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Use Cases/Ship an Offline-First Progressive Web App

Ship an Offline-First Progressive Web App

Build a field inspection app that works without internet, syncs when connectivity returns, and handles conflict resolution — replacing a $50K/year native app budget.

Development#typescript#tsconfig#type-checking#type-safety#javascript-migration
Works with:claude-codeopenai-codexgemini-clicursor

Skills stack · 7 skills

Avg quality 96/100·All SAFE
>

typescript

v1.0.0

Sets up and repairs TypeScript projects: picks tsconfig.json settings for a Node.js service, an npm library or a bundled web app, runs type-checking in CI, and replaces `any` and unsafe casts with types the compiler can verify. Use when someone asks to "set up TypeScript", "fix this tsconfig", "fix a TypeScript error", "upgrade to TypeScript 6 or 7", "migrate JavaScript to TypeScript", "publish types for a package", "run .ts files in Node" or "make this type-safe". Covers the changed defaults in TypeScript 6.0 and 7.0, module and moduleResolution, strict mode, project references, declaration output, narrowing, satisfies and common compiler errors.

93/100 quality
7.30× impact
SAFE· stale score
View skill
>

nextjs

v1.1.0

Assists with building production-grade React applications using Next.js 16. Use when working with the App Router, Server Components, Server Actions, the proxy file (formerly middleware), Cache Components, or deploying to Vercel or self-hosted environments. Trigger words: nextjs, next.js, app router, server components, server actions, use cache, proxy.ts, react framework, ssr, isr.

100/100 quality
5.29× impact
SAFE· stale score
View skill
>

prisma

v1.1.0

Prisma ORM is a TypeScript database toolkit with a declarative schema, a generated type-safe client, and a migration system for PostgreSQL, MySQL/MariaDB, SQLite, SQL Server, CockroachDB and MongoDB. Use when someone asks to "set up Prisma", "write a Prisma schema", "run a Prisma migration", "query with Prisma Client", "fix Prisma 7 adapter errors", or "upgrade from prisma-client-js".

100/100 quality
3.80× impact
SAFE· stale score
View skill
>

pglite

v1.1.0

PGlite is Postgres compiled to WebAssembly: a real Postgres 18 database that runs inside the browser, Node.js, Bun or Deno with no server, in-memory or persisted to IndexedDB or a folder. Use when someone asks to "run Postgres in the browser", "embed Postgres in an app", "use PGlite", "local-first database", "Postgres for tests without Docker", or "vector search in the browser". Covers install, persistence, pgvector, live queries, workers, and upgrades between versions.

93/100 quality
5.00× impact
SAFE· stale score
View skill
>

zod

v1.1.0

Zod is a TypeScript-first schema library that validates data at runtime and infers static types from the same schema. Use when validating API request bodies, form input, environment variables or config files, parsing untrusted JSON, or migrating from Zod 3 to Zod 4. Covers z.object, safeParse, z.infer, coercion, discriminated unions, refinements, JSON Schema output and the v4 API changes.

93/100 quality
3.87× impact
SAFE· stale score
View skill
>

tailwindcss

v1.1.0

Tailwind CSS is a utility-first CSS framework: you style pages with small classes in the markup and ship only the CSS you use. Covers Tailwind v4 (CSS-first config with @theme, @import "tailwindcss", Vite and PostCSS plugins), responsive layouts, dark mode, custom animations, and the v3 to v4 renames. Use when someone asks to "style with Tailwind", "set up Tailwind v4", "upgrade Tailwind to v4", "add dark mode", or "fix Tailwind classes that stopped working".

93/100 quality
2.28× impact
SAFE· stale score
View skill
>

vitest

v1.1.0

Vitest is a test runner for JavaScript and TypeScript built on Vite, with a Jest-compatible API, built-in mocking, snapshots and code coverage. Use when a user asks to set up or run unit tests in a Vite or Node project, write tests with describe/it/expect, mock modules with vi.mock, add coverage thresholds, configure vitest.config.ts or test projects, migrate from Jest, or upgrade to Vitest 5.

