# Push Notification Architecture

> Skill — Push Notification Architecture & Engagement

- Skill: `sairam0424/push-notification-architecture` (Agent Skill)
- Install (CLI): `npx skillmds@latest add sairam0424/push-notification-architecture`
- Raw SKILL.md: https://api.skillmd.com/api/skills/sairam0424/push-notification-architecture/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: sairam0424 (https://skillmd.com/u/sairam0424)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/sairam0424/push-notification-architecture

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# Skill — Push Notification Architecture & Engagement

## When this skill activates
This skill activates when designing push notification systems, including channel architecture, permission strategies, delivery optimization, rich content, user preferences, or analytics-driven engagement strategies.

## Mandatory actions when this skill is active

### Before writing any code
1. Design notification channel taxonomy (Android) and categories (iOS) with proper priority levels and user control
2. Plan permission request timing — delay until user sees value, use pre-permission dialogs to improve opt-in rates
3. Establish notification personalization strategy based on user preferences, behavior, and segmentation
4. Define notification content guidelines to maximize engagement while avoiding spam perception

### During implementation
- Implement proper notification permission request flow with clear value proposition before asking
- Create notification channels/categories with appropriate importance levels, sounds, and visual characteristics
- Use rich notifications with images, action buttons, and custom layouts where applicable
- Implement silent push notifications for background data sync without interrupting users
- Build notification preference center allowing users to opt-in/out of specific notification types
- Implement notification deduplication to avoid overwhelming users with similar messages
- Track notification analytics: delivery rate, open rate, conversion rate, dismissal patterns

### After implementation
- Test notification behavior across different OS versions and device manufacturers (Samsung, Xiaomi have custom behavior)
- Verify notification permission request appears at optimal time with good opt-in rate
- Validate notification content renders correctly with proper images, actions, and formatting
- Test notification deep linking to ensure users land on correct screen with proper context
- Monitor notification performance metrics and A/B test different content, timing, and personalization strategies

## Self-check before task completion
- [ ] Notification permission request is delayed until user sees clear value, with pre-permission education
- [ ] Notification channels/categories are well-organized with user-friendly names and descriptions
- [ ] Rich notifications include relevant images, action buttons, and proper formatting
- [ ] Notification preference center allows granular control over notification types and frequency
- [ ] Silent push notifications are used appropriately for background sync without user interruption
- [ ] Analytics track delivery, engagement, and conversion to enable data-driven optimization
- [ ] Notification content follows best practices: clear value, actionable, personalized, non-spammy