onboarding-optimization
by EronredThe onboarding-optimization skill helps improve first-run flows, reduce early drop-off, and increase activation so more new users reach first value. Use this onboarding-optimization guide when you need a structured, conversion-focused approach to onboarding-optimization for Conversion, from install to activation, with practical next steps for diagnosis and iteration.
This skill scores 82/100, which means it is a solid directory candidate: users who need onboarding and activation optimization will get clear trigger guidance and a substantial workflow instead of a generic prompt. The repository gives enough structure and specificity for install decisions, though it would be stronger with companion references and execution assets.
- Clear triggerability for onboarding, first-run flow, activation, and Day 1 drop-off use cases, with explicit example phrases in the description.
- Substantial operational content: a 6,068-character skill body with 9 H2 sections, 9 H3 sections, and workflow-oriented guidance centered on the activation event.
- Good agent leverage from the activation-first framing and initial assessment steps, which reduce guesswork versus a general optimization prompt.
- No scripts, references, resources, or support files, so the skill relies entirely on the markdown instructions rather than reusable tooling or examples.
- The excerpted workflow appears methodical but not heavily instrumented; users needing deeper measurement templates or decision rules may need to adapt it.
Overview of onboarding-optimization skill
What onboarding-optimization does
The onboarding-optimization skill helps you improve the first-run experience of an app so more new users reach the activation event, not just sign up. It is the right fit when you need onboarding-optimization for Conversion, Day 1 retention, or a cleaner path from install to first value.
Who should use it
Use this skill if you are working on product growth, lifecycle marketing, UX, or ASO and you need a practical onboarding-optimization guide rather than generic conversion advice. It is most useful when you already know the app’s goal and want to reduce early drop-off, shorten time to value, or remove friction from the first session.
What makes it different
The skill centers on activation first: it treats onboarding as a funnel toward one meaningful user action. That makes it better than broad “improve UX” prompts when the real issue is that users install, browse, and leave before experiencing value.
How to Use onboarding-optimization skill
Install onboarding-optimization
Install the onboarding-optimization skill in the repo or skill environment you are using, then open skills/onboarding-optimization/SKILL.md as the primary source. In this repository there are no supporting rules/, resources/, or scripts/ folders, so the skill file itself is the main implementation guide.
Start with the right input
The onboarding-optimization usage works best when you provide: app category, target audience, current onboarding steps, activation event, baseline conversion or drop-off rate, and any known friction points. A weak prompt like “make onboarding better” is too vague; a stronger prompt is: “Improve onboarding-optimization for a fitness app where activation = first workout completed, 62% of users drop at permission prompts, and the team wants three testable changes.”
Recommended workflow
First identify the activation event, then map the current flow, then isolate the biggest drop-off step, and only then ask for changes. If you skip that order, the skill can still suggest ideas, but the output will be less useful because it may optimize for comfort instead of activation. For best results, ask for a comparison between the current flow and a simplified path to activation.
What to read first
Start with SKILL.md, especially the sections on the activation principle and initial assessment. Those are the most decision-relevant parts because they tell you what the skill considers a real success metric and what data it needs before recommending changes.
onboarding-optimization skill FAQ
Is onboarding-optimization only for sign-up flows?
No. The onboarding-optimization skill is about first value, which may happen after sign-up, after a tutorial, after permission acceptance, or after a first core action. If your problem is purely account creation conversion, this skill may help, but it is stronger when the issue is early product activation.
When should I not use this skill?
Do not use onboarding-optimization if the main problem is long-term churn, pricing, or paywall placement. It also is not the best fit if you do not yet know the activation event, because the skill depends on that definition to judge whether the onboarding flow is actually working.
Is it better than a generic prompt?
Usually yes, because the onboarding-optimization guide forces you to define the activation event and inspect drop-off before suggesting changes. A generic prompt often produces shallow UI advice; this skill is more useful when you need a structured, conversion-focused diagnosis for onboarding-optimization for Conversion.
Can beginners use it?
Yes, but beginners get better results if they can describe the app in one sentence and name one measurable early goal. Even a simple prompt can work if it includes the category, the first-run flow, and where users stop progressing.
How to Improve onboarding-optimization skill
Give the skill a real activation metric
The fastest way to improve onboarding-optimization output is to specify the activation event in plain language and attach a baseline rate if you have one. “Activation = create first project; 41% reach it in 24 hours” is far better than “improve engagement,” because it gives the skill a concrete target.
Share the friction, not just the symptoms
If users are dropping off, say where and why: permission prompts, too many fields, unclear value proposition, forced tutorial, or delayed payoff. The skill can then separate avoidable friction from necessary steps instead of proposing generic simplifications.
Ask for testable changes
After the first output, iterate by asking for ranked recommendations, expected impact, and the smallest experiment that would validate each change. That turns the onboarding-optimization skill from a strategy summary into an execution plan you can ship and measure.