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notification-strategy-review
About notification-strategy-review
A marketing skill for reviewing notification programs and producing lifecycle, consent, frequency, suppression, measurement, and trust artifacts. It is intended for teams designing or revising notifications, with detailed fatigue, privacy, and cross-channel controls.
Key features
- 01Lifecycle and consent matrices
- 02Frequency budgets and quiet hours
- 03Cross-channel deduplication rules
- 04Fatigue incident analysis
- 05Notification taxonomy and metrics
Use cases
- 01Plan lifecycle notification campaigns
- 02Investigate rising opt-outs or complaints
- 03Set channel-specific consent and frequency rules
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ sylphxai/ skills --skill notification-strategy-reviewAfter installing, type/notification-strategy-reviewin Claude Code to confirm it loaded.
Bundled filesagents/openai.yamlreferences/notification-strategy-patterns.md
Details
From the project READMENotification Strategy Review
Use this skill to make notifications useful enough to deserve attention.
Workflow
- Identify channel, user lifecycle stage, product promise, message objective, user intent, region, consent state, preference state, content sensitivity, audience role, and fatigue risk.
- Read
references/notification-strategy-patterns.md. - Classify messages by utility, urgency, consent, lifecycle trigger, frequency, fallback channel, and failure risk.
- Build lifecycle, consent/region, privacy/redaction, role/severity, and suppression matrices before proposing campaigns.
- Define an explicit frequency budget: global cap, category cap, lifecycle-event cap, quiet-hours behavior, cooldown, digest threshold, and emergency override rule.
- Define deterministic cross-channel dedupe with
dedupe_key, channel priority, success stop condition, support/billing stop condition, stale-event expiry, and suppression reason. - If notifications are already causing fatigue, complaints, opt-outs, or support contacts, produce an incident readback before adding sends: cohort × channel × lifecycle event × consent state × frequency bucket × complaint/unsubscribe/support signal.
- Design permission timing, preferences, fallback, measurement, support recovery, and experiment guardrails.
- Produce a notification taxonomy, lifecycle journey map, channel/frequency policy, suppression rules, consent/preference model, incident/readback plan, event schema, and trust metrics.
When not to use
- Do not use for generic advice the base model already handles without this skill's specific artifact contract.
Guardrails
- Do not use notifications to compensate for weak product value.
- Do not mix transactional, security, marketing, and engagement consent.
- Give users controls, quiet hours, and clear unsubscribe paths.
- Do not send duplicate push/email/in-app messages for the same lifecycle event unless escalation value is explicit.
- Do not ask platform push permission before the user has seen a concrete notification value moment.
- Do not repeatedly ask after denial; use in-product education, preference-center recovery, and a user-initiated path back to OS/browser settings.
- Do not optimize opens/clicks without delivery, opt-out, unsubscribe, complaint, retention, and long-term trust guardrails.
- Do not describe fatigue management as "cap frequency" without naming concrete global, category, lifecycle-event, cooldown, and digest rules.
- Do not use emergency override for marketing, habit nudges, win-back, IAP promotions, daily rewards, energy reminders, leaderboard resets, or live-event urgency. Reserve it for security, safety, service continuity, or explicit user-requested exact reminders, and log the override reason.
- Do not continue a sequence after the user converts, cancels, pays, resolves the workflow, contacts support, unsubscribes, or complains.
- Do not expose secrets, health/finance details, precise location, private message content, or sensitive account state in lock-screen previews, push payloads, SMS bodies, or email subjects; use auth-gated deep links for details.
- Do not infer consent across channels or categories; email, SMS, push, in-app, desktop/browser, transactional, and marketing controls must stay separate.
Output format
Notification objective:
Channels:
Lifecycle matrix:
| Lifecycle state | Trigger | User value | Channel priority | Consent/preference state | Frequency/suppression | Metric |
| --- | --- | --- | --- | --- | --- | --- |
Consent and regional control matrix:
| Channel/region | Permission timing | Required consent/preference | Unsubscribe/opt-out | Fallback if denied | Evidence |
| --- | --- | --- | --- | --- | --- |
Privacy/redaction and deep-link policy:
| Content type | Sensitive fields to exclude | Lock-screen/subject/SMS copy | Deep-link auth | Support-safe evidence |
| --- | --- | --- | --- | --- |
Role/severity routing:
| Audience role | Severity | Allowed channels | Escalation | Audit/owner |
| --- | --- | --- | --- | --- |
Taxonomy and channel policy:
- <message type> -> trigger, user value, channel, priority, frequency, control, suppression/dedupe rule
Frequency and suppression budget:
- Global cap:
- Category caps:
- Lifecycle-event cap:
- Cooldowns:
- Digest/quiet-hours rules:
- Emergency override:
Cross-channel dedupe and stop rules:
| Lifecycle event | Dedupe key | Priority order | Stop condition | Suppression reason | Owner |
| --- | --- | --- | --- | --- | --- |
Preference and recovery model:
| Consent/preference state | Allowed action | Recovery path | Prohibited action | Evidence |
| --- | --- | --- | --- | --- |
Fatigue/incident readback, when applicable:
| Cohort | Channel | Lifecycle event | Frequency bucket | Harm signal | Decision | Owner |
| --- | --- | --- | --- | --- | --- | --- |
Risks and guardrails:
- <risk> -> <guardrail>
Events and trust metrics:
- <event> with channel, category, trigger_event, consent_state, preference_state, suppression_reason, dedupe_key, delivered/opened/dismissed/unsubscribed/complaint/retention outcome
Comments
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