100/100 quality
1.50× impact
SAFE· stale score
View skill
$

The Problem

Tomás manages a team of 40 field inspectors for a utility company. They inspect power lines, substations, and meters in rural areas with spotty cell coverage. Currently, inspectors fill paper forms, drive back to the office, and manually enter data — 3 hours of admin work per inspector per day. The company tried a native mobile app but it cost $50K/year for iOS + Android + backend, and inspectors still lost data when the app crashed without connectivity.

Tomás needs:

  • Full offline functionality — inspectors create, edit, and complete inspections with zero connectivity
  • Local-first data — the app works instantly, no loading spinners waiting for server
  • Background sync — when connectivity returns, data flows to the server automatically
  • Conflict resolution — two inspectors editing the same site's data doesn't lose changes
  • Installable on any device — no App Store approval, works on Android, iOS, and desktop
  • Photo capture — attach photos to inspections, upload when online

Step 1: Service Worker for Offline Shell

The service worker caches the app shell so it loads instantly even without internet.

typescript
// public/sw.ts
// Service worker: caches app shell and API responses for offline use

const CACHE_NAME = 'inspect-v1';
const SHELL_URLS = [
  '/',
  '/inspections',
  '/inspections/new',
  '/manifest.json',
  '/icons/icon-192.png',
  '/icons/icon-512.png',
];

// Cache app shell on install
self.addEventListener('install', (event: ExtendableEvent) => {
  event.waitUntil(
    caches.open(CACHE_NAME).then((cache) => cache.addAll(SHELL_URLS))
  );
  // Activate immediately — don't wait for old tabs to close
  (self as any).skipWaiting();
});

// Clean old caches on activate
self.addEventListener('activate', (event: ExtendableEvent) => {
  event.waitUntil(
    caches.keys().then((keys) =>
      Promise.all(
        keys
          .filter((key) => key !== CACHE_NAME)
          .map((key) => caches.delete(key))
      )
    )
  );
  // Take control of all open tabs immediately
  (self as any).clients.claim();
});

// Network-first for API, cache-first for assets
self.addEventListener('fetch', (event: FetchEvent) => {
  const url = new URL(event.request.url);

  if (url.pathname.startsWith('/api/')) {
    // Network first, fall back to cache
    event.respondWith(
      fetch(event.request)
        .then((response) => {
          // Cache successful GET responses
          if (event.request.method === 'GET' && response.ok) {
            const clone = response.clone();
            caches.open(CACHE_NAME).then((c) => c.put(event.request, clone));
          }
          return response;
        })
        .catch(() => caches.match(event.request).then((r) => r ?? new Response('Offline', { status: 503 })))
    );
  } else {
    // Cache first for static assets
    event.respondWith(
      caches.match(event.request).then((cached) => cached ?? fetch(event.request))
    );
  }
});

Step 2: Local Database with PGlite

PGlite runs a real PostgreSQL engine in the browser via WebAssembly. Inspectors get full SQL query power offline — no IndexedDB API gymnastics.

typescript
// src/lib/local-db.ts
// In-browser PostgreSQL via PGlite — full SQL, works offline

import { PGlite } from '@electric-sql/pglite';

let db: PGlite | null = null;

export async function getLocalDb(): Promise<PGlite> {
  if (db) return db;

  db = new PGlite('idb://inspect-db');  // persisted in IndexedDB

  // Run migrations on first open
  await db.exec(`
    CREATE TABLE IF NOT EXISTS inspections (
      id TEXT PRIMARY KEY,
      site_id TEXT NOT NULL,
      site_name TEXT NOT NULL,
      inspector_id TEXT NOT NULL,
      status TEXT NOT NULL DEFAULT 'draft',
      data JSONB NOT NULL DEFAULT '{}',
      photos TEXT[] NOT NULL DEFAULT '{}',
      created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
      updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
      synced_at TIMESTAMPTZ,
      version INTEGER NOT NULL DEFAULT 1,
      deleted BOOLEAN NOT NULL DEFAULT FALSE
    );

    CREATE TABLE IF NOT EXISTS sync_queue (
      id TEXT PRIMARY KEY,
      entity_type TEXT NOT NULL,
      entity_id TEXT NOT NULL,
      operation TEXT NOT NULL,
      payload JSONB NOT NULL,
      created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
      attempts INTEGER NOT NULL DEFAULT 0,
      last_error TEXT
    );

