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in-app-messaging-kit skill

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This skill helps you design and coordinate in-app messaging campaigns with triggers, targeting, and measurement to boost onboarding and feature adoption.

npx playbooks add skill microck/ordinary-claude-skills --skill in-app-messaging-kit

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md

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---
name: in-app-messaging-kit
description: Library of in-product message patterns, triggers, and targeting rules.
---

# In-App Messaging Kit Skill

## When to Use
- Designing nudges, tooltips, and walkthroughs for onboarding or feature launches.
- Coordinating lifecycle messaging across in-app surfaces, chat, and email.
- Testing personalization ideas tied to usage milestones or cohorts.

## Framework
1. **Trigger Matrix** – event-based, state-based, and contextual triggers.
2. **Message Patterns** – tooltip, modal, checklist, banner, coachmark, chat prompt.
3. **Targeting Rules** – persona, plan/tier, usage depth, lifecycle stage.
4. **Measurement Plan** – success metrics (CTR, completion, conversion) and guardrails.
5. **Localization + Accessibility** – copy guidelines, fallback flows, and escalation options.

## Templates
- Message brief (goal, trigger, variant, CTA, measurement).
- Component library reference with best practices.
- Experiment tracker linking messages to outcomes.

## Tips
- Keep copy concise; pair visuals or GIFs where possible.
- Schedule “quiet hours” to avoid notification overload.
- Tie each message to a single next-best-action to reduce decision fatigue.

---

Overview

This skill is a compact in-app messaging kit that bundles common message patterns, trigger matrices, targeting rules, and measurement guidance for product teams. It helps design, launch, and iterate contextual nudges, tooltips, banners, and walkthroughs that guide users toward key actions. The kit focuses on clarity, measurability, and reduced user friction to improve onboarding and feature adoption.

How this skill works

The kit inspects product events and user state to recommend triggers: event-based (actions taken), state-based (account or session attributes), and contextual (time, device, or page). It maps those triggers to message patterns (tooltip, modal, banner, checklist, coachmark, chat prompt) and suggests targeting rules by persona, plan, usage depth, and lifecycle stage. It also provides a measurement plan with primary metrics (CTR, completion, conversion) and guardrails for experimentation and localization/accessibility guidance.

When to use it

Designing onboarding flows, feature announcements, or progressive disclosure for new features
Coordinating lifecycle messaging across in-app surfaces, chat, and email for consistent user journeys
Personalizing nudges tied to usage milestones, cohort behavior, or subscription tier
Running experiments to validate message copy, timing, or CTA variations
Creating quick templates and briefs for cross-functional handoffs (product, design, growth)

Best practices

Keep copy concise and focused on a single next-best-action to reduce decision fatigue
Pair short visuals or GIFs with messages where helpful to demonstrate value quickly
Use quiet hours and frequency caps to prevent notification overload
Define success metrics and guardrails before launching experiments to avoid biased results
Include localization fallbacks and accessibility checks in every template

Example use cases

Show a coachmark for a new editor toolbar after a user creates their first document
Trigger a modal prompt offering a free trial upgrade when usage exceeds a key threshold
Display a checklist walkthrough for multi-step setup tied to account creation
A/B test banner copy to improve conversion on a recently launched feature
Route help chat prompts to onboarding flows when users struggle with a task repeatedly

FAQ

How do I choose the right trigger type?

Match the trigger to intent: use event triggers for explicit actions, state triggers for account attributes, and contextual triggers for location or timing-based nudges.

What metrics should I track first?

Start with CTR and completion for engagement signals, then track downstream conversion and retention to measure true impact.