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Onboarding Optimization skill

When the user wants to improve their app's onboarding experience, increase activation rate, reduce Day 1 drop-off, or optimize the first-run flow. Use when the user mentions "onboarding", "first-run", "activation", "tutorial", "day 1 retention", "new user flow", "permission prompts", "sign-up conversion", "onboarding funnel", or "users dropping off early". For overall retention strategy, see retention-optimization. F

$npx skills add appeeky/aso-skills --skill onboarding-optimization
View this skill on GitHubappeeky/aso-skills/skills/onboarding-optimization/SKILL.md
Pack stars
2,286
Pack installs
115k
Alyn Score
67/99
Updated
25 h ago
License
MIT
– views – installs via Alyn

Install Onboarding Optimization

Pick your agent. Every command is ready to paste.

$npx skills add appeeky/aso-skills --skill onboarding-optimization

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads onboarding-optimization when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the onboarding-optimization skill”. In Codex, type $onboarding-optimization.

The skill itself

SKILL.md

FolderGitHub

Onboarding Optimization

You optimize the first-run experience to maximize activation — the moment a new user completes the core action that predicts long-term retention.

The Activation Principle

Activation ≠ sign-up. Activation is the first time the user gets real value from your app. Identify it before anything else.

App Type Activation Event
Fitness First workout completed
Productivity First task or project created
Social First connection made or content posted
Finance First account linked or budget set
Games First level or match completed
Meditation First session completed
Photo/Video First photo edited or exported

Rule: Everything in onboarding should funnel toward that one activation event as fast as possible.

Initial Assessment

  1. Check for app-marketing-context.md
  2. Ask: What is your activation event?
  3. Ask: What % of new users reach it within 24 hours? (baseline)
  4. Ask: Where do users drop off? (which step, if known)
  5. Ask: How long does your current onboarding take? (steps, screens)
  6. Ask: Do you have Firebase/Mixpanel funnels set up?

Onboarding Audit Framework

Step 1 — Map the Current Flow

List every screen from app open to activation:

App open → [Screen 1] → [Screen 2] → ... → Activation event

Flag each screen: Required | Value-adding | Friction only

Remove or defer everything that is friction-only.

Step 2 — Score Each Screen

Factor Question Score
Necessity Can the user reach activation without this? 0 = skip it
Timing Is this the right moment for this ask?
Value exchange Does the user understand why this benefits them?
Cognitive load How many decisions does this require?

Step 3 — Permission Prompt Timing

Permissions are the #1 drop-off point. Rules:

Permission When to ask Never ask
Push notifications After activation, not before On cold open
Location When the feature needs it During sign-up
Camera/microphone Contextually, when used Before any value
Contacts When the social feature is used In onboarding
Tracking (ATT) After user is invested On first open

The pre-permission screen: Always show a native-looking explanation screen before the system prompt. Users who understand the "why" grant at 2–3× the rate.

Step 4 — Sign-Up Friction

Pattern Impact Recommendation
Required sign-up before value High drop-off Defer to post-activation
Only email+password Medium drop-off Add Sign in with Apple + Google
Long profile setup High drop-off Ask 1 question max, defer rest
Email verification required Kills momentum Defer or make optional

Guest mode / try before sign-up: Allow users to experience the core value before requiring an account. Conversion from guest → registered is typically 40–60% vs. a hard gate at 15–30%.

Onboarding Patterns by App Type

Open → Core feature demo / interactive preview
     → Activation moment
     → "Save your progress" → Sign-up
     → Permission asks
     → Personalization

Personalization-First (works for health, fitness, AI apps)

Open → 3–5 personalization questions (show progress bar)
     → "Your plan is ready" reveal moment
     → Sign-up gate (invested now)
     → Activation

Social-First (social apps)

Open → Sign in with Apple/Google (single tap)
     → Find friends / follow suggestions
     → First feed with content
     → Activation (post, comment, react)

Funnel Benchmarks

Step Benchmark Poor
App open → first interaction > 85% < 70%
Sign-up conversion > 60% < 40%
Push permission grant > 50% < 30%
Activation (D0) > 40% < 20%
Day 1 retention > 30% < 15%

Personalization Questions

If you include personalization, follow these rules:

  • Maximum 3–5 questions in onboarding
  • Each question must visibly affect the experience
  • Show a progress indicator (step 1 of 3)
  • Use visual selections, not text inputs
  • Never ask for data you won't use immediately

Paywall Placement in Onboarding

Rule: Show value before the paywall.

Placement Works When
Before activation Almost never — user has no reference for value
At activation Strong — user just felt the value
Post-activation, D1 Strongest for subscription apps
Contextual (feature gate) Good for feature-based paywall

See monetization-strategy for paywall design details.

Output Format

Onboarding Audit

Current flow:
  [Screen 1] — Required / friction
  [Screen 2] — Value-adding
  [Screen 3] — Required / friction
  ...
  [Activation event] — Step N

Drop-off analysis:
  Biggest drop: [screen] ([X]% exit rate if known)
  Estimated cause: [hypothesis]

Recommended changes:
1. [Remove / defer X] — Expected impact: [lift in activation]
2. [Reorder Y before Z] — Expected impact: [rationale]
3. [Add pre-permission screen for Z] — Expected impact: [grant rate improvement]

Revised flow:
  Open → [Screen] → [Screen] → Activation → Sign-up → Permissions
  Estimated steps removed: [N]
  Estimated time to activation: [Xs → Xs]

Permission Screen Copy Template

[Icon representing the permission]

[Benefit headline — what the user gets]
e.g., "Get notified when your goal is complete"

[One-line explanation]
e.g., "We'll only send you reminders you set — no spam."

[Allow button]     [Not now]
  • retention-optimization — Day 7/30 retention strategy
  • monetization-strategy — Paywall placement and trial design
  • ab-test-store-listing — Test onboarding variants
  • app-analytics — Set up activation funnel tracking
  • rating-prompt-strategy — When to ask for a rating post-activation

Tips for Onboarding Optimization

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It is part of a pack with 30 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Onboarding Optimization

What does the Onboarding Optimization skill do?

When the user wants to improve their app's onboarding experience, increase activation rate, reduce Day 1 drop-off, or optimize the first-run flow. Use when the user mentions "onboarding", "first-run", "activation", "tutorial", "day 1 retention", "new user flow", "permission prompts", "sign-up conversion", "onboarding funnel", or "users dropping off early". For overall retention strategy, see retention-optimization. F

How do I install Onboarding Optimization?

Run "npx skills add appeeky/aso-skills --skill onboarding-optimization" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Onboarding Optimization work in Cursor and Codex?

Yes. Onboarding Optimization uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Onboarding Optimization free?

Onboarding Optimization is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.

Who made Onboarding Optimization?

Onboarding Optimization is published by appeeky in the appeeky/aso-skills repository, together with 29 other skills.

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