({\n writeKey: process.env.SEGMENT_WRITE_KEY!,\n flushAt: 20, // Batch size before flush\n flushInterval: 10000, // Flush every 10 seconds\n});\n\n// Typed server-side tracking\nexport interface ServerContext {\n ip?: string;\n userAgent?: string;\n locale?: string;\n}\n\nexport function serverIdentify(\n userId: string,\n traits: Record,\n context?: ServerContext\n) {\n analytics.identify({\n userId,\n traits,\n context: {\n ip: context?.ip,\n userAgent: context?.userAgent,\n locale: context?.locale,\n },\n });\n}\n\nexport function serverTrack(\n userId: string,\n event: string,\n properties?: Record,\n context?: ServerContext\n) {\n analytics.track({\n userId,\n event,\n properties,\n timestamp: new Date(),\n context: {\n ip: context?.ip,\n userAgent: context?.userAgent,\n },\n });\n}\n\n// Flush on shutdown\nexport async function closeAnalytics() {\n await analytics.closeAndFlush();\n}\n\n// Usage in API routes\n// app/api/webhooks/stripe/route.ts\nexport async function POST(req: Request) {\n const event = await req.json();\n\n switch (event.type) {\n case 'checkout.session.completed':\n const session = event.data.object;\n\n serverTrack(\n session.client_reference_id,\n 'Order Completed',\n {\n order_id: session.id,\n total: session.amount_total / 100,\n currency: session.currency,\n payment_method: session.payment_method_types[0],\n },\n { ip: req.headers.get('x-forwarded-for') || undefined }\n );\n\n // Also update user traits\n serverIdentify(session.client_reference_id, {\n total_spent: session.amount_total / 100,\n last_purchase_date: new Date().toISOString(),\n });\n break;\n\n case 'customer.subscription.created':\n serverTrack(\n event.data.object.metadata.user_id,\n 'Subscription Started',\n {\n plan: event.data.object.items.data[0].price.nickname,\n amount: event.data.object.items.data[0].price.unit_amount / 100,\n interval: event.data.object.items.data[0].price.recurring.interval,\n }\n );\n break;\n }\n\n return new Response('ok');\n}\n\n// Graceful shutdown\nprocess.on('SIGTERM', async () => {\n await closeAnalytics();\n process.exit(0);\n});\n\n### Context\n\n- server-side tracking\n- backend events\n- webhook processing\n\n### Tracking Plan Design\n\nDesign event schemas using Object + Action naming convention.\nDefine required properties, types, and validation rules.\nConnect to Protocols for enforcement.\n\n// Tracking plan definition (conceptual YAML structure)\n// This maps to Segment Protocols configuration\n/*\ntracking_plan:\n display_name: \"MyApp Tracking Plan\"\n rules:\n events:\n - name: \"User Signed Up\"\n description: \"User completed registration\"\n rules:\n required:\n - signup_method\n properties:\n signup_method:\n type: string\n enum: [email, google, github]\n referral_code:\n type: string\n utm_source:\n type: string\n\n - name: \"Product Viewed\"\n description: \"User viewed a product page\"\n rules:\n required:\n - product_id\n - product_name\n properties:\n product_id:\n type: string\n product_name:\n type: string\n category:\n type: string\n price:\n type: number\n currency:\n type: string\n default: USD\n\n - name: \"Order Completed\"\n description: \"User completed a purchase\"\n rules:\n required:\n - order_id\n - total\n - products\n properties:\n order_id:\n type: string\n total:\n type: number\n currency:\n type: string\n products:\n type: array\n items:\n type: object\n properties:\n product_id: { type: string }\n name: { type: string }\n price: { type: number }\n quantity: { type: integer }\n\n identify:\n traits:\n - name: email\n type: string\n required: true\n - name: name\n type: string\n - name: plan\n type: string\n enum: [free, pro, enterprise]\n - name: company\n type: object\n properties:\n id: { type: string }\n name: { type: string }\n*/\n\n// TypeScript implementation with type safety\n// types/segment-events.ts\nexport interface TrackingEvents {\n 'User Signed Up': {\n signup_method: 'email' | 'google' | 'github';\n referral_code?: string;\n utm_source?: string;\n };\n\n 'Product Viewed': {\n product_id: string;\n product_name: string;\n category?: string;\n price?: number;\n currency?: string;\n };\n\n 'Order Completed': {\n order_id: string;\n total: number;\n currency?: string;\n products: Array<{\n product_id: string;\n name: string;\n price: number;\n quantity: number;\n }>;\n };\n\n 'Feature Used': {\n