Research Winning Mobile App Patterns
Mobile teams often design from isolated inspiration and miss the patterns that shape successful app journeys. This skill guides structured research of top-grossing apps, screens, flows, and UI elements before implementation.
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
Review the Skillstore skill "appllama-usage" from https://skillstore.io/skills/appllama-appllama-usage.md and its manifest at https://skillstore.io/api/skills/appllama-appllama-usage/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
「appllama-usage」を使用しています。 Research habit tracker apps with strong onboarding and subscription flows.
期待される結果:
「appllama-usage」を使用しています。 Improve a workout summary screen that feels visually flat.
期待される結果:
Diagnose the hierarchy, search for keyword and semantic references, then define a stronger layout, control treatment, palette roles, and motion plan.
「appllama-usage」を使用しています。 Design a new mobile app from research.
期待される結果:
All 21 static findings are false positives based on the cited skill context. The MCP URL is an explicit tool dependency, simulator references describe app testing, and the detected backticks are Markdown formatting rather than shell execution.
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
https://skillstore.io/skills/appllama-appllama-usage/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/appllama-appllama-usage?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/appllama-appllama-usage?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/appllama-appllama-usage/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/appllama-appllama-usage.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>appllama. (2026). appllama-usage security audit report (audit version 1) [Author version 1.1.0]. Skillstore. https://skillstore.io/skills/appllama-appllama-usage/audits/1@techreport{appllama-appllama-appllama-usage-2026,
author = {appllama},
title = {appllama-usage security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/appllama-appllama-usage/audits/1},
note = {Author version 1.1.0}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "appllama-usage security audit report (audit version 1)"
version: "1.1.0"
type: report
authors:
- name: "appllama"
date-released: "2026-09-08"
url: "https://skillstore.io/skills/appllama-appllama-usage/audits/1"
identifiers:
- type: other
value: "skillstore:appllama-appllama-usage:audit:1"
description: "Skillstore immutable audit report identifier"
Study comparable apps, map their journeys, and turn observed patterns into a focused screen and navigation specification.
Diagnose hierarchy, motion, and control issues, then compare the screen with targeted references from successful apps.
Compare onboarding, paywall, welcome, or category-specific flows across apps and identify common patterns worth testing.
Research top-grossing apps for my mobile app category. Identify five relevant apps and summarize their main flows and screen counts.
Compare the onboarding flows of three strong apps in my category. For each step, record the user goal, information requested, and value provided.
Create a research plan for my target screen using keyword and semantic searches. Select the strongest references and explain the layout, controls, hierarchy, and motion patterns to extract.
Research the leading apps for my product concept, synthesize a screen-by-screen specification, define navigation and one-way doors, and produce a simulator verification checklist for happy, skeptical, and failure paths.
作成者
appllamaライセンス
MIT
作者バージョン
v1.1.0
Skillstore リビジョン
r1
参照
d9e5ab86dafd32a1ddde9b8b4fde177589b55b95
メンテナンスの新しさ
2026/9/8
利用状況
1 ダウンロード · 0 閲覧
ファイル構成
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