    CREATE TABLE IF NOT EXISTS photos (
      id TEXT PRIMARY KEY,
      inspection_id TEXT NOT NULL,
      blob_data BYTEA,
      mime_type TEXT NOT NULL DEFAULT 'image/jpeg',
      uploaded BOOLEAN NOT NULL DEFAULT FALSE,
      remote_url TEXT,
      created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
    );

    CREATE INDEX IF NOT EXISTS idx_inspections_status ON inspections(status);
    CREATE INDEX IF NOT EXISTS idx_inspections_site ON inspections(site_id);
    CREATE INDEX IF NOT EXISTS idx_sync_queue_created ON sync_queue(created_at);
  `);

  return db;
}

Step 3: Offline-First Data Layer

Every write goes to the local database first, then queues for sync. Reads always come from the local database — no loading states.

typescript
// src/lib/inspection-store.ts
// CRUD operations on local DB with automatic sync queue management

import { getLocalDb } from './local-db';
import { z } from 'zod';

export const InspectionData = z.object({
  equipmentType: z.string(),
  condition: z.enum(['good', 'fair', 'poor', 'critical']),
  notes: z.string(),
  measurements: z.record(z.string(), z.number()).optional(),
  checklistItems: z.array(z.object({
    id: z.string(),
    label: z.string(),
    checked: z.boolean(),
    note: z.string().optional(),
  })),
});

export type InspectionData = z.infer<typeof InspectionData>;

export async function createInspection(
  siteId: string,
  siteName: string,
  inspectorId: string,
  data: InspectionData
): Promise<string> {
  const db = await getLocalDb();
  const id = crypto.randomUUID();

  await db.exec(`
    INSERT INTO inspections (id, site_id, site_name, inspector_id, status, data)
    VALUES ($1, $2, $3, $4, 'draft', $5)
  `, [id, siteId, siteName, inspectorId, JSON.stringify(data)]);

  // Queue for sync when online
  await queueSync('inspection', id, 'create', {
    id, siteId, siteName, inspectorId, data,
  });

  return id;
}

export async function updateInspection(
  id: string,
  data: Partial<InspectionData>,
  status?: string
): Promise<void> {
  const db = await getLocalDb();

  // Merge with existing data
  const existing = await db.query(
    'SELECT data, version FROM inspections WHERE id = $1', [id]
  );
  if (!existing.rows.length) throw new Error(`Inspection ${id} not found`);

  const merged = { ...existing.rows[0].data, ...data };
  const newVersion = existing.rows[0].version + 1;

  await db.exec(`
    UPDATE inspections
    SET data = $1, version = $2, updated_at = NOW()
    ${status ? ', status = $4' : ''}
    WHERE id = $3
  `, status
    ? [JSON.stringify(merged), newVersion, id, status]
    : [JSON.stringify(merged), newVersion, id]
  );

  await queueSync('inspection', id, 'update', {
    id, data: merged, status, version: newVersion,
  });
}

export async function listInspections(filters?: {
  status?: string;
  siteId?: string;
}): Promise<any[]> {
  const db = await getLocalDb();
  let query = 'SELECT * FROM inspections WHERE deleted = FALSE';
  const params: any[] = [];

  if (filters?.status) {
    params.push(filters.status);
    query += ` AND status = $${params.length}`;
  }
  if (filters?.siteId) {
    params.push(filters.siteId);
    query += ` AND site_id = $${params.length}`;
  }

  query += ' ORDER BY updated_at DESC';
  const result = await db.query(query, params);
  return result.rows;
}

async function queueSync(
  entityType: string,
  entityId: string,
  operation: string,
  payload: Record<string, unknown>
): Promise<void> {
  const db = await getLocalDb();
  await db.exec(`
    INSERT INTO sync_queue (id, entity_type, entity_id, operation, payload)
    VALUES ($1, $2, $3, $4, $5)
  `, [crypto.randomUUID(), entityType, entityId, operation, JSON.stringify(payload)]);
}

Step 4: Background Sync Engine

When connectivity returns, the sync engine processes the queue in order, handling conflicts with last-write-wins + version vectors.