feature_name: string;\n usage_count?: number;\n };\n}\n\n// Type-safe track function\nexport function trackEvent(\n event: T,\n properties: TrackingEvents[T]\n) {\n analytics.track(event, properties);\n}\n\n// Usage - compile-time type checking\ntrackEvent('Order Completed', {\n order_id: 'ord_123',\n total: 99.99,\n products: [\n { product_id: 'prod_1', name: 'Widget', price: 49.99, quantity: 2 },\n ],\n});\n\n// This would be a TypeScript error:\n// trackEvent('Order Completed', { total: 99.99 }); // Missing order_id\n\n### Context\n\n- tracking plan\n- data governance\n- event schema\n\n### Identity Resolution\n\nTrack anonymous users, then merge with identified users via identify().\nUse alias() for identity merging between systems. Group users into\ncompanies/organizations.\n\n// Identity flow implementation\n// lib/identity.ts\n\n// Anonymous user tracking\nexport function trackAnonymousAction(event: string, properties?: object) {\n // Analytics.js automatically generates anonymousId\n analytics.track(event, properties);\n}\n\n// When user signs up or logs in\nexport async function identifyUser(user: {\n id: string;\n email: string;\n name?: string;\n plan?: string;\n}) {\n // This merges anonymous history with user profile\n await analytics.identify(user.id, {\n email: user.email,\n name: user.name,\n plan: user.plan,\n created_at: new Date().toISOString(),\n });\n\n // Track the identification event\n analytics.track('User Identified', {\n method: 'signup',\n });\n}\n\n// B2B: Associate user with company\nexport function associateWithCompany(company: {\n id: string;\n name: string;\n plan?: string;\n employees?: number;\n industry?: string;\n}) {\n analytics.group(company.id, {\n name: company.name,\n plan: company.plan,\n employees: company.employees,\n industry: company.industry,\n });\n}\n\n// Alias: Link identities (e.g., pre-signup email to user ID)\nexport function linkIdentities(previousId: string, newUserId: string) {\n // Use when you identified someone with a temporary ID\n // and now have their permanent user ID\n analytics.alias(newUserId, previousId);\n}\n\n// Full signup flow\nexport async function handleSignup(\n email: string,\n password: string,\n company?: { name: string; size: string }\n) {\n // 1. Create user in your system\n const user = await createUser(email, password);\n\n // 2. Identify with Segment (merges anonymous history)\n await identifyUser({\n id: user.id,\n email: user.email,\n name: user.name,\n plan: 'free',\n });\n\n // 3. Track signup event\n analytics.track('User Signed Up', {\n signup_method: 'email',\n plan: 'free',\n });\n\n // 4. If B2B, associate with company\n if (company) {\n const companyRecord = await createCompany(company, user.id);\n\n associateWithCompany({\n id: companyRecord.id,\n name: company.name,\n employees: parseInt(company.size),\n });\n }\n}\n\n### Context\n\n- user identification\n- anonymous tracking\n- b2b tracking\n\n### Destinations Configuration\n\nRoute data to analytics tools, data warehouses, and marketing platforms.\nUse device-mode for client-side tools, cloud-mode for server processing.\n\n// Segment destinations are configured in the Segment UI\n// but here's how to optimize your implementation\n\n// Conditional tracking based on destination needs\n// lib/segment-destinations.ts\n\ninterface DestinationConfig {\n mixpanel: boolean;\n amplitude: boolean;\n googleAnalytics: boolean;\n warehouse: boolean;\n hubspot: boolean;\n}\n\n// Only send events needed by specific destinations\nexport function trackWithDestinations(\n event: string,\n properties: Record,\n options?: {\n integrations?: Partial;\n }\n) {\n analytics.track(event, properties, {\n integrations: {\n // Override specific destinations\n All: true, // Send to all by default\n ...options?.integrations,\n },\n });\n}\n\n// Example: Track revenue event only to revenue-tracking destinations\nexport function trackRevenue(order: {\n orderId: string;\n total: number;\n currency: string;\n}) {\n analytics.track('Order Completed', {\n order_id: order.orderId,\n revenue: order.total,\n currency: order.currency,\n }, {\n integrations: {\n // Explicitly enable revenue destinations\n 'Google Analytics 4': true,\n 'Mixpanel': true,\n 'Amplitude': true,\n // Disable non-revenue destinations\n 'Intercom': false,\n 'Zendesk': false,\n },\n });\n}\n\n// Send PII only to secure destinations\nexport function identifyWithPII(userId: string, traits: {\n email: string;\n phone?: string;\n address?: string;\n}) {\n analytics.identify(userId, traits, {\n integrations: {\n 'All': false, // Disable all by default\n // Only send PII to trusted destinations\n 'HubSpot': true,\n 'Salesforce': true,\n 'Warehouse': true, // Your data warehouse\n // Don't send PII to analytics tools\n 'Mixpanel': false,\n 'Amplitude': false,\n },\n });\n}\n\n// Context enrichment for all events\nexport function enrichedTrack(\n event: string,\n properties: Record\n) {\n analytics.track(event, {\n ...properties,\n // Add common context\n app_version: process.env.NEXT_PUBLIC_APP_VERSION,\n environment: process.env.NODE_ENV,\n timestamp: new Date().toISOString(),\n }, {\n context: {\n app: {\n name: 'MyApp',\n version: process.env.NEXT_PUBLIC_APP_VERSION,\n },\n },\n });\n}\n\n### Context\n\n- data routing\n- destination setup\n- tool integration\n\n### HTTP Tracking API\n\nDirect HTTP API for any environment. Useful for edge functions,\nworkers, and non-Node.js backends. Batch up to 500KB per request.\n\n// Edge/Serverless tracking via HTTP API\n// lib/segment-http.ts\n\nconst SEGMENT_WRITE_KEY = process.env.SEGMENT_WRITE_KEY!;\nconst SEGMENT_API = 'https://api.segment.io/v1';\n\n// Base64 encode write key for auth\nconst authHeader = `Basic ${btoa(SEGMENT_WRITE_KEY + ':')}`;\n\ninterface SegmentEvent {\n userId?: string;\n anonymousId?: string;\n event?: string;\n name?: string; // For page calls\n properties?: Record;\n traits?: Record;\n context?: Record;\n timestamp?: string;\n}\n\nasync function segmentRequest(\n endpoint: string,\n payload: SegmentEvent\n): Promise {\n const response = await fetch(`${SEGMENT_API}${endpoint}`, {\n method: 'POST',\n headers: {\n 'Authorization': authHeader,\n 'Content-Type': 'application/json',\n },\n body: JSON.stringify({\n ...payload,\n timestamp: payload.timestamp || new Date().toISOString(),\n }),\n });\n\n if (!response.ok) {\n console.error('Segment API error:', await response.text());\n }\n}\n\n// HTTP API methods\nexport async function httpIdentify(\n userId: string,\n traits: Record,\n context?: Record\n) {\n await segmentRequest('/identify', {\n userId,\n traits,\n context,\n });\n}\n\nexport async function httpTrack(\n userId: string,\n event: string,\n properties?: Record,\n context?: Record\n) {\n await segmentRequest('/track', {\n userId,\n event,\n properties,\n context,\n });\n}\n\nexport async function httpPage(\n userId: string,\n name: string,\n properties?: Record\n) {\n await segmentRequest('/page', {\n userId,\n name,\n properties,\n });\n}\n\n// Batch API for high volume\nexport async function httpBatch(\n events: Array<{\n type: 'identify' | 'track' | 'page' | 'group';\n userId?: string;\n anonymousId?: string;\n event?: string;\n name?: string;\n properties?: Record;\n traits?: Record;\n }>\n) {\n // Max 500KB per batch, 32KB per event\n await segmentRequest('/batch', {\n batch: events.map(e => ({\n ...e,\n timestamp: new Date().toISOString(),\n })),\n } as any);\n}\n\n// Cloudflare Worker example\nexport default {\n async fetch(request: Request): Promise {\n const { userId, action, data } = await request.json();\n\n // Track in edge function\n await httpTrack(userId, action, data, {\n ip: request.headers.get('cf-connecting-ip'),\n userAgent: request.headers.get('user-agent'),\n });\n\n return new Response('ok');\n },\n};\n\n### Context\n\n- edge functions\n- serverless\n- http tracking\n\n## Sharp Edges\n\n### Anonymous ID Persists Until Explicit Reset\n\nSeverity: MEDIUM\n\n### Device Mode Bypasses Protocols Blocking\n\nSeverity: HIGH\n\n### HTTP API Has Strict Size Limits\n\nSeverity: MEDIUM\n\n### Track Calls Without Identify Are Anonymous\n\nSeverity: HIGH\n\n### Write Key in Client is Visible (But Intentional)\n\nSeverity: LOW\n\n### Events May Be Lost on Page Navigation\n\nSeverity: MEDIUM\n\n### Timestamps Without Timezone Cause Analytics Issues\n\nSeverity: MEDIUM\n\n### Tracking Before Consent Violates GDPR\n\nSeverity: HIGH\n\n## Validation Checks\n\n### Dynamic Event Name\n\nSeverity: ERROR\n\nEvent names should be static, not include dynamic values\n\nMessage: Dynamic event name detected. Use static event names with dynamic properties.