A portable, framework-agnostic field-side observability system for any React or React Native app. Establishes one typed event taxonomy (canonical event-name constants, never inline strings), a best-effort non-blocking provider fan-out so a failing or absent analytics provider can never...
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A portable, framework-agnostic field-side observability system for any React or React Native app. Establishes one typed event taxonomy (canonical event-name constants, never inline strings), a best-effort non-blocking provider fan-out so a failing or absent analytics provider can never...
Use this skill when you need a portable, framework-agnostic field-side observability system for any React or React Native app. Establishes one typed event taxonomy (canonical event-name constants, never inline strings), a best-effort non-blocking provider fan-out so a failing or absent analytics provider can never...
Portable skill — readable by Claude Code, OpenCode, Codex, Cursor, Windsurf, and others.
This skill describes a field-side observability system — event taxonomy, provider fan-out,
real-user vitals, error reporting, consent — not a dashboard or a specific vendor. It is the
field complement to the frontend-lighthouse skill: Lighthouse is the lab gate (synthetic,
pre-merge); this is the field (what real users actually experience). It lives in a
services/analytics/ module per the frontend-architecture skill.
The goal: you can answer "what are real users doing, and what are they experiencing?" — with a
typed event vocabulary (no stringly-typed track("clicked_thing") scattered everywhere), a
fan-out that is best-effort (a broken provider never breaks the app), real Core Web Vitals
from the field, and consent respected before anything fires.
0. The five core ideas
Events are a typed vocabulary. Event names are canonical constants with a union type — never inline string literals. The taxonomy is reviewable in one file and the compiler rejects typos.
Fan-out is best-effort and non-blocking.track() dispatches to every provider, each in its own try/catch. A missing global, a thrown provider, an unloaded script — none can throw into the caller or stop the other providers.
One entry point, SSR-safe. A single track(event, props) is the only way to record. It's reached through a context hook that no-ops outside a provider and on the server, so instrumented components render safely anywhere.
Field vitals complement lab budgets. Real-user LCP/INP/CLS are reported to the same fan-out. Lighthouse proves the build can be fast; field vitals prove it is — together they close the loop.
Consent gates everything. No telemetry (events, vitals, error reports with PII) fires before opt-in. Consent state is checked at the fan-out boundary, not sprinkled through call sites.
1. Directory layout
The system is one service module plus its constants (per frontend-architecture).
src/
├── constants/
│ └── analytics.ts ← canonical event names + AnalyticsEvent union
├── services/analytics/
│ ├── index.ts ← barrel: track, adapters, types
│ ├── track.ts ← the best-effort fan-out (single entry point)
│ ├── adapters.ts ← one (event, props) => void per provider, window-guarded
│ ├── web-vitals.ts ← report real-user LCP/INP/CLS into track()
│ └── consent.ts ← consent gate read by the fan-out
├── providers/
│ └── AnalyticsProvider.tsx ← 'use client' context exposing useAnalytics().track
└── error/
└── ErrorBoundary.tsx ← reports caught render errors via the fan-out
2. The event taxonomy (typed, never inline)
One file owns every event name. Components reference constants; the union type makes typos a compile
error and the catalog a single source of truth.
// CORRECT — typed constant, autocompletes, can't typotrack(ANALYTICS_EVENTS.GITHUB_CLICK, { url });
// WRONG — stringly-typed, drifts, no compile checktrack("github-click"); // ❌ silently a different event from "github_click"
Hard rules:
No inline event-name strings anywhere; only ANALYTICS_EVENTS.*.
Event names are snake_case and stable — renaming one breaks historical dashboards, so treat the catalog as a contract.
Keep props shapes small and PII-light (see §6); prefer ids over names, never raw emails.
3. Best-effort, non-blocking fan-out
track() is the single entry point. It iterates the adapter registry, guarding each call so one
provider can't affect the caller or the others.
// services/analytics/track.tsimporttype { AnalyticsEvent } from"@/constants/analytics";
import { analyticsAdapters } from"./adapters";
import { hasConsent } from"./consent";
exportfunctiontrack(event: AnalyticsEvent,
props?: Record<string, unknown>,
): void {
if (!hasConsent()) return; // §6 — nothing fires before opt-infor (const adapter of analyticsAdapters) {
try {
adapter(event, props);
} catch {
/* best-effort: a failing/absent provider must never throw into the
caller or block dispatch to the remaining providers. */
}
}
}
Each adapter is a tiny (event, props) => void that guards its provider global — it no-ops on
the server (no window) and when the provider script is absent, so a missing or unloaded provider
never throws.