typescript
// src/lib/sync-engine.ts
// Processes sync queue when online, handles conflicts

import { getLocalDb } from './local-db';

const SYNC_API = '/api/sync';
const MAX_BATCH = 20;      // sync 20 items at a time
const RETRY_DELAY = 5000;  // 5s between retries

export class SyncEngine {
  private syncing = false;
  private intervalId: number | null = null;

  start(): void {
    // Listen for online events
    window.addEventListener('online', () => this.processQueue());

    // Periodic sync every 30 seconds when online
    this.intervalId = window.setInterval(() => {
      if (navigator.onLine) this.processQueue();
    }, 30_000) as unknown as number;

    // Initial sync if online
    if (navigator.onLine) this.processQueue();
  }

  stop(): void {
    if (this.intervalId) clearInterval(this.intervalId);
  }

  async processQueue(): Promise<void> {
    if (this.syncing) return;  // prevent concurrent sync
    this.syncing = true;

    try {
      const db = await getLocalDb();

      // Get pending sync items, oldest first
      const pending = await db.query(`
        SELECT * FROM sync_queue
        ORDER BY created_at ASC
        LIMIT $1
      `, [MAX_BATCH]);

      if (!pending.rows.length) return;

      // Send batch to server
      const response = await fetch(SYNC_API, {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify({ items: pending.rows }),
      });

      if (!response.ok) {
        throw new Error(`Sync failed: ${response.status}`);
      }

      const results = await response.json() as SyncResult[];

      for (const result of results) {
        if (result.status === 'ok') {
          // Remove from queue
          await db.exec('DELETE FROM sync_queue WHERE id = $1', [result.queueId]);

          // Mark as synced
          if (result.entityType === 'inspection') {
            await db.exec(
              'UPDATE inspections SET synced_at = NOW() WHERE id = $1',
              [result.entityId]
            );
          }
        } else if (result.status === 'conflict') {
          // Server has a newer version — merge
          await handleConflict(db, result);
        } else {
          // Increment attempt counter
          await db.exec(`
            UPDATE sync_queue SET attempts = attempts + 1, last_error = $1
            WHERE id = $2
          `, [result.error, result.queueId]);
        }
      }
    } catch (err) {
      console.warn('Sync error (will retry):', err);
    } finally {
      this.syncing = false;
    }
  }
}

interface SyncResult {
  queueId: string;
  entityType: string;
  entityId: string;
  status: 'ok' | 'conflict' | 'error';
  error?: string;
  serverVersion?: number;
  serverData?: Record<string, unknown>;
}

async function handleConflict(
  db: any,
  result: SyncResult
): Promise<void> {
  // Last-write-wins with field-level merge
  // Server data takes precedence for same fields, local additions preserved
  const local = await db.query(
    'SELECT data FROM inspections WHERE id = $1', [result.entityId]
  );
  if (!local.rows.length) return;

  const merged = { ...local.rows[0].data, ...result.serverData };
  await db.exec(`
    UPDATE inspections
    SET data = $1, version = $2, synced_at = NOW()
    WHERE id = $3
  `, [JSON.stringify(merged), result.serverVersion, result.entityId]);

  // Remove from queue — conflict resolved
  await db.exec('DELETE FROM sync_queue WHERE id = $1', [result.queueId]);
}

Step 5: Photo Capture and Offline Storage

Photos are stored as blobs in the local database and uploaded when online.

typescript
// src/lib/photo-store.ts
// Captures photos, stores locally, uploads in background

import { getLocalDb } from './local-db';

export async function capturePhoto(inspectionId: string): Promise<string> {
  // Use the device camera via file input
  const input = document.createElement('input');
  input.type = 'file';
  input.accept = 'image/*';
  input.capture = 'environment';  // rear camera

  return new Promise((resolve, reject) => {
    input.onchange = async () => {
      const file = input.files?.[0];
      if (!file) return reject(new Error('No photo captured'));

      // Compress before storage — 800px wide, 70% quality
      const compressed = await compressImage(file, 800, 0.7);
      const photoId = crypto.randomUUID();

      const db = await getLocalDb();
      await db.exec(`
        INSERT INTO photos (id, inspection_id, blob_data, mime_type)
        VALUES ($1, $2, $3, $4)
      `, [photoId, inspectionId, compressed, 'image/jpeg']);

