rating-prompt-strategy

Overview of rating-prompt-strategy skill

The rating-prompt-strategy skill helps you decide when, how, and to whom an app should ask for a review so you improve ratings without irritating users. It is most useful for product, growth, and ASO work where the real goal is better star ratings, stronger conversion, and fewer low-score reviews after the wrong prompt timing.

What this skill is for

Use the rating-prompt-strategy skill when you need a review-request policy, not just a one-off prompt line. It focuses on practical decisions like trigger timing, success-moment selection, and platform-specific constraints that affect whether a request helps or hurts ratings.

Best-fit use cases

This skill fits apps that already have active users and want more 4–5 star ratings from satisfied customers. It is especially relevant for teams working on app store conversion, retention flows, post-success prompts, or recovery after a bad rating period.

What makes it different

The main value of the rating-prompt-strategy skill is discipline: it pushes you to prompt after value delivery, not during frustration. It also distinguishes iOS limits from Android review flow behavior, so you do not apply one platform’s rules to the other.

How to Use rating-prompt-strategy skill

Install and inspect the skill

Use the repository path skills/rating-prompt-strategy in Eronred/aso-skills, then start with SKILL.md. Because this repo is lean, the install decision mostly depends on reading the core guidance carefully and mapping it to your app’s actual success events.

Turn a vague ask into a usable brief

The rating-prompt-strategy install step matters less than the input quality. Give the skill a concrete scenario such as: “Prompt after first completed export, never after errors, only for users who completed 3+ successful sessions, on iOS and Android separately.” That is far better than “improve reviews,” because it tells the skill what counts as value, when the user is eligible, and what to avoid.

Use the right input context

For good rating-prompt-strategy usage, include: platform, app type, key success moment, current rating issue, and any existing prompt timing. If you can, add the current funnel state, such as “users usually hit value on day 2” or “bad reviews come after failed uploads,” because the prompt strategy should follow the actual user journey.

Read first for implementation logic

The most useful sections in SKILL.md are the rules around why ratings matter, the core prompt rule, and the platform-specific iOS and Android guidance. If you are deciding whether the skill fits, read those first before anything else; they reveal the constraints that will shape your final prompt strategy.

rating-prompt-strategy skill FAQ

Is this skill only for App Store ratings?

No. The rating-prompt-strategy skill is about app review prompting across platforms, with separate implications for iOS and Android. It is still centered on app-store-facing ratings and conversion, not general user feedback collection.

When should I not use it?

Do not use this skill if you are trying to handle review responses, moderation, or reputation management after the review is already posted. It is also a poor fit if you want to ask every user immediately on first launch, because the skill’s logic is built around earned prompts.

Is rating-prompt-strategy better than a generic prompt?

Usually yes, because a generic prompt often ignores timing, eligibility, and platform rules. The rating-prompt-strategy guide gives you a better chance of earning high ratings by aligning the ask with a real success moment instead of relying on wording alone.

Is it beginner-friendly?

Yes, if you can describe your app flow clearly. You do not need deep ASO expertise to benefit, but you do need to know where users experience value and where they tend to get frustrated.

How to Improve rating-prompt-strategy skill

Start from the user’s success moment

The biggest improvement comes from choosing a prompt trigger tied to completed value, not arbitrary usage count. For example, “after the user finishes their third successful project export” is stronger than “after three sessions,” because it reflects actual satisfaction.

Reduce false-positive prompts

A common failure mode is prompting too close to errors, failures, or unfinished workflows. If users are likely to feel blocked, delay the ask; the rating-prompt-strategy skill works best when it is used to protect ratings, not just increase prompt volume.

Specify platform limits and fallback behavior

For rating-prompt-strategy usage, tell the skill whether you are on iOS, Android, or both, and whether you need a fallback if the native review dialog does not appear. That matters because platform review APIs behave differently and can change how often the user actually sees the request.

Iterate from rating outcomes, not just prompt counts

After the first implementation, judge success by rating quality and review sentiment, not only by how many prompts were shown. If ratings do not improve, revise the trigger, narrow eligibility, or move the prompt later in the journey rather than making the ask more aggressive.