// services/analytics/adapters.tsexporttypeAnalyticsAdapter = (event: AnalyticsEvent,
props?: Record<string, unknown>,
) =>void;
exportconstgoogleAnalyticsAdapter: AnalyticsAdapter = (event, props) => {
const w =
typeofwindow !== "undefined" ? (windowasAnalyticsGlobals) : undefined;
if (!w || typeof w.gtag !== "function") return; // SSR-safe + absent-safe
w.gtag("event", event, props ?? {});
};
exportconstclarityAdapter: AnalyticsAdapter = (event) => {
const w =
typeofwindow !== "undefined" ? (windowasAnalyticsGlobals) : undefined;
if (!w || typeof w.clarity !== "function") return;
w.clarity("event", event);
};
// The registry track() fans out across. Exported + mutable so tests can swap// in a recording sink to assert dispatch.exportconstanalyticsAdapters: AnalyticsAdapter[] = [
googleAnalyticsAdapter,
clarityAdapter,
firebaseAdapter,
// posthogAdapter, openPanelAdapter, …
];
3.1 Firebase Analytics — one adapter, two platforms
Firebase Analytics ships two SDKs that share the same logEvent(name, params) contract, so a
single conceptual adapter covers both web and React Native — only the import and the "is it
available?" guard differ. On web the adapter never imports the SDK at module top level (it's
browser-only and async), so it stays SSR-safe.
// services/analytics/firebase.init.ts — lazy, browser-only init (web)import { initializeApp, getApps } from"firebase/app";
import { getAnalytics, isSupported } from"firebase/analytics";
import { setFirebaseAnalytics } from"./adapters.firebase.web";
import { FIREBASE_CONFIG } from"@/constants/analytics";
exportasyncfunctioninitFirebaseAnalytics(): Promise<void> {
if (typeofwindow === "undefined") return; // never on the serverif (!(awaitisSupported())) return; // unsupported browser → no-opconst app = getApps()[0] ?? initializeApp(FIREBASE_CONFIG);
setFirebaseAnalytics(getAnalytics(app)); // adapter goes live after this
}
// services/analytics/adapters.firebase.native.ts — @react-native-firebase/analytics (RN / Expo)import analytics from"@react-native-firebase/analytics";
importtype { AnalyticsAdapter } from"./adapters";
exportconstfirebaseAdapter: AnalyticsAdapter = (event, props) => {
// RN: no window; the native module is present once the app boots.voidanalytics().logEvent(event, props);
};
Same shape, two files. Resolve the platform variant by file extension
(adapters.firebase.native.ts via Metro's .native.ts resolution, or a Platform.OS switch) so
the registry, track fan-out, consent gate, taxonomy, and useAnalytics hook never change
across platforms. Firebase's event-name rules (snake_case, lowercase, ≤ 40 chars) line up with the
taxonomy rules in §2, so the canonical ANALYTICS_EVENTS constants are valid Firebase event names
as-is. Gate initFirebaseAnalytics() on consent (§6) — Firebase also exposes
setAnalyticsCollectionEnabled(false) to harden the opt-out.
Why this shape: analytics is the last thing that should crash an app. A vendor script that
fails to load, a global that isn't there yet, an adapter that throws on a malformed prop — all are
contained. The registry being exported and mutable makes dispatch unit-testable without mounting any
provider.
4. The provider + hook (SSR-safe entry)
A 'use client' context exposes track through useAnalytics(). Outside a provider (tests,
server) it returns a no-op, so instrumented components never throw in isolation.
// a tracked leaf — Server Components can't use the hook, so wrap in a thin client component"use client";
exportfunctionTrackedGithubLink({ href, children }: Props) {
const { track } = useAnalytics();
return (
<ahref={href}onClick={() => track(ANALYTICS_EVENTS.GITHUB_CLICK, { url: href })}
>
{children}
</a>
);
}
The provider does no work during render — track is stable and adapters guard their own
window access — so it's safe to mount at the root, including in SSR/RSC trees.
5. Real-user Core Web Vitals (the lab/field loop)
Report field vitals through the same fan-out. This is the complement to the lighthouse skill:
the lab gate sets the budget; the field tells you whether real users hit it.