      // Add photo reference to inspection
      await db.exec(`
        UPDATE inspections
        SET photos = array_append(photos, $1), updated_at = NOW()
        WHERE id = $2
      `, [photoId, inspectionId]);

      resolve(photoId);
    };
    input.click();
  });
}

async function compressImage(
  file: File,
  maxWidth: number,
  quality: number
): Promise<Uint8Array> {
  const bitmap = await createImageBitmap(file);
  const scale = Math.min(1, maxWidth / bitmap.width);
  const canvas = new OffscreenCanvas(
    bitmap.width * scale,
    bitmap.height * scale
  );
  const ctx = canvas.getContext('2d')!;
  ctx.drawImage(bitmap, 0, 0, canvas.width, canvas.height);
  const blob = await canvas.convertToBlob({ type: 'image/jpeg', quality });
  return new Uint8Array(await blob.arrayBuffer());
}

export async function uploadPendingPhotos(): Promise<number> {
  const db = await getLocalDb();
  const pending = await db.query(
    'SELECT id, inspection_id, blob_data, mime_type FROM photos WHERE uploaded = FALSE LIMIT 5'
  );

  let uploaded = 0;
  for (const photo of pending.rows) {
    try {
      const form = new FormData();
      form.append('file', new Blob([photo.blob_data], { type: photo.mime_type }));
      form.append('inspectionId', photo.inspection_id);

      const res = await fetch('/api/photos/upload', { method: 'POST', body: form });
      if (!res.ok) continue;

      const { url } = await res.json();
      await db.exec(`
        UPDATE photos SET uploaded = TRUE, remote_url = $1, blob_data = NULL
        WHERE id = $2
      `, [url, photo.id]);

      uploaded++;
    } catch {
      // Will retry on next sync cycle
    }
  }

  return uploaded;
}

Step 6: PWA Manifest and Install Prompt

json
// public/manifest.json
{
  "name": "Field Inspector",
  "short_name": "Inspector",
  "description": "Offline-first field inspection app",
  "start_url": "/inspections",
  "display": "standalone",
  "background_color": "#ffffff",
  "theme_color": "#2563eb",
  "icons": [
    { "src": "/icons/icon-192.png", "sizes": "192x192", "type": "image/png" },
    { "src": "/icons/icon-512.png", "sizes": "512x512", "type": "image/png" }
  ]
}
typescript
// src/components/install-prompt.tsx
// Shows install banner for users who haven't installed yet

'use client';

import { useState, useEffect } from 'react';

export function InstallPrompt() {
  const [deferredPrompt, setDeferredPrompt] = useState<any>(null);

  useEffect(() => {
    const handler = (e: Event) => {
      e.preventDefault();
      setDeferredPrompt(e);
    };
    window.addEventListener('beforeinstallprompt', handler);
    return () => window.removeEventListener('beforeinstallprompt', handler);
  }, []);

  if (!deferredPrompt) return null;

  return (
    <div className="fixed bottom-4 left-4 right-4 bg-blue-600 text-white p-4 rounded-lg shadow-lg flex items-center justify-between">
      <div>
        <p className="font-semibold">Install Field Inspector</p>
        <p className="text-sm opacity-90">Works offline, syncs when connected</p>
      </div>
      <button
        onClick={async () => {
          await deferredPrompt.prompt();
          setDeferredPrompt(null);
        }}
        className="bg-white text-blue-600 px-4 py-2 rounded font-medium"
      >
        Install
      </button>
    </div>
  );
}

Results

After 3 months of field use by 40 inspectors:

  • Data entry time dropped from 3 hours/day to 20 minutes — inspectors complete forms on-site
  • Zero data loss — 15,000+ inspections synced without a single lost record
  • $50K/year saved — eliminated native app development and App Store maintenance
  • Offline usage: 34% of all inspections are completed with no connectivity, synced later
  • Photo sync handles 200+ photos/day per inspector with automatic compression (average 180KB/photo)
  • Conflict rate: 0.3% of syncs hit conflicts, all auto-resolved via field-level merge
  • Install rate: 92% of inspectors installed the PWA within the first week
  • Lighthouse PWA score: 100 — full offline support, installable, fast

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