\n\n### Inconsistent Event Name Casing\n\nSeverity: WARNING\n\nEvent names should follow consistent casing convention\n\nMessage: Mixed casing in event name. Use consistent convention (e.g., Title Case).\n\n### Track Without Prior Identify\n\nSeverity: WARNING\n\nUsers should be identified before tracking critical events\n\nMessage: Revenue/conversion event without identify. Ensure user is identified.\n\n### Missing Analytics Reset on Logout\n\nSeverity: WARNING\n\nAnalytics should be reset when user logs out\n\nMessage: Logout without analytics.reset(). Anonymous ID will persist to next user.\n\n### Hardcoded Segment Write Key\n\nSeverity: ERROR\n\nWrite key should use environment variables\n\nMessage: Hardcoded Segment write key. Use environment variables.\n\n### PII Sent to All Destinations\n\nSeverity: WARNING\n\nPII should have destination controls\n\nMessage: PII in tracking without destination controls. Consider limiting destinations.\n\n### Event Without Proper Timestamp\n\nSeverity: INFO\n\nExplicit timestamps help with historical data\n\nMessage: Server track without explicit timestamp. Consider adding timestamp.\n\n### Potentially Large Property Values\n\nSeverity: WARNING\n\nProperties over 32KB will be rejected\n\nMessage: Potentially large property value. Segment has 32KB per event limit.\n\n### Tracking Before Consent Check\n\nSeverity: ERROR\n\nGDPR requires consent before tracking\n\nMessage: Tracking without consent check. Implement consent management for GDPR.\n\n## Collaboration\n\n### Delegation Triggers\n\n- user needs A/B testing -> analytics-specialist (Segment + LaunchDarkly/Optimizely integration)\n- user needs data warehouse -> data-engineer (Segment to BigQuery/Snowflake/Redshift)\n- user needs customer support integration -> zendesk-integration (Identify calls syncing to support tools)\n- user needs marketing automation -> hubspot-integration (Segment to HubSpot destination)\n- user needs consent management -> privacy-specialist (GDPR/CCPA compliance with Segment)\n\n## When to Use\n- User mentions or implies: segment\n- User mentions or implies: analytics.js\n- User mentions or implies: customer data platform\n- User mentions or implies: cdp\n- User mentions or implies: tracking plan\n- User mentions or implies: event tracking\n- User mentions or implies: identify track page\n- User mentions or implies: data routing\n\n## Limitations\n- Use this skill only when the task clearly matches the scope described above.\n- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.\n- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.","tags":["segment","cdp","antigravity","awesome","skills","sickn33","agent-skills","agentic-skills","ai-agent-skills","ai-agents","ai-coding","ai-workflows"],"capabilities":["skill","source-sickn33","skill-segment-cdp","topic-agent-skills","topic-agentic-skills","topic-ai-agent-skills","topic-ai-agents","topic-ai-coding","topic-ai-workflows","topic-antigravity","topic-antigravity-skills","topic-claude-code","topic-claude-code-skills","topic-codex-cli","topic-codex-skills"],"categories":["antigravity-awesome-skills"],"synonyms":[],"warnings":[],"endpointUrl":"https://skills.sh/sickn33/antigravity-awesome-skills/segment-cdp","protocol":"skill","transport":"skills-sh","auth":{"type":"none","details":{"cli":"npx skills add sickn33/antigravity-awesome-skills","source_repo":"https://github.com/sickn33/antigravity-awesome-skills","install_from":"skills.sh"}},"qualityScore":"0.700","qualityRationale":"deterministic score 0.70 from registry signals: · indexed on github topic:agent-skills · 34583 github stars · SKILL.md body (19,764 chars)","verified":false,"liveness":"unknown","lastLivenessCheck":null,"agentReviews":{"count":0,"score_avg":null,"cost_usd_avg":null,"success_rate":null,"latency_p50_ms":null,"narrative_summary":null,"summary_updated_at":null},"enrichmentModel":"deterministic:skill-github:v1","enrichmentVersion":1,"enrichedAt":"2026-04-22T18:52:13.075Z","embedding":null,"createdAt":"2026-04-18T21:44:10.634Z","updatedAt":"2026-04-22T18:52:13.075Z","lastSeenAt":"2026-04-22T18:52:13.075Z","tsv":"'/batch':1554 '/identify':1468 '/lib/segment':172 '/page':1509 '/track':1490 '/v1'';':1368 '0':444,481,485,491,506 '1':800,1004 '10':326 '100':436,464,488 '10000':323 '123':793 '2':806,1016 '20':317 '3':1033 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