Call reportWebVitals() once on the client (e.g. in the analytics provider's effect, or Next.js useReportWebVitals).
Use the same metrics and thresholds as the lighthouse skill (LCP ≤ 2500, INP ≤ 200, CLS ≤ 0.1) so lab and field speak the same language.
Lab budget green + field "poor" = a gap between your test conditions and real devices/networks — exactly what field RUM exists to reveal.
6. Consent and privacy gating
Telemetry fires only after opt-in, checked once at the fan-out boundary (§3) — not duplicated at
every call site.
// services/analytics/consent.tslet granted = false; // hydrate from a stored consent cookie/localStorage on initexportfunctionsetConsent(value: boolean): void {
granted = value;
}
exportfunctionhasConsent(): boolean {
return granted;
}
Hard rules:
track() early-returns when consent is absent — no events, no vitals, no error PII before opt-in.
Keep props PII-light: ids and enums, not emails/names/free text. Treat anything user-entered as sensitive.
Respect "Do Not Track" / regional regimes (GDPR/CCPA) by defaulting consent to false where required.
Error reports must scrub PII before leaving the device.
7. Error reporting at boundaries
Caught render errors and unhandled rejections go through the same fan-out (or a dedicated Sentry
adapter), at deliberate boundaries — not a global swallow.
Place boundaries at route/segment level (per the frontend-architecture page-directory model), so a crash degrades one surface, not the app.
Pair with the data layer's typed ApiError (frontend-data-contracts §6): report unexpected errors; expected ones (validation, 404) are handled, not reported as crashes.
8. Provider & framework adapters
The taxonomy + fan-out are constant; each provider is one window-guarded adapter.
AnalyticsProvider in the root layout (client boundary); call initFirebaseAnalytics() in a client effect; vitals via useReportWebVitals.
React + Vite / Remix
provider at app root; initFirebaseAnalytics() + reportWebVitals() in a top-level effect.
Expo / React Native
swap the web-vitals source for RN performance APIs and the web provider scripts for native SDKs (@react-native-firebase/analytics, Amplitude, PostHog-RN); the taxonomy, track fan-out, consent gate, and useAnalytics hook are unchanged. The Firebase adapter is the same shape — it guards the native module instead of window (see §3.1).
9. Conventions checklist (enforce in review)
Event names are canonical constants with a union type — zero inline event strings.
track() is the single entry point; reached via useAnalytics() (no-op outside a provider/SSR).
Every adapter guards its provider global and no-ops when absent or on the server.
Each adapter call is individually try/caught — one provider can't break the app or the others.
Consent is checked once at the fan-out; nothing fires before opt-in.
props are PII-light (ids/enums, not emails/names); error reports scrub PII.
Real-user Web Vitals report through the same fan-out, using the lighthouse skill's metrics/thresholds.
Error boundaries are placed per route/segment and report unexpected errors only.
The provider does no render-time work; the context value is memoized/stable.
Mutating the adapter registry (tests) is the dispatch-observation seam — no real provider mounted in tests.
10. How to apply this skill
Adding analytics to a project: create constants/analytics.ts (taxonomy), services/analytics/
(track + adapters + consent), and AnalyticsProvider. Mount the provider at the root; wrap tracked
leaves in thin client components.
Adding an event: add a constant to ANALYTICS_EVENTS, then track(ANALYTICS_EVENTS.NEW_ONE, props)
at the interaction. Never inline the string.
Wiring Firebase Analytics (web + RN): add a firebaseAdapter to the registry using the
platform-resolved files in §3.1 (firebase/analytics on web behind a lazy browser-only
initFirebaseAnalytics(); @react-native-firebase/analytics on native). Gate init on consent. The
taxonomy and fan-out are untouched — Firebase is just one more entry in analyticsAdapters.
Closing the lab/field loop: wire reportWebVitals() and compare field ratings against the
lighthouse skill's budgets; investigate any "lab green / field poor" gap.
Reviewing observability: run the checklist in §9. The highest-value catches are inline event
strings (taxonomy drift), an un-guarded adapter (a provider that can crash the app), and telemetry
firing before consent.
Publishing / installing this skill
This skill follows the Anthropic SKILL.md format and is portable across agents.
Keep it under skills/frontend-observability/SKILL.md in a public GitHub repo.
Keep the frontmatter name and high-signal description — discovery indexes match against it.
