notification-system
Designs and implements multi-channel notification systems with email, push, and in-app delivery. Use when you need to build a notification service, set up user notification preferences, create delivery pipelines, implement retry logic for failed notifications, or route messages across channels. Trigger words: notification system, push notifications, email notifications, in-app notifications, notification preferences, delivery tracking, unsubscribe, notification routing.
Usage
Getting Started
- Install the skill using the command above
- Open your AI coding agent (Claude Code, Codex, Gemini CLI, or Cursor)
- Reference the skill in your prompt
- The AI will use the skill's capabilities automatically
Example Prompts
- "Review the open pull requests and summarize what needs attention"
- "Generate a changelog from the last 20 commits on the main branch"
Documentation
Overview
This skill enables AI agents to architect, implement, and configure multi-channel notification systems. It covers channel routing, user preference management, template rendering across formats, delivery tracking, retry logic, and compliance requirements like CAN-SPAM unsubscribe.
Instructions
1. Notification Architecture
Every notification system needs these components:
Event Source → Notification Router → Channel Adapters → Delivery
↓ ↓
Preference Store Retry Queue
↓
Dead Letter Queue
Notification Router: Receives a typed event, resolves the user's channel preferences, and dispatches to the appropriate channel adapters.
Channel Adapters: Pluggable handlers for each delivery channel. Must implement a common interface:
interface ChannelAdapter {
channel: 'email' | 'push' | 'in-app';
send(notification: FormattedNotification): Promise<DeliveryResult>;
validateRecipient(userId: string): Promise<boolean>;
}
Preference Store: Database-backed user preferences with per-notification-type, per-channel toggles. Some notifications (transactional/security) must be non-disableable.
2. Notification Type Classification
Always classify notifications into categories that determine default behavior:
| Category | Examples | Can Disable? | Default Channels |
|---|---|---|---|
| Security | Password reset, 2FA | No | |
| Transactional | Order confirm, receipt | No | Email + In-app |
| Activity | Comments, mentions | Yes | Push + In-app |
| Social | New follower, like | Yes | In-app |
| Marketing | Digest, announcements | Yes |
3. Channel-Specific Constraints
Email:
- Must include unsubscribe link (CAN-SPAM / GDPR)
- Use
List-Unsubscribeheader for one-click unsubscribe - HTML + plain text versions
- Sender reputation — batch marketing emails separately from transactional
Push Notifications:
- Title: max 65 characters, Body: max 178 characters (iOS truncation)
- Include
datapayload for deep linking - Handle token expiration and refresh
- Respect OS-level notification settings
In-App:
- Store in database with read/unread status
- Deliver in real-time via WebSocket if user is online
- Group related notifications (e.g., "3 people commented on your post")
- Paginate the notification feed
4. Retry and Failure Handling
Implement exponential backoff per channel:
- Email: 3 retries at 1min, 5min, 30min (provider outages are temporary)
- Push: 2 retries at 30s, 2min (invalid tokens should fail fast)
- In-app: 0 retries (direct DB write, either succeeds or doesn't)
After max retries, move to dead letter queue with full context for debugging.
5. Template Strategy
Use a single data context per notification type that renders differently per channel:
interface NotificationContext {
type: 'new-comment';
actor: { name: string; avatarUrl: string };
target: { title: string; url: string };
content: { preview: string; full: string };
}
// → Email: Full HTML with actor avatar, comment preview, and action button
// → Push: "Alex commented: 'Great analysis of the…'"
// → In-app: "Alex commented on Your Post Title" with link
6. Delivery Tracking
Track these states for every notification:
queued → sent → delivered → read → failed
Store in a notification_deliveries table with: notification_id, user_id, channel, status, attempted_at, delivered_at, read_at, error_message.
Examples
Example 1: Express + BullMQ notification router
Prompt: "Build a notification service for my Express app that sends order confirmations via email and in-app."
Output: The agent creates a BullMQ-backed router that accepts { type: 'order-confirmed', userId, data: { orderId, total, items } }, checks user preferences, and dispatches to the email adapter (SendGrid) and in-app adapter (PostgreSQL insert + Socket.io emit).
Example 2: Preference management API
Prompt: "Create an API for users to manage their notification preferences with a React settings page."
Output: The agent generates REST endpoints for CRUD on notification preferences, a migration for the notification_preferences table with a composite unique constraint on (user_id, notification_type, channel), and a React component rendering a matrix of toggles with notification types as rows and channels as columns.
Guidelines
- Never allow users to disable security notifications (password reset, 2FA codes)
- Always send email notifications from a queue, never synchronously in the request handler
- Batch notification grouping (e.g., "5 new comments") to avoid notification fatigue
- Test with notification-heavy scenarios: a user mentioned in a thread with 50 replies
- Include rate limiting on notifications per user per hour to prevent notification storms
- Log delivery metrics for monitoring: sent/delivered/failed rates by channel
Information
- Version
- 1.0.0
- Author
- terminal-skills
- Category
- Development
- License
- Apache-2.0