app-rejection-recovery
by Eronredapp-rejection-recovery helps diagnose Apple App Review and Google Play rejections, turn vague review feedback into a clear fix plan, and draft a reviewer-ready response for fast resubmission. Use this app-rejection-recovery guide when an app update, appeal, or policy review is blocked and you need practical app-rejection-recovery usage without guesswork.
This skill scores 83/100, which makes it a solid directory listing for users dealing with App Store or Google Play rejections. It is clearly triggerable from the description, and the body shows a structured workflow for diagnosing the rejection, drafting a response, and resubmitting, so users should get materially more guidance than a generic prompt.
- Strong trigger language for common rejection scenarios across Apple and Google Play.
- Operational workflow is explicit: collect the rejection text, classify the guideline, then fix and resubmit.
- Good install decision value for a narrow, high-urgency use case with clear time-to-outcome expectations (24–72 hours).
- The repository appears to be a single SKILL.md with no support files or scripts, so users should expect guidance rather than automation.
- No install command or companion assets are provided, which limits onboarding clarity for some users.
Overview of app-rejection-recovery skill
What app-rejection-recovery does
app-rejection-recovery helps you turn an App Store or Google Play rejection into a clear diagnosis, a targeted fix plan, and a reviewer-ready response. It is built for the moment after a rejection lands: when you need to understand the real blocker, decide what to change, and resubmit quickly without guessing.
Best fit and job-to-be-done
Use the app-rejection-recovery skill when an app, update, appeal, or policy review is blocked by Apple App Review or Google Play Review. It is most useful for founders, PMs, developers, ASO teams, and agencies who need to recover from a rejection fast, especially when the rejection text is vague, policy-heavy, or split across multiple issues.
What makes it different
The value of app-rejection-recovery for Workflow Automation is that it focuses on triage before copywriting: classify the rejection, identify the likely root cause, then produce the response or next-step plan. That is more decision-useful than a generic prompt because it forces the workflow to center on the exact guideline, review context, and version change history.
How to Use app-rejection-recovery skill
Install and open the right file first
Use the app-rejection-recovery install flow by adding the skill from Eronred/aso-skills, then start with skills/app-rejection-recovery/SKILL.md. There are no helper scripts or extra reference folders in this skill, so the main value is in reading the skill instructions carefully and feeding it the right review details.
Give the skill the rejection, not a summary
For best app-rejection-recovery usage, paste the full rejection message verbatim, including guideline numbers, reviewer comments, screenshots notes, or policy references. Also include store, first submission vs update, app category, app ID, and what changed in this release. If the message mentions multiple issues, keep them separate so the skill can classify them cleanly.
Turn a vague ask into a strong prompt
A weak prompt says: “My app was rejected, help.” A stronger prompt says: “My iOS update was rejected for Guideline 2.1. Here is the full text, last approved version, and the changes in this build. I need a diagnosis, the minimum fix, and a reviewer response I can paste into Resolution Center.” That framing gives the skill enough context to produce a usable recovery plan instead of generic advice.
Use a review-first workflow
Start by classifying the rejection bucket, then decide whether the right output is a fix plan, a support response, an appeal, or a resubmission note. When you use app-rejection-recovery this way, it can help with common cases like crashes, incomplete functionality, metadata mismatches, permission or privacy complaints, sign-in issues, and policy violations without drifting into unrelated ASO work.
app-rejection-recovery skill FAQ
Is this only for Apple?
No. The app-rejection-recovery skill is aimed at both Apple App Review and Google Play Review, but the exact evidence and wording differ by store. Use it when you need a store-specific recovery path, not just a generic explanation of what the policy might mean.
When should I not use it?
Do not use app-rejection-recovery for broad pre-launch listing cleanup or keyword work unless rejection is the real problem. If you only need store metadata tuning, a different workflow is usually better; this skill is strongest when the app is already blocked and you need to get unblocked.
Can a beginner use this skill?
Yes, if they can paste the rejection text and answer a few basic questions. The main requirement is not technical depth but accuracy: the more complete the review message and version context, the more useful the app-rejection-recovery guide becomes.
Does it replace a human policy review?
No. It helps structure the response and action plan, but it does not guarantee approval. Treat it as a recovery assistant for interpretation, prioritization, and drafting, especially when you need a fast first pass before legal, product, or engineering review.
How to Improve app-rejection-recovery skill
Feed the skill the highest-signal facts
The biggest quality boost comes from providing the exact rejection text, the affected platform, the app’s current state, and the changes made since the last approval. If there is a reviewer screenshot, test account requirement, or feature flag involved, include that too; these details often determine whether the fix is code, metadata, or reviewer instruction.
Separate symptoms from root causes
Common failure mode: the user reports “rejected for Guideline 2.1” but the real issue is a crash on launch, a dead link, or a missing login state. In app-rejection-recovery, describe what the reviewer saw, what the app does in that flow, and whether the issue is reproducible internally. That helps the skill avoid treating a symptom as the fix.
Ask for the output you actually need
If you want a response letter, say so. If you want a triage memo, say so. If you need a resubmission checklist for engineering, say so. The best app-rejection-recovery usage comes from specifying whether you need diagnosis, reviewer reply, appeal language, or a step-by-step fix plan.
Iterate after the first draft
Use the first answer to tighten the evidence, not just the wording. If the diagnosis seems off, add the exact guideline clause, device or account conditions, and what changed in the latest build. For borderline cases, ask the skill to produce two versions: a conservative fix path and a faster appeal path, then choose based on risk and launch timing.